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healthcare-blockchains | update as of july 25 2018 we have combined efforts with the mt sinai center for biomedical blockchain research http biomedicalblockchain org to launch an interactive landscape map and open source registry of biomedical blockchains check out the map https db biomedicalblockchain org and submit a new project here https db biomedicalblockchain org submit learn more about why we took on this project in our stat news july 2018 op ed https www statnews com 2018 07 25 blockchains biomedicine health care buyer be informed where are the healthcare related blockchains healthcare blockchain healthcare blockchain png we ve drafted an open source landscape map for healthcare related blockchains this repository was inspired by conversations with paul https github com pfletcherhill from patientbank https www patientbank us and chris from hashed health https hashedhealth com we wanted to answer the question who is working on blockchain related technologies for our industry overview methodology there s a lot of opportunity to use blockchain technologies in healthcare and there are a lot of myths too https blog andreacoravos com myth busting can a blockchain save healthcare d398cdebf0c1 we put together a first cut of this map and wanted to open it up to the community to share updates many of the companies on this list are early stage e g vaporware over time we hope to see more projects in production but few are ready yet landscape map hc landscape map v14 png have a better way of organizing the landscape did we miss a company submit a pull request you can fork the landscape map slide google slides https docs google com presentation d 1yj9d4w0hpsj8wccc3hqqgnmzmqcswexifofwxpvapvy edit usp sharing to add your company to the map please add your logo to the logos folder https github com acoravos healthcare blockchains tree master logos when making a pull request or else we will be unable to accept your request healthcare projects using blockchain technologies projects listed in alphabetical order to update this list submit a pull request project background 400 characters or less contact accenture https www accenture com us en insight perspectives health healthcare innovation accenture is a global professional services company that includes strategy consulting digital technology and operations services accenture partnered with microsoft and avanade to develop an identity prototype based on blockchain technology that could provide a digital identity for 1 1 billion people who don t have a formal id amchart https amchart io amchart is a patient driven ehr on a hybrid public private blockchain with ai for analytics and an incentive drive model for better outcomes the incentive drive model is based on maintenance of health records wellness program participation population health and data sharing with certified partners for analytics and proactive healthcare management amchart4all astri https www astri org the chinese government formed astri formally known as the hong kong applied science and technology research institute astri developed a health technology platform that aims to drive disruption in the traditional healthcare field with preventative health monitoring medical computing and diagnostics corporate astri org bitmark https bitmark com uc berkeley and bitmark partner to bring data donation to public health studies bitmark technology allows users to take ownership of their digital lives and help advance the frontiers of public health read this medium post https blog bitmark com uc berkeley and bitmark partner to bring data donation to public health studies 3e9a17891432 on the bitmark uc berkeley partnership support bitmark com block m d https www block md com block m d is the platform for health information exchange hie and electronic health records ehr on enterprise grade permissioned based blockchain technology this platform enables secure high data integrity interoperability across hospitals healthtech startups labs insurances regulators and definitely patients through well defined api and data standard the company is partnering with thai government for trial in 2018 hello smartcontractthailand com blockchain health https blockchainhealth co blockchain health is a software company that provides healthcare organizations with hipaa compliant blockchain solutions users can share health data with researchers using the integrated platform which creates a tamperproof chain of information custody info blockchainhealth co blockcypher https blockcypher com blockcypher provides blockchain agnostic web services and infrastructure instead of forcing everyone to use one blockchain blockcypher enables healthcare organizations and patients to leverage multiple blockchains and use the blockchain best suited for a particular use case for example blockcypher enables users to use the patientory network to manage medical information and pay for services or medication using the dash network blockcypher also provides a proof of patient identity across blockchains e g ethereum and dash blockchains karen blockcypher com blockpharma https www blockpharma com blockpharma is a french start up focused on solutions to trace drug sales online blockpharma developed an application programming interface that can plug into pharmaceutical companies information systems so when the companies release product information and qr codes the blockchain records subsequent transactions contact blockpharma com bloq http bloq com bloq produces enterprise grade blockchain technologies to organizations across industries the company s bloqenterprise software solution allows users to create test update and customize permissioned blockchains bloqthink provides the strategic architecting design development and education for bloqenterprise and bloqlabs provides space for blockchain research and testing hello bloq com bowhead health https bowheadhealth com the bowhead platform comprises of the bowhead device which monitors a customer s biometric data to dispense personalized supplements and medicine the patent pending anonymized health token allows customers and bowhead token holders to be compensated for the leasing of medical data and patients have full control of this by means of smart contracts we believe patient data is some of the most valuable data in the world the first health survey game is due during the third quarter of 2017 and bowhead hardware device trial for 200 people due in the second quarter of 2018 bron tech https bron tech bron tech uses blockchain powered by ethereum a decentralized platform for applications to create a decentralized infrastructure for data wallets the company distributes data storage and ensures integrity while also rewarding users with a native digital currency managed on the blockchain users contribute data in exchange for the company s digital currency cash or offers from business partners info bron tech burstiq http www burstiq com founded in 2015 burstiq s platform leverages blockchain and machine intelligence to bring together disparate data sources into a unified hipaa compliant data repository the platform is fully operational with multiple business customers in 2016 the platform processed 25 billion data points burstiq s healthwallet allows users to buy sell donate license or loan data the lifegraph platform brings together an individual s health data in one place and allows users to manage data through smart contracts burstchain is the company s big data blockchain platform for securely managing large complex health data sets carechain https www carechain io carechain is a european consortium to establish public permissioned infrastructure to manage health data owned and controlled by no one except the rightful owners the individuals info carechain io chronicled https www chronicled com chronicled launches pharma initiative blockchain startup chronicled and linklab have launched the mediledger project a joint venture aimed at exploring blockchain solutions for the pharma industry genentech a member of the roche group pfizer amerisourcebergen and mckesson have already signed on support chronicled com chemonics http www chemonics com pages home aspx chemonics is an international development consulting firm spanning 70 countries and industries in october 2016 chemonics and banqu partnered to establish the blockchain for development solutions lab to build test and scale blockchain solutions that aim to reduce poverty and increase the effectiveness of social programs coverus https www coverus io coverus is a social venture that leverages blockchain and other technologies to put people in control of their personal health data helping to close the financial gap in healthcare and promote greater efficiency in the health systems that are of vital importance to society chronicled https www chronicled com chronicled launches pharma initiative blockchain startup chronicled and linklab have launched the mediledger project a joint venture aimed at exploring blockchain solutions for the pharma industry genentech a member of the roche group pfizer amerisourcebergen and mckesson have already signed on support chronicled com curisium https www curisium com the curisium platform deploys blockchain and secure computation technologies to allow payers providers and life science companies to engage in patient centric value based contracts info curisium com deepmind health https deepmind com blog trust confidence verifiable data audit google s deepmind health is working on a blockchain like verifiable data audit https deepmind com blog trust confidence verifiable data audit to ensure auditability the ability to show and justify if logs are challenged deepmind sees verifiable data audit as a powerful complement to this scrutiny giving partner hospitals an additional real time and fully proven mechanism to check how deepmind is processing data doc ai https doc ai doc ai s robo genomics platform is a deep conversational agent designed to improve genetic data comprehension and provide decision support the agent can converse on disease traits pharmacogenomics and family planning doc ai s founder walter de brouwer was one of three parties that executed the first life insurance contract on the public blockchain with bitcoin in january 2017 info doc ai encrypgen https www encrypgen com encrypgen provides next generation software for genomic data empowering patients and donors facilitating health business and science in a safe environment drkoepsell encrypgen com factom https www factom com factom is a blockchain as a service technology company that received 8 million in series a funding in april 2017 in november 2016 the bill and melinda gates foundation awarded factom a grant to develop an infrastructure for medical records on the company s blockchain gem https gem co health gem is an enterprise blockchain company the gemos enterprise platform for healthcare allows all stakeholders secure access to shareable data with the right permissions the platform is in compliance with hipaa streamlining communication along the continuum of care gem entered into a partnership with philips in 2016 to explore how blockchain can support the patient centered approach to care at gem we re building towards a blockchain network for the global community of companies that take part in the continuum of healthcare blockchain technology addresses the trade off between personalized care and operational costs by connecting the ecosystem to universal infrastructure shared infrastructure allows us to create global standards without compromising privacy and security hello gem co guardtime https guardtime com guardtime s platform is designed for data and systems security at the industrial level the company partnered with the estonian ehealth foundation in february 2016 to accelerate the adoption of blockchain based transparency and auditable lifecycle management for patient records the partnership integrated ksi blockchain with existing oracle databases for increased security transparency auditability and governance for electronic systems and patient records hashed health https hashedhealth com hashed health is a blockchain development studio focused on building healthcare applications within a product focused collaborative ecosystem to empower its enterprise partners hashed health provides value added services such as product management product development business advisory education and technology support services for blockchain solutions and distributed networks based in nashville tennessee hashed health s healthcare experts focus on ensuring that business problems drive the appropriate technical solutions by convening existing networks with engaged developer communities actively exploring piloting and developing applications we are able to launch new more effective and novel solutions info hashedhealth com healthbase https www healtbase digital healthbase started as an emr software for dentists called smiledoc with the prinicpals of creating a strong user experience to outclass the current legacy softwares on the market the co founders realized that using blockchain would help bring this concept to a larger population they have currently branched out to the larger emr market to capture with the goal of allowing a patient to hold their own medical date as they move to different healthprofessionals with a strong belief in userexperience and a backend that encorporates ipfs and the ethereum network healthbase is a project to watch carefully join our telegram https t me joinchat fsvr7g48r1utm ajn0jatw to join in on our conversation info healthbase digital health wizz https www healthwizz net health wizz is a wellness application platform that acquired healthcare blockchain company kreatelot in january 2017 the combined company is working on mercatus a platform allowing individuals to build their own digital health portfolio and grant access to medical researchers health data scientists pharmaceutical companies and others in one marketplace to advance precision medicine mercatus would allow users to write smart contracts on ethereum blockchain to trade health data for crypto currency healthcoin https www healthcoin com a consensys project healthcoin is the world s first blockchain enabled platform for diabetes prevention our mission is to allow employers insurers and governments across the globe to incentivize and manage their population s lifestyle change unlike the vast majority of rewards programs healthcoin is biomarker based we measure the actual blood lab indicators of disease rather than just correlates like steps or stress our blockchain uses these biomarkers to generate tokenized prevention certificates that any permissioned stakeholder can verify and reward by accumulating biomarkers on the blockchain we also create innovative data analytics patient owned health records with data viz population health management tools and a potentially vast longitudinal research trial info healthcoin com healthcombix http www healthcombix com healthcombix s platform is a token based healthcare payment and risk management network enabling payments data asset monetization and risk adjustment the platform preserves digital privacy while allowing for interoperable data exchange giving patients and providers control over the data the company believes blockchain technology will allow consumers to control the brokerage of their data for research precision health clinical trials payment and disease intervention disrupt healthcombix com health linkages http healthlinkages com health linkages is the data provenance company we use blockchain inspired technology to enable healthcare institutions to trust protect and comfortably share their data info healthlinkages com hearthy https hearthy co hearthy wants to create a decentralized open and sustainable ecosystem to improve health care access to everyone regardless of income hearthy s ecosystem will make healthcare more efficient agnostic to jurisdiction and patient centered hie of one https http hieofone org hie of one is a free software project developing tools for patients to manage their own health records 1 hie stands for health information exchange an electronic network for sharing health information across different organizations hospitals providers and patients this is one of a growing number of tools for encrypted data exchange within the health care sphere a proposal for using hie of one in conjunction with blockchain technology was reviewed by the us office of the national coordinator onc winning an award from the onc code integrating consensys uport is on their github agropper healthurl com hit foundation https hit foundation hit foundation offers an online marketplace for personal health data that allows users and patients to trace data usage and participate in its monetization it is the first ecosystem that allows everybody to get paid for health information instead of paying others to process or store it the distributed system supports the global execution of new or existing business cases for information seekers on top of the hit platform without the need for intermediaries info hit foundation hyperledger https www hyperledger org the hyperledger healthcare work group identifies opportunities for open source software development projects to host on hyperledger an operating system for marketplaces data sharing networks micro currencies and decentralized digital communities in may 2017 hyperledger hosted a hyderabad meetup to discuss the most beneficial blockchain applications in healthcare ibm blockchain https www ibm com blockchain ibm blockchain is the first managed service for hyperledger fabric enabling the creation of blockchain business networks that owners can control and distribute across different organizations in august 2016 ibm won the hhs office of the national coordinator of health information technology s blockchain health it ideation challenge with a paper describing the potential impact blockchain could have on resolving interoperability scalability and privacy challenges in healthcare iryo https iryo io iryo network is the world s first participatory healthcare ecosystem build on standardised zero knowledge electronic health record storage disrupting the landscape of traditional health it by promoting standardised health data archetypes redefining medical data ownership and securing from unauthorised access info iryo io luna https www lunadna com a genomic and medical research database powered by the blockchain luna is a community owned database that rewards individuals luna coins for contributing their dna and other medical information info lunadna com lympo https lympo io lympo io is a fitness wallet that will utilise the data users track on their smartphones and wearables to reward lym tokens for achieved fitness and mindfulness goals and build a healthy lifestyle ecosystem based on user controlled fitness data its players will range from health insurances and employers incentivizing healthy lifestyle to developers submitting new data applications ada lympo io medibloc https medibloc org medibloc is creating a decentralized healthcare information ecosystem on blockchain where medical records can be kept safely and securely transferred by their rightful owners the patients and not the hospitals medibloc is the first healthcare blockchain company that targets asia where phr disruption makes much more sense than the us or european phr market medicalchain https medicalchain com en medicalchain uses blockchain technology to store health records securely so physicians hospitals laboratories pharmacists and health insurers can request a patient s permission to access the record as well as record transactions on the distributed ledger medicalchain is set to launch in september 2017 contact medicalchain com medichain https medichain online medichain gives patients ownership of their own medical data medichain is a distributed ledger for patient s medical data it allows patients to store their own data in a secure way and gives access to specialists anywhere regardless of the payer network or emr electronic medical record used info medichain online medrec https www media mit edu research groups 1454 medrec graduate student researchers at massachusetts institute of technology in boston developed medrec a system for managing medical records using the ethereum a decentralized platform for applications medrec is designed for patients to control their medical data including clinical ehr records and data from personal health wearables like fitbit patients can securely allow healthcare providers researchers and family members to access their data medical researchers can also mine the data to sustain the blockchain authentication log and receive anonymous medical metadata in return microsoft https azure microsoft com en us solutions blockchain in june microsoft partnered with accenture to build a blockchain prototype for healthcare as well as other industries the blockchain will create a digital identity for 1 1 billion people around the world who don t have a formal identity including refugees the current model builds on accenture s blockchain and operates on microsoft azure s cloud platform minthealth https www minthealth io minthealth announced the launch of its self sovereign health record platform at the connected health conference in boston in october 2017 powered by blockchain technology the service allows patients to access their health records in real time through a mobile or web app and features a specialized digital currency as an incentive for preferred patient behaviors info minthealth io netki https netki com netki aims to support blockchain use with the open source open standards tools for digital identity the company removes risk and compliance barriers to blockchain projects in may 2017 netki launched a digital identity service to make blockchain safe for business finance and healthcare applications the digital id works across public and private blockchains to reduce risk associated with blockchain transactions neuromesh http www neuromesh co a vaccine for your iot neuromesh uses the bitcoin blockchain to protect expensive equipment like x rays and mri machines from attacks opal enigma https www trust mit edu projects published a paper on blockchain and health it algorithms privacy and data check out the whitepaper https www healthit gov sites default files 1 78 blockchainandhealthitalgorithmsprivacydata whitepaper pdf openmined https openmined org the openmined project is volunteer only open source project aiming to create the world s largest decentralized network of encrypted personal information in this world the user gets to own their information and store it themselves while data scientists and developers pay for anonymized access to this information the community has started to explore healthcare applications join the slack https openmined slack com for more details patientory https patientory com patientory was founded in 2016 through the boomtown health tech accelerator in boulder colo patientory collaborates with denver based colorado permanente medical group a member of oakland calif based kaiser permanente patientory allows users to create profiles on a mobile app to securely store manage and share medical information the solution is compatible with epic cerner allscripts and meditech among other ehr systems info patientory com peer ledger https peerledger com peer ledger provides an identity bridge product as an administrator portal to enable existing known ids to be tightly coupled with blockchain user ids and id management such as revocation delegation multiple factor authentication registering blacklisting of blockchain applications and the secure management of private keys the bridge also provides a user portal to sign with blockchain keys e g hyperledger bitcoin and ethereum keys and to create auxiliary workflows e g sign to consent or approve this product enables organizations to on board existing known users securely and conveniently on their corporate blockchain applications when those come into play later in 2018 2020 we have proven the product out in a collaboration with safe biopharma and zentry synchronoss via strongly linking verizon universal ids with blockchain ids sales peerledger com pointnurse https www pointnurse com founded in 2014 pointnurse is a virtual and on demand care platform that allows nurses to lead consumer focused care outside of the hospital and clinic setting the platform is a blockchain based digital community enabling licensed professionals to engage in secure and private conversations with patients in remote locations team pointnurse com pokitdok https pokitdok com pokitdok provides a secure software development platform for the business of health the company powers dokchain a distributed network of transaction processors operating on financial and clinical data across the healthcare industry integrated to pokitdok s clearinghouse and api platform with identity personal health records and crypto asset framework components as well as client frameworks for mobile and web as of march 2017 the company had raised 48 million to develop dokchain proofwork https www proof work leveraging blockchain immutable trust to form the world s first patient first healthcare ecosystem we create one single version of truth in healthcare always in sync practice management electronic health records medical research data exchange scalamed http www scalamed com scalamed believes in centering and empowering the consumer on their healthcare journey scalamed is building a scalable integrated and secure platform for managing healthcare transactions and data scalamed is beginning its healthcare revolution through providing a decentralized application for patients doctors and pharmacists to manage prescribe and dispense prescription medicines spiritus http www spirituspartners com spiritus offers cloud based assurance software for safe secure and compliant use of critical assets at the point of use and accountability overcome costly inefficient siloes and gain necessary transparency verifiability and auditability across an asset s service life through a blockchain enabled permissioned network rely on spiritus to be sure an asset s in good order from service providers and operators upstream to manufacturers and distributors and downstream to field service engineers mros and specialists in testing inspection certification and audit with support from the scottish government the company has undertaken a pilot with nhs scotland and a leading cybersecurity researcher at edinburgh napier university sramonat spirituspartners com simplyvital health https www simplyvitalhealth com intentionally simple care coordination platform backed by blockchain technology to create a tamper proof audit trail providers use our tool to support care coordination in bundle payments and to attain macra requirements letsdothis simplyvitalhealth com tierion https tierion com tierion s hashapi allows developers to anchor up to 100 records per second on the blockchain for free with time stamping and data security tierion was the first company to join philips blockchain lab to explore using blockchain in healthcare the company has also partnered with microsoft to build a service linking data to blockchain to prove the data s integrity and existence youbase https www youbase io youbase combines blockchain compatible technologies to deliver a secure and flexible container for independent data the company s solution allows individuals to maintain their data and identity across networks and share data as they chose youbase io is designed to decentralize sensitive consumer and personal information while compiling a single source of anonymous data info youbase io shivom http www shivom io shivom combines genome sequencing artificial intelligence cryptogrpahy and next gen distributed ledger technology aiming to build the world s largest genomics precision medicine ecosystem other healthcare companies can dock their solution apps service to the shivom ecosystem in addition building a genetic counseling network and not for profit r d organization info shivom io zenome platform https zenome io zenome is a blockchain based genomic ecosystem built on the interaction between three different types of information genomic personal and financial data where are the healthcare icos thankfully vincek39 https github com vincek39 has come to our rescue and he s created a google doc https docs google com spreadsheets d 1tanozmuytvhyn1c9pv6ylsoblqnoeobexb7u2 kkork edit gid 0 of the icos and token sales in the healthcare industry all 38 of them as of 12 1 18 | blockchain |
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OurMarks | ourmarks codecov https codecov io gh rami sabbagh ourmarks branch main graph badge svg token 5vytrpesue https codecov io gh rami sabbagh ourmarks codefactor https www codefactor io repository github rami sabbagh ourmarks badge main https www codefactor io repository github rami sabbagh ourmarks overview main checks https badgen net github checks rami sabbagh ourmarks https github com rami sabbagh ourmarks actions license https badgen net npm license ourmarks https github com rami sabbagh ourmarks blob main license npm https badgen net npm v ourmarks ourmarks npm minzipped size https badgen net bundlephobia minzip ourmarks https bundlephobia com package ourmarks tree shaking https badgen net bundlephobia tree shaking ourmarks ourmarks bundlephobia twitter https badgen net twitter follow rami sab07 https twitter com rami sab07 a module for extracting exams marks from official pdfs for the faculty of information technology engineering at damascus university a marks document parsed using the module and viewed using google sheets https github com rami sabbagh ourmarks raw f4e6353c17316638af21de1c0802c5700a42be67 images overview png introduction students exams marks at the faculty of information technology engineering at damascus university are published as pdf documents of excel tables the pdf documents doesn t allow the exams marks to be used in excel sheets and other programs because they re only made to be displayed that s why the ourmarks module was created the module extracts the marks records from the pdf documents into structured data items that can be exported as csv tables and used for any computational purposes this opens the opportunity for building a structured database of the student s marks creating applications for displaying the marks doing statistical data analysis on the marks building profiles for students and much more features top level api made simple for direct usage written in typescript and so type definitions and ide auto complete through vs code and other ides are available well documented and available on npm ourmarks npm supports node js and the browser introduces no side effects example node js typescript ts import as fs from fs import as path from path import getdocument from pdfjs dist legacy build pdf import extractmarksfromdocument from ourmarks read the document s data const target document path resolve dirname documents 1617010032 programming 3 2 f1 2021 pdf const documentdata fs readfilesync target document parse the marks async function main const document await getdocument documentdata promise const marksrecords await extractmarksfromdocument document document destroy console log marksrecords run the asynchronous function main catch console error getting started installation bash npm install ourmarks pdfjs dist or bash yarn add ourmarks pdfjs dist basic usage the module provides 2 top level asynchronous functions for extracting marks from pdf documents it s expected to have the document loaded using pdf js first which is very simple ts import getdocument from pdfjs dist inside your main asynchronous function async function main const document await getdocument rawpdfbinarydata promise don t forget to destroy the document inorder to free the resources allocated document destroy run the asynchronous function main catch console error on node js you have to import pdfjs dist legacy build pdf instead due to compatibility reasons rawpdfbinarydata can be a node js buffer object a url to the document a uint8array and multiple other options as provided by pdf js then the whole document can be processed at once using extractmarksfromdocument ts import extractmarksfromdocument from ourmarks inside the main function defined earlier const marksrecords await extractmarksfromdocument document or it can be processed page by page using extractmarksfrompage ts import extractmarksfrompage markrecord from ourmarks const wholerecords markrecord inside the main function defined earlier for let i 1 i document numpages i const page await document getpage i const pagerecords await extractmarksfrompage page wholerecords push pagerecords api documentation in addition to the top level extractmarksfromdocument and extractmarksfrompage functions there are a bunch of other lower level functions for advanced users it s completely unnecessary to use them but if you want to play around with how the module internally works you can check the api documentation apidocs and read the how it works section below how it works the marks extractor works through a list of 7 steps step 01 load the document for parsing the pdf document is loaded using the pdf js library so it can be parsed once the document has been loaded it s possible to load each of its pages step 02 load each page in the document each page in the document is loaded once a page is loaded it s possible to read its content for processing step 03 get the text items of each page for each page a list of all the text items in it is created each text item has the following data structure field name type description string string the content of the item direction ttb ltr rtl the direction of the item s content width number the width of the item in document units height number the height of the item in document units tranform number the 3x3 transformation matrix of the item with only 6 values stored tranform 0 number the 0 0 value in the item s tranformation matrix represents scale x tranform 1 number the 1 0 value in the item s tranformation matrix represents skew tranform 2 number the 0 1 value in the item s tranformation matrix represents skew tranform 3 number the 1 1 value in the item s tranformation matrix represents scale y tranform 4 number the 0 2 value in the item s tranformation matrix represents translate x tranform 5 number the 1 2 value in the item s tranformation matrix represents translate y step 04 filter and simplify the text items with the text items stored in a list the loaded pdf document can be discarded safely as it s no longer needed the items list is filtered from items with ttb direction we re only intereseted in english and arabic items item with non zero tranform 1 and tranform 2 we re not interested in any items with any rotation skewing items with empty content items with zero transform 4 or tranform 5 as they are invisible invalid then each item is mapped into a more simplified data structure each item is determined as arabic if it has rtl direction field name type description value string the content of the simplified item arabic true false whether the item contains any arabic characters or not x number the x coordinates of the item equal to tranform 4 y number the y coordinates of the item equal to tranform 5 width number the width of the item height number the height of the item step 05 merge close text items the original arabic items https github com rami sabbagh ourmarks raw f4e6353c17316638af21de1c0802c5700a42be67 images items highlighted png update at 2022 09 21 the new versions of pdf js no longer produce this issue as of ourmarks 3 0 0 this step has been disabled by default but still available behind an option it was found that arabic content is stored as independent text items of each character and so the characters has to be merged back into proper items the arabic items after merging https github com rami sabbagh ourmarks raw f4e6353c17316638af21de1c0802c5700a42be67 images items merged png a simple algorithm was created to solve that here s an overview please note that the coordinates in the pdf documents are bottom left corner based 1 sort the list of items in ascending order first by their y coordinates then by their x coordinates 2 for each range in the list with the same y coordinates do iterate over the row s items in left to right order 1 check if the current item should be merged with the previous one they should match in height neither of the items should be protected an item is considered protected if it s a number of 5 digits a student id define errortolerance currentitem height 10 the condition currentitem x previousitem x previousitem width errortolerance should be met 2 if the items should be merged do that by concatenating their content in the correct direction setting the merged item to be arabic if any of the items were arabic calculating the new width of the item using currentitem x currentitem width previousitem x please note that the previous item is the item on the left and the next item is the item on the right that s because how the items list was sorted step 06 shape the items into a table structure the text items can be now shaped into a table structure which is a 2 dimensional list of the items the first dimension is for the rows and the second dimension is for the cells 1 sort the list of items in descending order first by their y coordinates then by their x coordinates items should be considiered they have the same y coordinates if their y projections do intersect itema y itemb y itema y itemb y itemb height or itemb y itema y itemb y itema y itema height 2 each range in the list with the same y coordinates do is a row with the items considered as cells being sorted from left to right step 07 extract marks records from the table now the simplified text items has been stored in a table structure it s possible to iterate over its rows and extract marks records mark records have the following data structure field name type description studentid number the exam id of the student a 5 digits number studentname string null the full name of the student may contain his father s name in some situations studentfathername string null the name of the student s father when not included in the full name practicalmark number null the practical mark of the exam usually out of 20 or 30 theoreticalmark number null the theoretical mark of the exam usually out of 80 or 70 exammark number null the total mark of the exam should be out of 100 all the fields except the studentid can be null because they might be missing from the table or malformed with other values the marks records are extracted using the following algorithm for each row in the table that starts with a 5 digits number 1 the studentid is that item 2 create a list for storing marks 3 iterate over the rest of items in the row 1 skip items with length over 255 characters 2 the item is considered a mark if it s a number of 1 to 3 digits and not detected as arabic 3 if the item is arabic and the marks list is empty if studentname is null then set it to the item if studentfathername is null then set it to the item 4 if the item is considered a mark and the marks list has less than 3 items then push the item to the list 4 if there s 1 item in the marks list then give it to exammark 5 else if there s 3 items in the marks list then give them to practicalmark theoreticalmark and exammark in this order pdf js https mozilla github io pdf js node js https nodejs org en apidocs https rami sabbagh github io ourmarks ourmarks npm https www npmjs com package ourmarks ourmarks bundlephobia https bundlephobia com package ourmarks | fite damascus university pdf npm-module typescript typescript-library marks exams | server |
regen-ledger | div align center style font size 20px img alt issues src docs vuepress public regen ledger png h3 i a distributed ledger for ecological assets and data claims i h3 div br div align center a href https github com regen network regen ledger blob main license img alt license src https img shields io badge license apache 202 0 blue a a href https github com regen network regen ledger releases latest img alt version src https img shields io github tag regen network regen ledger a a href https pkg go dev github com regen network regen ledger v5 img alt go doc src https pkg go dev badge github com regen network regen ledger v5 a div br div align center a href https github com regen network regen ledger commits actions workflows build yml img alt build status src https github com regen network regen ledger workflows build badge svg a a href https github com regen network regen ledger commits actions workflows tests yml img alt test status src https github com regen network regen 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20nightly badge svg a div br div align center a href https github com regen network regen ledger issues img alt issues src https img shields io github issues regen network regen ledger color blue a a href https github com regen network regen ledger issues q is 3aissue is 3aopen label 3a 22good first issue 22 img alt good first issues src https img shields io github issues regen network regen ledger good 20first 20issue color blue a a href https github com regen network regen ledger discussions img alt discussions src https img shields io github discussions regen network regen ledger color blue a a href https discord gg regen network img alt discord src https img shields io discord 684494798358315010 color blue a div br div align center a href https goreportcard com report github com regen network regen ledger img alt go report src https goreportcard com badge github com regen network regen ledger a a href https codecov io gh regen network regen ledger img alt code coverage src https codecov io gh regen network regen ledger branch main graph badge svg a div br introduction regen ledger is a blockchain application for ecological assets and data claims built on top of cosmos sdk http github com cosmos cosmos sdk and tendermint core http github com tendermint tendermint leveraging these tools regen ledger provides the infrastructure for a proof of stake blockchain network governed by a community dedicated to planetary regeneration features specific to regen ledger are developed within this repository as custom modules that are then wired up to the main application the custom modules developed within regen ledger follow the same architecture and pattern as modules developed within cosmos sdk and other cosmos sdk applications the core features that regen ledger aims to provide include the following infrastructure for managing the issuance and retirement of ecosystem service credits a database of ecological state and change of state claims that spans both on and off chain data sources mechanisms for automating the assessment of ecological state making payments and issuing assets regen ledger is under heavy development and as result the above features are implemented to varying degrees of completeness for more information about our approach and vision see regen ledger specification specs regen ledger md documentation documentation for regen ledger is hosted at docs regen network https docs regen network this includes installation instructions for users and developers information about live networks running regen ledger instructions on how to interact with local and live networks infrastructure and module specific documentation tutorials for users and developers migration guides for developers upgrade guides for validators a complete list of available commands and more contributing contributions are more than welcome and greatly appreciated all the information you need to get started should be available in contributing guidelines contributing md please take the time to read through the contributing guidelines before opening an issue or pull request the following prerequisites and commands cover the basics prerequisites git https git scm com 2 make https www gnu org software make 4 go https golang org 1 19 go tools install go tools make tools git hooks configure git hooks git config core hookspath scripts githooks lint and format run linter in all go modules make lint run linter and attempt to fix errors in all go modules make lint fix run formatting in all go modules make format run linter for all proto files make proto lint run linter and attempt to fix errors for all proto files make proto lint fix run formatting for all proto files make proto format running tests run all unit and integrations tests make test manual testing build the regen binary make build view the available commands build regen help related repositories regen network governance https github com regen network governance guidelines and long form proposals for regen mainnet regen network mainnet https github com regen network mainnet additional information and historical record for regen mainnet regen network testnets https github com regen network testnets additional information and historical record for regen testnets regen network regen js https github com regen network regen js a javascript client library for interacting with regen ledger regen network regen web https github com regen network regen web user interfaces for regen network and regen registry sleeping in the forest i thought the earth remembered me she took me back so tenderly arranging her dark skirts her pockets full of lichens and seeds i slept as never before a stone on the river bed nothing between me and the white fire of the stars but my thoughts and they floated light as moths among the branches of the perfect trees all night i heard the small kingdoms breathing around me the insects and the birds who do their work in the darkness all night i rose and fell as if in water grappling with a luminous doom by morning i had vanished at least a dozen times into something better mary oliver | blockchain cosmos-sdk tendermint carbon biodiversity origination marketplace climate-tech credit | blockchain |
Kotlin-SCP | layout home nav order 0 introduction kotlin guide mobile application secure coding practices is a guide written for anyone using kotlin 1 for mobile development this guide is a collaborative effort started by checkmarx security research team 2 open sourced for community contributions its structure covers the owasp mobile top 10 2016 3 intended to help developers avoid common mistakes kotlin is a statically typed programming language for modern multiplatform applications 100 interoperable with java and android primarily developed by the team at jetbrains 4 it is now fully supported by google as an alternative to the android standard java compiler why this guide since may 7th 2019 kotlin is google s preferred language for android app development so it is important for developers to familiarize with this new language checkmarx research team helps educate developers security teams and the industry overall about common coding errors and brings awareness of vulnerabilities that are often introduced during the software development process the audience for this guide the primary audience of this guide is android developers this guide can still be used by penetration testers to learn how to identify well known vulnerabilities on kotlin applications what you will learn the authors of this guide mapped the owasp mobile top 10 security weaknesses to kotlin on a weakness by weakness basis while providing examples recommendations and fixes to help developers avoid common mistakes and pitfalls after reading this guide and referring to it often you will learn how to ensure you are developing secure mobile apps using kotlin about checkmarx checkmarx 2 is the global leader in software security solutions for modern enterprise software development checkmarx delivers the industry s most comprehensive software security platform that unifies with devops and provides static and interactive application security testing software composition analysis and developer appsec awareness and training programs to reduce and remediate risk from software vulnerabilities checkmarx is trusted by more than 40 percent of the fortune 100 and half of the fortune 50 including leading organizations such as sap samsung and salesforce com learn more at www checkmarx com 2 about owasp mobile security project the owasp mobile security practices 7 is a centralized resource intended to give developers and security teams the resources they need to build and maintain secure mobile applications the mobile top 10 2016 3 is the last edition of the top 10 most common mobile security weaknesses owasp 10 itself is an open community dedicated to enabling organizations to conceive develop acquire operate and maintain applications that can be trusted all of the owasp tools documents forums and chapters are free and open to anyone interested in improving application security how to contribute to learn how to contribute please refer to how to contribute section 8 license this document is released under the creative commons attribution sharealike 4 0 international license cc by sa 4 0 for any reuse or distribution you must make clear to others the license terms of this work https creativecommons org licenses by sa 4 0 9 online https checkmarx gitbooks io kotlin scp content pdf dist kotlin secure coding practices pdf mobi dist kotlin secure coding practices mobi epub dist kotlin secure coding practices epub 1 https kotlinlang org 2 https www checkmarx com utm source c referral utm medium c github utm campaign c kotlin scp utm source referral utm medium github utm campaign kotlin scp 3 https www owasp org index php mobile top 10 2016 top 10 4 https www jetbrains com 6 https www twitter com checkmarx 7 https www owasp org index php owasp mobile security project 8 contributing md 9 https creativecommons org licenses by sa 4 0 10 https www owasp org | front_end |
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Bank-Database-datacamp-project | designing a bank marketing database project description this is a design of a bank marketing database a project that was a part of datacamp data engineering learning path in this project we leverage data engineering skills to clean and structure data for designing a postgresql database to store information about marketing campaigns conducted by a bank the goal is to create an efficient database that s expandable for future campaigns project requirements personal loans are a major revenue source for banks generating substantial interest our task is to clean and store data from a recent marketing campaign promoting personal loans the data will be organized in a postgresql database with the schema designed for future campaign data database tables client table column data type description id serial client id primary key age integer client s age in years job text client s job marital text marital status education text education level credit default boolean defaulted on credit housing boolean has housing loan loan boolean has personal loan campaign table column data type description campaign id serial campaign id primary key client id serial client id foreign key number contacts integer number of contact attempts contact duration integer last contact duration pdays integer days since contact in previous campaign previous campaign contacts integer contact attempts in previous campaign previous outcome boolean outcome of previous campaign campaign outcome boolean outcome of current campaign last contact date date last contact date economics table column data type description client id serial client id foreign key emp var rate float employment variation rate cons price idx float consumer price index euribor three months float euro interbank offered rate euribor number employed float number of employees instructions and steps 1 read bank marketing csv using pandas 2 split data into client campaign and economics dataframes 3 clean data and rename columns as per requirements 4 create datetime columns and remove redundant data 5 save cleaned dataframes as csvs client csv campaign csv and economics csv 6 use sql template to create table scripts for each table 7 share sql scripts with bank for database setup project code to see detailed implementation refer to the python notebook bank marketing database ipynb or bank marketing database py in this repository known issues or limitations currently there are no known issues or limitations with this project license this project is licensed under the mit license license | server |
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zero | p align center img src https raw githubusercontent com remoteinterview zero master docs images logo png width 50 h1 align center zero server h1 p align center zero configuration web framework p p p align center a href features features a a href installation installation a a href getting started getting started a a href examples examples a a href https zeroserver io docs docs a p p align center a href https discord gg n7y5nrs img alt join the community on discord width 120 src https raw githubusercontent com remoteinterview zero master docs images discord png a p zero is a web framework to simplify modern web development it allows you to build your application without worrying about package management or routing it s as simple as writing your code in a mix of node js docs nodejs readme md react docs react readme md html docs html readme md mdx docs mdx readme md vue docs vue readme md svelte docs svelte readme md python docs python readme md and static files docs static readme md and putting them all in a folder zero will serve them all zero abstracts the usual project configuration for routing bundling and transpiling to make it easier to get started an example project with different types of pages all in one folder a basic mono repo https raw githubusercontent com remoteinterview zero master docs images header gif a basic mono repo features auto configuration your project folder doesn t require config files you just place your code and it s automatically compiled bundled and served file system based routing if your code resides in api login js it s exposed at http server api login inspired by good ol php days auto dependency resolution if a file does require underscore it is automatically installed and resolved you can always create your own package json file to install a specific version of a package multiple languages zero is designed to support code written in many languages all under a single project imagine this 1 exposing your tensorflow model as a python api 2 using react pages to consume it 3 writing the user login code in node js 4 your landing pages in a mix of html or markdown mdx all under a single project folder as a single web application play on glitch you can play with zero without installing it locally click the button below remix button a href https glitch com edit remix zero starter img src https cdn glitch com 2bdfb3f8 05ef 4035 a06e 2043962a3a13 2fremix 402x png 1513093958726 alt remix this height 30 a installation you can install zero globally by sh npm install g zero getting started let s start by making a website that tells us server time first we need to create an api endpoint in node js to tell us time in json create a new folder and add a new file time js in that folder in this file export a function that accepts request and response objects like express https expressjs com en 4x api html res js time js const moment require moment module exports req res var time moment format lt 11 51 am res send time time once saved you can cd into that folder and start the server like this sh zero running this command will automatically install any dependencies like momentjs here and start the web server open this url in the browser http localhost 3000 time http localhost 3000 time you just created an api endpoint time api docs images timeapi png raw true time api keep the server running now let s consume our api from a react page create a new file index jsx and add the following code jsx index jsx import react from react export default class extends react component static async getinitialprops var json await fetch time then resp resp json return time json time render return p current time is this props time p this is a standard react component with one additional hook for initial data population getinitialprops is an async static method which is called by zero when the page loads this method can return a plain object which populates props now go to this url http localhost 3000 and you should see the current server time rendered by react while fetch ing an api endpoint you created earlier time in react docs images timejsx png raw true time in react zero automatically bundles your code and supports server side rendering you don t need to fiddle with webpack anymore that s it you just created a web application supported languages node js docs nodejs readme md javascript typescript react docs react readme md javascript typescript html docs html readme md markdown mdx docs mdx readme md vue docs vue readme md svelte docs svelte readme md python docs python readme md auto dependency resolution if a file does require underscore the latest version of that package is automatically installed from npm and resolved but sometimes you want to use a specific version or a dependency from a private repository you can do that by creating a package json in your project folder and adding dependencies to it zero will install those versions instead example package json json name myapp dependencies underscore 1 4 0 private ui pkg git https github com user repo git contributing please see our contributing md contributing md license zero is apache 2 0 licensed license md | zero react ssr nodejs javascript hmr typescript vuejs vue | front_end |
ecutools | ecu tools iot automotive tuning diagnostics analytics what if you could turn off that annoying check engine light what if your car could automatically install firmware updates to fix manufacturer defects or allow your mechanic to remotely diagnose problems what if you could get a text message when your spouse is 2000 miles overdue for an oil change or your teenager is going over 100mph in the family station wagon what if your alarm clock could start your car on those ice cold winter mornings what if your performance tuner could tune your ecu while you re sitting in the pits and he s sitting on his couch what if you could replace the outdated overpriced closed source data logger on your race car with something that s much more powerful and costs less race into the future of connected cars and the internet of things iot with ecu tools the solution to archaic overpriced proprietary automotive technology capabilities posix alternative to commercial j2534 standard ecu reprogramming j2534 1 pass thru oem diagnostics obdii diagnostics data logging bus monitoring security research features amazon web services integration api gateway iot platform for endless automation possibilities real time cloud based tuning diagnostics analytics unrestricted access to vehicle network own your automobile and your data log vehicle data to the cloud for real time and offline data processing trending and statistical analysis perform historical analysis using deep learning ai ml technologies integrate with other iot things build a custom web service to unlock your doors offer remote mechanic services the possibilities are endless build install ecu tools is developed with the following platforms in mind 1 x86 http en wikipedia org wiki x86 2 x86 64 http en wikipedia org wiki x86 64 3 arm http en wikipedia org wiki arm architecture dependencies included in the ecutools source and are statically linked during build 1 mbedtls https tls mbed org 2 aws iot device sdk embedded c https github com aws aws iot device sdk embedded c dynamic libraries not included 1 jansson http www digip org jansson 2 libcurl https curl haxx se libcurl to install autogen sh configure make mbedtls make sudo make install development change the hard coded device account id in makefile am install thing and clean thing targets autogen sh configure make devenv got skills clone the repo and join the slack channel to help create the future of open source connected cars | j2534 diagnostics ecu iot car iot-automotive-tuning race tune analytics connected-cars | server |
llm-space-web | llm space large language models space demo recording docs images screen recording gif an enterprise level web ui for large language models installation 1 add a env file to the root of the project with the following content conf openai api key sk xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx note you can get your own api key from openai https platform openai com account api keys 2 important copy packages config example yaml to packages config yaml and edit it as your needs bash cp packages config example yaml packages config yaml 3 install dependencies bash npm install 4 start server run in production mode bash npm run build npm start or run in development mode bash npm run dev | ai |
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CHP03-Unity-step-by-step | chp03 unity step by step unity in embedded system design and robotics a step by step guide | os |
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FreeRTOS-Shell | freertos shell unix bash style shell for freertos providing command line interface cli for microcontrollers the essential idea of this project is to create pusudo filesystem for freertos s tasks to easily manage tasks in runtime each freertos tasks stored in the filesystem are given inodes and running tasks are given tid task id similar to pid process id in unix the user can manage tasks using inode and tid note taht the root of pusudo filesystem is stored in ram not flash or other external storage devices since many embedded system using microcontroller are not capable of writing flash while running or running codes from external storage todos 1 implement ctrl c and ctrl z for shell 1 redirecting stdio to io devices such as usart lcd and sd card 2 create memory block and memory allocation system for the root to manage ram strictly 3 moving to cmake project management 4 make assert for switching debugging option 5 add user command fg and bg for shell | os |
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NoteMe | noteme mobile application development lab 1 and 2 | java android android-studio note-taking notes | front_end |
blockchain-wallet-sdk | blockchain wallet sdk | blockchain wallet sdk node blockchain-wallet | blockchain |
hardened_malloc | hardened malloc introduction introduction dependencies dependencies testing testing individual applications individual applications automated test framework automated test framework compatibility compatibility os integration os integration android based operating systems android based operating systems traditional linux based operating systems traditional linux based operating systems configuration configuration core design core design security properties security properties randomness randomness size classes size classes scalability scalability small slab allocations small slab allocations thread caching or lack thereof thread caching or lack thereof large allocations large allocations memory tagging memory tagging api extensions api extensions stats stats system calls system calls introduction this is a security focused general purpose memory allocator providing the malloc api along with various extensions it provides substantial hardening against heap corruption vulnerabilities the security focused design also leads to much less metadata overhead and memory waste from fragmentation than a more traditional allocator design it aims to provide decent overall performance with a focus on long term performance and memory usage rather than allocator micro benchmarks it offers scalability via a configurable number of entirely independent arenas with the internal locking within arenas further divided up per size class this project currently supports bionic android musl and glibc it may support other non linux operating systems in the future for android there s custom integration and other hardening features which is also planned for musl in the future the glibc support will be limited to replacing the malloc implementation because musl is a much more robust and cleaner base to build on and can cover the same use cases this allocator is intended as a successor to a previous implementation based on extending openbsd malloc with various additional security features it s still heavily based on the openbsd malloc design albeit not on the existing code other than reusing the hash table implementation the main differences in the design are that it s solely focused on hardening rather than finding bugs uses finer grained size classes along with slab sizes going beyond 4k to reduce internal fragmentation doesn t rely on the kernel having fine grained mmap randomization and only targets 64 bit to make aggressive use of the large address space there are lots of smaller differences in the implementation approach it incorporates the previous extensions made to openbsd malloc including adding padding to allocations for canaries distinct from the current openbsd malloc canaries write after free detection tied to the existing clearing on free queues alongside the existing randomized arrays for quarantining allocations and proper double free detection for quarantined allocations the per size class memory regions with their own random bases were loosely inspired by the size and type based partitioning in partitionalloc the planned changes to openbsd malloc ended up being too extensive and invasive so this project was started as a fresh implementation better able to accomplish the goals for 32 bit a port of openbsd malloc with small extensions can be used instead as this allocator fundamentally doesn t support that environment dependencies debian stable currently debian 12 determines the most ancient set of supported dependencies glibc 2 36 linux 6 1 clang 14 0 6 or gcc 12 2 0 for android the linux gki 5 10 5 15 and 6 1 branches are supported however using more recent releases is highly recommended older versions of the dependencies may be compatible at the moment but are not tested and will explicitly not be supported for external malloc replacement with musl musl 1 1 20 is required however there will be custom integration offering better performance in the future along with other hardening for the c standard library implementation for android only the current generation actively developed maintenance branch of the android open source project will be supported which currently means android13 qpr2 release testing individual applications the preload sh script can be used for testing with dynamically linked executables using glibc or musl preload sh krita new image rgba u8 500 500 it can be necessary to substantially increase the vm max map count sysctl to accommodate the large number of mappings caused by guard slabs and large allocation guard regions the number of mappings can also be drastically reduced via a significant increase to config guard slabs interval but the feature has a low performance and memory usage cost so that isn t recommended it can offer slightly better performance when integrated into the c standard library and there are other opportunities for similar hardening within c standard library and dynamic linker implementations for example a library region can be implemented to offer similar isolation for dynamic libraries as this allocator offers across different size classes the intention is that this will be offered as part of hardened variants of the bionic and musl c standard libraries automated test framework a collection of simple automated tests are provided and can be run with the make command as follows make test compatibility openssh 8 1 or higher is required to allow the mprotect prot read prot write system calls in the seccomp bpf filter rather than killing the process os integration android based operating systems on grapheneos hardened malloc is integrated into the standard c library as the standard malloc implementation other android based operating systems can reuse the integration code https github com grapheneos platform bionic commit 20160b81611d6f2acd9ab59241bebeac7cf1d71c to provide it if desired jemalloc can be left as a runtime configuration option by only conditionally using hardened malloc to give users the choice between performance and security however this reduces security for threat models where persistent state is untrusted i e verified boot and attestation see the attestation sister project https attestation app about make sure to raise vm max map count substantially too to accommodate the very large number of guard pages created by hardened malloc this can be done in init rc system core rootdir init rc near the other virtual memory configuration write proc sys vm max map count 1048576 this is unnecessary if you set config guard slabs interval to a very large value in the build configuration traditional linux based operating systems on traditional linux based operating systems hardened malloc can either be integrated into the libc implementation as a replacement for the standard malloc implementation or loaded as a dynamic library rather than rebuilding each executable to be linked against it it can be added as a preloaded library to etc ld so preload for example with libhardened malloc so installed to usr local lib libhardened malloc so add that full path as a line to the etc ld so preload configuration file usr local lib libhardened malloc so the format of this configuration file is a whitespace separated list so it s good practice to put each library on a separate line using the ld preload environment variable to load it on a case by case basis will not work when at secure is set such as with setuid binaries it s also generally not a recommended approach for production usage the recommendation is to enable it globally and make exceptions for performance critical cases by running the application in a container namespace without it enabled make sure to raise vm max map count substantially too to accommodate the very large number of guard pages created by hardened malloc as an example in etc sysctl d hardened malloc conf vm max map count 1048576 this is unnecessary if you set config guard slabs interval to a very large value in the build configuration on arm64 make sure your kernel is configured to use 4k pages since we haven t yet added support for 16k and 64k pages the kernel also has to be configured to use 4 level page tables for the full 48 bit address space instead of only having a 39 bit address space for the default hardened malloc configuration it s possible to reduce the class region size substantially to make a 39 bit address space workable but the defaults won t work configuration you can set some configuration options at compile time via arguments to the make command as follows make config example false configuration options are provided when there are significant compromises between portability performance memory usage or security the core design choices are not configurable and the allocator remains very security focused even with all the optional features disabled the configuration system supports a configuration template system with two standard presets the default configuration config default mk and a light configuration config light mk packagers are strongly encouraged to ship both the standard default and light configuration you can choose the configuration to build using make variant light where make variant default is the same as make non default configuration templates will build a library with the suffix variant such as libhardened malloc light so and will use an out variant directory instead of out for the build the default configuration template has all normal optional security features enabled just not the niche config seal metadata and is quite aggressive in terms of sacrificing performance and memory usage for security the light configuration template disables the slab quarantines write after free check slot randomization and raises the guard slab interval from 1 to 8 but leaves zero on free and slab canaries enabled the light configuration has solid performance and memory usage while still being far more secure than mainstream allocators with much better security properties disabling zero on free would gain more performance but doesn t make much difference for small allocations without also disabling slab canaries slab canaries slightly raise memory use and slightly slow down performance but are quite important to mitigate small overflows and c string overflows disabling slab canaries is not recommended in most cases since it would no longer be a strict upgrade over traditional allocators with headers on allocations and basic consistency checks for them for reduced memory usage at the expense of performance this will also reduce the size of the empty slab caches and quarantines saving a lot of memory since those are currently based on the size of the largest size class make n arena 1 config extended size classes false the following boolean configuration options are available config werror true default or false to control whether compiler warnings are treated as errors this is highly recommended but it can be disabled to avoid patching the makefile if a compiler version not tested by the project is being used and has warnings investigating these warnings is still recommended and the intention is to always be free of any warnings config native true default or false to control whether the code is optimized for the detected cpu on the host if this is disabled setting up a custom march higher than the baseline architecture is highly recommended due to substantial performance benefits for this code config cxx allocator true default or false to control whether the c allocator is replaced for slightly improved performance and detection of mismatched sizes for sized deallocation often type confusion bugs this will result in linking against the c standard library config zero on free true default or false to control whether small allocations are zeroed on free to mitigate use after free and uninitialized use vulnerabilities along with purging lots of potentially sensitive data from the process as soon as possible this has a performance cost scaling to the size of the allocation which is usually acceptable this is not relevant to large allocations because the pages are given back to the kernel config write after free check true default or false to control sanity checking that new small allocations contain zeroed memory this can detect writes caused by a write after free vulnerability and mixes well with the features for making memory reuse randomized delayed this has a performance cost scaling to the size of the allocation which is usually acceptable this is not relevant to large allocations because they re always a fresh memory mapping from the kernel config slot randomize true default or false to randomize selection of free slots within slabs this has a measurable performance cost and isn t one of the important security features but the cost has been deemed more than acceptable to be enabled by default config slab canary true default or false to enable support for adding 8 byte canaries to the end of memory allocations the primary purpose of the canaries is to render small fixed size buffer overflows harmless by absorbing them the first byte of the canary is always zero containing overflows caused by a missing c string nul terminator the other 7 bytes are a per slab random value on free integrity of the canary is checked to detect attacks like linear overflows or other forms of heap corruption caused by imprecise exploit primitives however checking on free will often be too late to prevent exploitation so it s not the main purpose of the canaries config seal metadata true or false default to control whether memory protection keys are used to disable access to all writable allocator state outside of the memory allocator code it s currently disabled by default due to a significant performance cost for this use case on current generation hardware which may become drastically lower in the future whether or not this feature is enabled the metadata is all contained within an isolated memory region with high entropy random guard regions around it the following integer configuration options are available config slab quarantine random length 1 default to control the number of slots in the random array used to randomize reuse for small memory allocations this sets the length for the largest size class either 16kib or 128kib based on config extended size classes and the quarantine length for smaller size classes is scaled to match the total memory of the quarantined allocations 1 becomes 1024 for 16 byte allocations with 16kib as the largest size class or 8192 with 128kib as the largest config slab quarantine queue length 1 default to control the number of slots in the queue used to delay reuse for small memory allocations this sets the length for the largest size class either 16kib or 128kib based on config extended size classes and the quarantine length for smaller size classes is scaled to match the total memory of the quarantined allocations 1 becomes 1024 for 16 byte allocations with 16kib as the largest size class or 8192 with 128kib as the largest config guard slabs interval 1 default to control the number of slabs before a slab is skipped and left as an unused memory protected guard slab the default of 1 leaves a guard slab between every slab this feature does not have a direct performance cost but it makes the address space usage sparser which can indirectly hurt performance the kernel also needs to track a lot more memory mappings which uses a bit of extra memory and slows down memory mapping and memory protection changes in the process the kernel uses o log n algorithms for this and system calls are already fairly slow anyway so having many extra mappings doesn t usually add up to a significant cost config guard size divisor 2 default to control the maximum size of the guard regions placed on both sides of large memory allocations relative to the usable size of the memory allocation config region quarantine random length 256 default to control the number of slots in the random array used to randomize region reuse for large memory allocations config region quarantine queue length 1024 default to control the number of slots in the queue used to delay region reuse for large memory allocations config region quarantine skip threshold 33554432 default to control the size threshold where large allocations will not be quarantined config free slabs quarantine random length 32 default to control the number of slots in the random array used to randomize free slab reuse config class region size 34359738368 default to control the size of the size class regions config n arena 4 default to control the number of arenas config stats false default to control whether stats on allocation deallocation count and active allocations are tracked see the section on stats stats for more details config extended size classes true default to control whether small size class go up to 128kib instead of the minimum requirement for avoiding memory waste of 16kib the option to extend it even further will be offered in the future when better support for larger slab allocations is added see the section on size classes size classes below for details config large size classes true default to control whether large allocations use the slab allocation size class scheme instead of page size granularity see the section on size classes size classes below for details there will be more control over enabled features in the future along with control over fairly arbitrarily chosen values like the size of empty slab caches making them smaller improves security and reduces memory usage while larger caches can substantially improves performance core design the core design of the allocator is very simple minimalist the allocator is exclusive to 64 bit platforms in order to take full advantage of the abundant address space without being constrained by needing to keep the design compatible with 32 bit the mutable allocator state is entirely located within a dedicated metadata region and the allocator is designed around this approach for both small slab allocations and large allocations this provides reliable deterministic protections against invalid free including double frees and protects metadata from attackers traditional allocator exploitation techniques do not work with the hardened malloc implementation small allocations are always located in a large memory region reserved for slab allocations on free it can be determined that an allocation is one of the small size classes from the address range if arenas are enabled the arena is also determined from the address range as each arena has a dedicated sub region in the slab allocation region arenas provide totally independent slab allocators with their own allocator state and no coordination between them once the base region is determined simply the slab allocation region as a whole without any arenas enabled the size class is determined from the address range too since it s divided up into a sub region for each size class there s a top level slab allocation region divided up into arenas with each of those divided up into size class regions the size class regions each have a random base within a large guard region once the size class is determined the slab size is known and the index of the slab is calculated and used to obtain the slab metadata for the slab from the slab metadata array finally the index of the slot within the slab provides the index of the bit tracking the slot in the bitmap every slab allocation slot has a dedicated bit in a bitmap tracking whether it s free along with a separate bitmap for tracking allocations in the quarantine the slab metadata entries in the array have intrusive lists threaded through them to track partial slabs partially filled and these are the first choice for allocation empty slabs limited amount of cached free memory and free slabs purged memory protected large allocations are tracked via a global hash table mapping their address to their size and random guard size they re simply memory mappings and get mapped on allocation and then unmapped on free large allocations are the only dynamic memory mappings made by the allocator since the address space for allocator state including both small large allocation metadata and slab allocations is statically reserved this allocator is aimed at production usage not aiding with finding and fixing memory corruption bugs for software development it does find many latent bugs but won t include features like the option of generating and storing stack traces for each allocation to include the allocation site in related error messages the design choices are based around minimizing overhead and maximizing security which often leads to different decisions than a tool attempting to find bugs for example it uses zero based sanitization on free and doesn t minimize slack space from size class rounding between the end of an allocation and the canary guard region zero based filling has the least chance of uncovering latent bugs but also the best chance of mitigating vulnerabilities the canary feature is primarily meant to act as padding absorbing small overflows to render them harmless so slack space is helpful rather than harmful despite not detecting the corruption on free the canary needs detection on free in order to have any hope of stopping other kinds of issues like a sequential overflow which is why it s included it s assumed that an attacker can figure out the allocator is in use so the focus is explicitly not on detecting bugs that are impossible to exploit with it in use like an 8 byte overflow the design choices would be different if performance was a bit less important and if a core goal was finding latent bugs security properties fully out of line metadata state with protection from corruption address space for allocator state is entirely reserved during initialization and never reused for allocations or anything else state within global variables is entirely read only after initialization with pointers to the isolated allocator state so leaking the address of the library doesn t leak the address of writable state allocator state is located within a dedicated region with high entropy randomly sized guard regions around it protection via memory protection keys mpk on x86 64 disabled by default due to low benefit cost ratio on top of baseline protections future protection via mte on armv8 5 deterministic detection of any invalid free unallocated unaligned etc validation of the size passed for c 14 sized deallocation by delete even for code compiled with earlier standards detects type confusion if the size is different and by various containers using the allocator api directly isolated memory region for slab allocations top level isolated regions for each arena divided up into isolated inner regions for each size class high entropy random base for each size class region no deterministic low entropy offsets between allocations with different size classes metadata is completely outside the slab allocation region no references to metadata within the slab allocation region no deterministic low entropy offsets to metadata entire slab region starts out non readable and non writable slabs beyond the cache limit are purged and become non readable and non writable memory again placed into a queue for reuse in fifo order to maximize the time spent memory protected randomized array is used to add a random delay for reuse fine grained randomization within memory regions randomly sized guard regions for large allocations random slot selection within slabs randomized delayed free for small and large allocations along with slabs themselves in progress randomized choice of slabs in progress randomized allocation of slabs slab allocations are zeroed on free detection of write after free for slab allocations by verifying zero filling is intact at allocation time delayed free via a combination of fifo and randomization for slab allocations large allocations are purged and memory protected on free with the memory mapping kept reserved in a quarantine to detect use after free the quarantine is primarily based on a fifo ring buffer with the oldest mapping in the quarantine being unmapped to make room for the most recently freed mapping another layer of the quarantine swaps with a random slot in an array to randomize the number of large deallocations required to push mappings out of the quarantine memory in fresh allocations is consistently zeroed due to it either being fresh pages or zeroed on free after previous usage random canaries placed after each slab allocation to absorb and then later detect overflows underflows high entropy per slab random values leading byte is zeroed to contain c string overflows possible slab locations are skipped and remain memory protected leaving slab size class regions interspersed with guard pages zero size allocations are a dedicated size class with the entire region remaining non readable and non writable extension for retrieving the size of allocations with fallback to a sentinel for pointers not managed by the allocator in progress full implementation needs to be ported from the previous openbsd malloc based allocator can also return accurate values for pointers within small allocations the same applies to pointers within the first page of large allocations otherwise it currently has to return a sentinel no alignment tricks interfering with aslr like jemalloc partitionalloc etc no usage of the legacy brk heap aggressive sanity checks errors other than enomem from mmap munmap mprotect and mremap treated as fatal which can help to detect memory management gone wrong elsewhere in the process future memory tagging for slab allocations via mte on armv8 5 random memory tags as the baseline providing probabilistic protection against various forms of memory corruption dedicated tag for free slots set on free for deterministic protection against accessing freed memory store previous random tag within freed slab allocations and increment it to get the next tag for that slot to provide deterministic use after free detection through multiple cycles of memory reuse guarantee distinct tags for adjacent memory allocations by incrementing past matching values for deterministic detection of linear overflows randomness the current implementation of random number generation for randomization based mitigations is based on generating a keystream from a stream cipher chacha8 in small chunks separate csprngs are used for each small size class in each arena large allocations and initialization in order to fit into the fine grained locking model without needing to waste memory per thread by having the csprng state in thread local storage similarly it s protected via the same approach taken for the rest of the metadata the stream cipher is regularly reseeded from the os to provide backtracking and prediction resistance with a negligible cost the reseed interval simply needs to be adjusted to the point that it stops registering as having any significant performance impact the performance impact on recent linux kernels is primarily from the high cost of system calls and locking since the implementation is quite efficient chacha20 especially for just generating the key and nonce for another stream cipher chacha8 chacha8 is a great fit because it s extremely fast across platforms without relying on hardware support or complex platform specific code the security margins of chacha20 would be completely overkill for the use case using chacha8 avoids needing to resort to a non cryptographically secure prng or something without a lot of scrutiny the current implementation is simply the reference implementation of chacha8 converted into a pure keystream by ripping out the xor of the message into the keystream the random range generation functions are a highly optimized implementation too traditional uniform random number generation within a range is very high overhead and can easily dwarf the cost of an efficient csprng size classes the zero byte size class is a special case of the smallest regular size class it s allocated in a dedicated region like other size classes but with the slabs never being made readable and writable so the only memory usage is for the slab metadata the choice of size classes for slab allocation is the same as jemalloc which is a careful balance between minimizing internal and external fragmentation if there are more size classes more memory is wasted on free slots available only to allocation requests of those sizes external fragmentation if there are fewer size classes the spacing between them is larger and more memory is wasted due to rounding up to the size classes internal fragmentation there are 4 special size classes for the smallest sizes 16 32 48 64 that are simply spaced out by the minimum spacing 16 afterwards there are four size classes for every power of two spacing which results in bounding the internal fragmentation below 20 for each size class this also means there are 4 size classes for each doubling in size the slot counts tied to the size classes are specific to this allocator rather than being taken from jemalloc slabs are always a span of pages so the slot count needs to be tuned to minimize waste due to rounding to the page size for now this allocator is set up only for 4096 byte pages as a small page size is desirable for finer grained memory protection and randomization it could be ported to larger page sizes in the future the current slot counts are only a preliminary set of values size class worst case internal fragmentation slab slots slab size internal fragmentation for slabs 16 93 75 256 4096 0 0 32 46 88 128 4096 0 0 48 31 25 85 4096 0 390625 64 23 44 64 4096 0 0 80 18 75 51 4096 0 390625 96 15 62 42 4096 1 5625 112 13 39 36 4096 1 5625 128 11 72 64 8192 0 0 160 19 38 51 8192 0 390625 192 16 15 64 12288 0 0 224 13 84 54 12288 1 5625 256 12 11 64 16384 0 0 320 19 69 64 20480 0 0 384 16 41 64 24576 0 0 448 14 06 64 28672 0 0 512 12 3 64 32768 0 0 640 19 84 64 40960 0 0 768 16 54 64 49152 0 0 896 14 17 64 57344 0 0 1024 12 4 64 65536 0 0 1280 19 92 16 20480 0 0 1536 16 6 16 24576 0 0 1792 14 23 16 28672 0 0 2048 12 45 16 32768 0 0 2560 19 96 8 20480 0 0 3072 16 63 8 24576 0 0 3584 14 26 8 28672 0 0 4096 12 48 8 32768 0 0 5120 19 98 8 40960 0 0 6144 16 65 8 49152 0 0 7168 14 27 8 57344 0 0 8192 12 49 8 65536 0 0 10240 19 99 6 61440 0 0 12288 16 66 5 61440 0 0 14336 14 28 4 57344 0 0 16384 12 49 4 65536 0 0 the slab allocation size classes end at 16384 since that s the final size for 2048 byte spacing and the next spacing class matches the page size of 4096 bytes on the target platforms this is the minimum set of small size classes required to avoid substantial waste from rounding the config extended size classes option extends the size classes up to 131072 with a final spacing class of 16384 this offers improved performance compared to the minimum set of size classes the security story is complicated since the slab allocation has both advantages like size class isolation completely avoiding reuse of any of the address space for any other size classes or other data it also has disadvantages like caching a small number of empty slabs and deterministic guard sizes the cache will be configurable in the future making it possible to disable slab caching for the largest slab allocation sizes to force unmapping them immediately and putting them in the slab quarantine which eliminates most of the security disadvantage at the expense of also giving up most of the performance advantage but while retaining the isolation size class worst case internal fragmentation slab slots slab size internal fragmentation for slabs 20480 20 0 1 20480 0 0 24576 16 66 1 24576 0 0 28672 14 28 1 28672 0 0 32768 12 5 1 32768 0 0 40960 20 0 1 40960 0 0 49152 16 66 1 49152 0 0 57344 14 28 1 57344 0 0 65536 12 5 1 65536 0 0 81920 20 0 1 81920 0 0 98304 16 67 1 98304 0 0 114688 14 28 1 114688 0 0 131072 12 5 1 131072 0 0 the config large size classes option controls whether large allocations use the same size class scheme providing 4 size classes for every doubling of size it increases virtual memory consumption but drastically improves performance where realloc is used without proper growth factors which is fairly common and destroys performance in some commonly used programs if large size classes are disabled the granularity is instead the page size which is currently always 4096 bytes on supported platforms scalability small slab allocations as a baseline form of fine grained locking the slab allocator has entirely separate allocators for each size class each size class has a dedicated lock csprng and other state the slab allocator s scalability primarily comes from dividing up the slab allocation region into independent arenas assigned to threads the arenas are just entirely separate slab allocators with their own sub regions for each size class using 4 arenas reserves a region 4 times as large and the relevant slab allocator metadata is determined based on address as part of the same approach to finding the per size class metadata the part that s still open to different design choices is how arenas are assigned to threads one approach is statically assigning arenas via round robin like the standard jemalloc implementation or statically assigning to a random arena which is essentially the current implementation another option is dynamic load balancing via a heuristic like sched getcpu for per cpu arenas which would offer better performance than randomly choosing an arena each time while being more predictable for an attacker there are actually some security benefits from this assignment being completely static since it isolates threads from each other static assignment can also reduce memory usage since threads may have varying usage of size classes when there s substantial allocation or deallocation pressure the allocator does end up calling into the kernel to purge protect unused slabs by replacing them with fresh prot none regions along with unprotecting slabs when partially filled and cached empty slabs are depleted there will be configuration over the amount of cached empty slabs but it s not entirely a performance vs memory trade off since memory protecting unused slabs is a nice opportunistic boost to security however it s not really part of the core security model or features so it s quite reasonable to use much larger empty slab caches when the memory usage is acceptable it would also be reasonable to attempt to use heuristics for dynamically tuning the size but there s not a great one size fits all approach so it isn t currently part of this allocator implementation thread caching or lack thereof thread caches are a commonly implemented optimization in modern allocators but aren t very suitable for a hardened allocator even when implemented via arrays like jemalloc rather than free lists they would prevent the allocator from having perfect knowledge about which memory is free in a way that s both race free and works with fully out of line metadata it would also interfere with the quality of fine grained randomization even with randomization support in the thread caches the caches would also end up with much weaker protection than the dedicated metadata region potentially worst of all it s inherently incompatible with the important quarantine feature the primary benefit from a thread cache is performing batches of allocations and batches of deallocations to amortize the cost of the synchronization used by locking the issue is not contention but rather the cost of synchronization itself performing operations in large batches isn t necessarily a good thing in terms of reducing contention to improve scalability large thread caches like tcmalloc are a legacy design choice and aren t a good approach for a modern allocator in jemalloc thread caches are fairly small and have a form of garbage collection to clear them out when they aren t being heavily used since this is a hardened allocator with a bunch of small costs for the security features the synchronization is already a smaller percentage of the overall time compared to a much leaner performance oriented allocator these benefits could be obtained via allocation queues and deallocation queues which would avoid bypassing the quarantine and wouldn t have as much of an impact on randomization however deallocation queues would also interfere with having global knowledge about what is free an allocation queue alone wouldn t have many drawbacks but it isn t currently planned even as an optional feature since it probably wouldn t be enabled by default and isn t worth the added complexity the secondary benefit of thread caches is being able to avoid the underlying allocator implementation entirely for some allocations and deallocations when they re mixed together rather than many allocations being done together or many frees being done together the value of this depends a lot on the application and it s entirely unsuitable incompatible with a hardened allocator since it bypasses all of the underlying security and would destroy much of the security value large allocations the expectation is that the allocator does not need to perform well for large allocations especially in terms of scalability when the performance for large allocations isn t good enough the approach will be to enable more slab allocation size classes doubling the maximum size of slab allocations only requires adding 4 size classes while keeping internal waste bounded below 20 large allocations are implemented as a wrapper on top of the kernel memory mapping api the addresses and sizes are tracked in a global data structure with a global lock the current implementation is a hash table and could easily use fine grained locking but it would have little benefit since most of the locking is in the kernel most of the contention will be on the mmap sem lock for the process in the kernel ideally it could simply map memory when allocating and unmap memory when freeing however this is a hardened allocator and the security features require extra system calls due to lack of direct support for this kind of hardening in the kernel randomly sized guard regions are placed around each allocation which requires mapping a prot none region including the guard regions and then unprotecting the usable area between them the quarantine implementation requires clobbering the mapping with a fresh prot none mapping using map fixed on free to hold onto the region while it s in the quarantine until it s eventually unmapped when it s pushed out of the quarantine this means there are 2x as many system calls for allocating and freeing as there would be if the kernel supported these features directly memory tagging integrating extensive support for armv8 5 memory tagging is planned and this section will be expanded to cover the details on the chosen design the approach for slab allocations is currently covered but it can also be used for the allocator metadata region and large allocations memory allocations are already always multiples of naturally aligned 16 byte units so memory tags are a natural fit into a malloc implementation due to the 16 byte alignment requirement the only extra memory consumption will come from the hardware supported storage for the tag values 4 bits per 16 bytes the baseline policy will be to generate random tags for each slab allocation slot on first use the highest value will be reserved for marking freed memory allocations to detect any accesses to freed memory so it won t be part of the generated range adjacent slots will be guaranteed to have distinct memory tags in order to guarantee that linear overflows are detected there are a few ways of implementing this and it will end up depending on the performance costs of different approaches if there s an efficient way to fetch the adjacent tag values without wasting extra memory it will be possible to check for them and skip them either by generating a new random value in a loop or incrementing past them since the tiny bit of bias wouldn t matter another approach would be alternating odd and even tag values but that would substantially reduce the overall randomness of the tags and there s very little entropy from the start once a slab allocation has been freed the tag will be set to the reserved value for free memory and the previous tag value will be stored inside the allocation itself the next time the slot is allocated the chosen tag value will be the previous value incremented by one to provide use after free detection between generations of allocations the stored tag will be wiped before retagging the memory to avoid leaking it and as part of preserving the security property of newly allocated memory being zeroed due to zero on free it will eventually wrap all the way around but this ends up providing a strong guarantee for many allocation cycles due to the combination of 4 bit tags with the fifo quarantine feature providing delayed free it also benefits from random slot allocation and the randomized portion of delayed free which result in a further delay along with preventing a deterministic bypass by forcing a reuse after a certain number of allocation cycles similarly to the initial tag generation tag values for adjacent allocations will be skipped by incrementing past them for example consider this slab of allocations that are not yet used with 15 representing the tag for free memory for the sake of simplicity there will be no quarantine or other slabs for this example 15 15 15 15 15 15 three slots are randomly chosen for allocations with random tags assigned 2 7 14 since these slots haven t ever been used and don t have saved values 15 2 15 7 14 15 the 2nd allocation slot is freed and is set back to the tag for free memory 15 but with the previous tag value stored in the freed space 15 15 15 7 14 15 the first slot is allocated for the first time receiving the random value 3 3 15 15 7 14 15 the 2nd slot is randomly chosen again so the previous tag 2 is retrieved and incremented to 3 as part of the use after free mitigation an adjacent allocation already uses the tag 3 so the tag is further incremented to 4 it would be incremented to 5 if one of the adjacent tags was 4 3 4 15 7 14 15 the last slot is randomly chosen for the next allocation and is assigned the random value 14 however it s placed next to an allocation with the tag 14 so the tag is incremented and wraps around to 0 3 4 15 7 14 0 api extensions the void free sized void ptr size t expected size function exposes the sized deallocation sanity checks for c a performance oriented allocator could use the same api as an optimization to avoid a potential cache miss from reading the size from metadata the size t malloc object size void ptr function returns an upper bound on the accessible size of the relevant object if any by querying the malloc implementation it s similar to the builtin object size intrinsic used by fortify source but via dynamically querying the malloc implementation rather than determining constant sizes at compile time the current implementation is just a naive placeholder returning much looser upper bounds than the intended implementation it s a valid implementation of the api already but it will become fully accurate once it s finished this function is not currently safe to call from signal handlers but another api will be provided to make that possible with a compile time configuration option to avoid the necessary overhead if the functionality isn t being used in a way that doesn t change break api compatibility based on the configuration the size t malloc object size fast void ptr is comparable but avoids expensive operations like locking or even atomics it provides significantly less useful results falling back to higher upper bounds but is very fast in this implementation it retrieves an upper bound on the size for small memory allocations based on calculating the size class region this function is safe to use from signal handlers already stats if stats are enabled hardened malloc keeps tracks allocator statistics in order to provide implementations of mallinfo and malloc info on android mallinfo is used for mallinfo based garbage collection triggering https developer android com preview features mallinfo so hardened malloc enables config stats by default the malloc info implementation on android is the standard one in bionic with the information provided to bionic via android s internal extended mallinfo api with support for arenas and size class bins this means the malloc info output is fully compatible including still having jemalloc 1 as the version of the data format to retain compatibility with existing tooling on non android linux mallinfo has zeroed fields even with config stats enabled because glibc mallinfo is inherently broken it defines the fields as int instead of size t resulting in undefined signed overflows it also misuses the fields and provides a strange idiosyncratic set of values rather than following the svid xpg mallinfo definition the malloc info function is still provided with a similar format as what android uses with tweaks for hardened malloc and the version set to hardened malloc 1 the data format may be changed in the future as an example consider the following program from the hardened malloc tests c include pthread h include malloc h attribute optimize 0 void leak memory void void malloc 1024 1024 1024 void malloc 16 void malloc 32 void malloc 4096 void do work void p leak memory return null int main void pthread t thread 4 for int i 0 i 4 i pthread create thread i null do work null for int i 0 i 4 i pthread join thread i null malloc info 0 stdout this produces the following output when piped through xmllint format xml xml version 1 0 malloc version hardened malloc 1 heap nr 0 bin nr 2 size 32 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 32 allocated bin bin nr 3 size 48 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 48 allocated bin bin nr 13 size 320 nmalloc 4 nmalloc ndalloc 0 ndalloc slab allocated 20480 slab allocated allocated 1280 allocated bin bin nr 29 size 5120 nmalloc 2 nmalloc ndalloc 0 ndalloc slab allocated 40960 slab allocated allocated 10240 allocated bin bin nr 45 size 81920 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 81920 slab allocated allocated 81920 allocated bin heap heap nr 1 bin nr 2 size 32 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 32 allocated bin bin nr 3 size 48 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 48 allocated bin bin nr 29 size 5120 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 40960 slab allocated allocated 5120 allocated bin heap heap nr 2 bin nr 2 size 32 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 32 allocated bin bin nr 3 size 48 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 48 allocated bin bin nr 29 size 5120 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 40960 slab allocated allocated 5120 allocated bin heap heap nr 3 bin nr 2 size 32 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 32 allocated bin bin nr 3 size 48 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 4096 slab allocated allocated 48 allocated bin bin nr 29 size 5120 nmalloc 1 nmalloc ndalloc 0 ndalloc slab allocated 40960 slab allocated allocated 5120 allocated bin heap heap nr 4 allocated large 4294967296 allocated large heap malloc the heap entries correspond to the arenas unlike jemalloc hardened malloc doesn t handle large allocations within the arenas so it presents those in the malloc info statistics as a separate arena dedicated to large allocations for example with 4 arenas enabled there will be a 5th arena in the statistics for the large allocations the nmalloc ndalloc fields are 64 bit integers tracking allocation and deallocation count these are defined as wrapping on overflow per the jemalloc implementation see the section on size classes size classes to map the size class bin number to the corresponding size class the bin index begins at 0 mapping to the 0 byte size class followed by 1 for the 16 bytes 2 for 32 bytes etc and large allocations are treated as one group when stats aren t enabled the malloc info output will be an empty malloc element system calls this is intended to aid with creating system call whitelists via seccomp bpf and will change over time system calls used by all build configurations futex uaddr futex wait private val null via pthread mutex lock futex uaddr futex wake private val via pthread mutex unlock getrandom buf buflen 0 to seed and regularly reseed the csprng mmap null size prot none map anonymous map private 1 0 mmap ptr size prot none map anonymous map private map fixed 1 0 mprotect ptr size prot read mprotect ptr size prot read prot write mremap old old size new size 0 mremap old old size new size mremap maymove mremap fixed new munmap write stderr fileno buf len before aborting due to memory corruption madvise ptr size madv dontneed the main distinction from a typical malloc implementation is the use of getrandom a common compatibility issue is that existing system call whitelists often omit getrandom partly due to older code using the legacy dev urandom interface along with the overall lack of security features in mainstream libc implementations additional system calls when config seal metadata true is set pkey alloc pkey mprotect instead of mprotect with an additional pkey parameter but otherwise the same regular mprotect is never called additional system calls for android builds with label memory prctl pr set vma pr set vma anon name ptr size name | malloc security memory-allocation malloc-library memory-allocator memory hardening slab-allocator quarantine grapheneos | os |
youtube-nextjs-design-system | br div align center img width 300 alt nextjs chakraui src github assets nextjs chakraui png h4 align center next js declarative ui and design systems applied to reactjs access the tutorial a href https www youtube com watch v 6teo2axw oq here a h4 div p align center img alt github contributors src https img shields io github contributors eugustavo youtube nextjs design system img alt github license src https img shields io github license eugustavo youtube nextjs design system p p align center img alt rocketseat src github assets login rocketseat png p getting started to clone and run the application you will need to have git https git scm com node js https nodejs org yarn https yarnpkg com installed on your machine with all programs installed run the following command lines bash clone this repository git clone https github com rocketseat content youtube nextjs design system access the repository cd youtube nextjs design system install the dependencies yarn install run application yarn dev | os |
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fvcore | fvcore support ukraine https img shields io badge support ukraine ffd500 style flat labelcolor 005bbb https opensource fb com support ukraine fvcore is a light weight core library that provides the most common and essential functionality shared in various computer vision frameworks developed in fair such as detectron2 https github com facebookresearch detectron2 pyslowfast https github com facebookresearch slowfast and classyvision https github com facebookresearch classyvision all components in this library are type annotated tested and benchmarked the computer vision team in fair is responsible for maintaining this library features besides some basic utilities fvcore includes the following features common pytorch layers functions and losses in fvcore nn fvcore nn a hierarchical per operator flop counting tool see this note for details docs flop count md recursive parameter counting see api doc https detectron2 readthedocs io en latest modules fvcore html fvcore nn parameter count recompute batchnorm population statistics see its api doc https detectron2 readthedocs io en latest modules fvcore html fvcore nn update bn stats a stateless scale invariant hyperparameter scheduler see its api doc https detectron2 readthedocs io en latest modules fvcore html fvcore common param scheduler paramscheduler install fvcore requires pytorch and python 3 6 use one of the following ways to install 1 install from pypi updated nightly pip install u fvcore 2 install from anaconda cloud updated nightly conda install c fvcore c iopath c conda forge fvcore 3 install latest from github pip install u git https github com facebookresearch fvcore 4 install from a local clone git clone https github com facebookresearch fvcore pip install e fvcore license this library is released under the apache 2 0 license https github com facebookresearch fvcore blob main license | ai |
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MiniGUI | minigui a modern and proven cross platform window system for embedded systems or smart iot devices table of contents table of contents table of contents introduction introduction what s minigui whats minigui hvml app framework on minigui hvml app framework on minigui minigui and hybridos minigui and hybridos source code repositories source code repositories new features in version 5 0 x new features in version 50x compositing schema compositing schema new main window types new main window types virtual window virtual window other enhancements other enhancements new features in version 4 0 x new features in version 40x new features in version 3 2 x new features in version 32x the runtime modes of minigui the runtime modes of minigui a brief building instruction a brief building instruction building whole minigui building whole minigui building minigui core building minigui core unit tests unit tests othere resources othere resources minigui components minigui components open source apps based on minigui open source apps based on minigui history history authors and copying authors and copying special statement special statement not free for commercial use not free for commercial use a little faq a little faq introduction what s minigui minigui aims to provide a fast stable full featured and cross platform windowing and gui support system which is especially fit for embedded systems or smart iot devices based on linux uclinux ecos and other traditional rtoses such as rt thread freertos rtems vxworks threadx nucleus psos uc os ii ose and others this is the source tree of minigui core which provides the windowing and graphics interfaces as well as a lot of standard controls toolkit minigui is released under gplv3 and the dual licensing applies to commercial use in december 1998 the initiator of fmsoft vincent wei began to develop minigui under the gnu general public license gpl in september 2002 the core developers of minigui founded fmsoft and started the commercial marketing with the free software by now fmsoft still continues to release minigui as a free software project for the live demos source tarballs and cases of minigui you can refer to the following website http www minigui com hvml app framework on minigui minigui and its components provide a lot of controls widgets to help your develop gui apps in c c programming language however alternatively you can use the following software to develop your apps in an easy to use programming language hvml hvml is a descriptive programming language proposed and designed by vincent wei purc is the prime interpreter of hvml written in c lauguage xgui pro is a full featured hvml renderer based on the tailored webkit engine in short the above software suite provides an electron like solution that can help people develop cross platform applications using web front end technology the difference is that the solution replaces javascript with hvml and node js with purc it provides an entirely new application framework that isolates the interpreter and renderer from running in separate processes which brings several benefits it greatly reduces the size and resource consumption of the entire solution improves the overall performance promotes the interactive responsiveness and provides a simpler mechanism to integrate existing c c code modules minigui and hybridos hybridos is another large open source project initiated by fmsoft it is an open source operating system designed for embedded aiot devices and cloud computing environment hybridos provides the complete software stack and the app framework based on hvml for embedded systems you can easily develop your products which has rich functions and excellent expressiveness by using hybridos in practice minigui and the software which are used to integrated with gpu constitute the graphics stack of hybridos hybridos uses minigui as the underlying windowing system and the members of hybridos project are now maintaining the whole graphics stack the following chart shows the graphics stack of hybridos minigui hvml apps graphics stack himesa hicairo minigui egl for minigui c libs hidrmdrivers gl gles vg c libs libdrm gpu drivers linux kernel dri and dri drivers as shown in the chart above the hybridos graphics stack consists of the following software libdrm provides some user land apis for linux direct rendering infrastructure hidrmdrivers contains the drivers user land drivers not kernel drivers for minigui drm engine the drivers implement the basic hardware accelerated 2d graphics operations of various gpus for minigui himesa is the mesa derivative for hybridos while mesa is the open source implementation of opengl and other graphics apis including opengl es versions 1 2 3 opencl openmax and vulkan it contains the following components the implementation of opengl opengl es v1 2 3 and other graphics apis the egl implementation for minigui platform the graphics drivers for various gpus and a software driver called swrast hicairo is the cairo derivative for hybridos cairo is a 2d vector graphics library for gtk we provide support for minigui backend in hicairo for more information about hybridos please refer to https hybridos fmsoft cn source code repositories fmsoft had created the public repositories for minigui core minigui components hybridos and other open source apps on github you can visit them on https github com vincentwei we now maintain all documents about minigui on the following public repo https github com vincentwei minigui docs you can download the source code tarballs of minigui core minigui components and the dependent libraries from the download zone of the site http www minigui com download new features in version 5 0 x in version 5 0 0 we introduced some exciting new features and refactored a lot basic modules of minigui core compositing schema in this version we enhanced the minigui processes runtime mode to support the compositing schema under compositing schema regardless a main window is created by the server mginit or a client it renders the content in a separate rendering buffer and the server composites the contents from all visible main windows to the ultimate scan out frame buffer according to the z order information on the contrary the legacy schema of minigui processes uses the same frame buffer for all processes and all main windows in the system so the legacy schema is also called the shared frame buffer schema by enabling the compositing schema minigui now can provide a better implementation for multi process environment easy to implement advanced user interfaces with rounded corners alpha blending blurring and so on easy to implement animations for switching among main windows better security one client created by different user cannot read write contents in to another windows owned by other clients new main window types in this version we also enhanced the window manager of minigui core to support some special main window types before 5 0 0 you can create a topmost main window with the style ws ex topmost in order to show the main window above all normal main windows and if you use minigui processes runtime mode the server mginit will always create global main windows which are shown on other main windows created by clients since 5 0 0 we introduce a concept of z order levels for main windows there are eight levels in minigui from top to bottom the tooltip level ws ex wintype tooltip the system global level ws ex wintype global the screen lock level ws ex wintype screenlock the docker level ws ex wintype docker the higher level ws ex wintype higher the normal level ws ex wintype normal the launcher level ws ex wintype launcher the desktop or wallpaper this enhancement allows us to create a special app which acts as screen lock docker or launcher virtual window you know that we can post or send a message to other windows which may run in another thread under minigui threads the minigui messaging functions such as postmessage sendmessage sendnotifymessage and the window callback procedure provide a flexible efficient safe and flexible data transfer and synchronization mechanism for your multithreaded applications for example you can send or post a message to a window from a general purpose thread which may download a file from a remote server under minigui threads but can we use the minigui messaging mechanism under minigui processes and minigui standalone runtime modes for multithreading purpose for example we may download a file in a general thread and inform a window when the file is ready furthermore if we want to use the minigui messaging mechanism in a general thread to handle messages from other threads how to do this the virtual window provides a solution for the requirements above a virtual window is a special window object which does not have a visible window area but after you create a virtual window in a different thread you can use the minigui messaging mechanism to post or send messages between the current main window thread and the new thread this enhancement provides a very useful facility to you in order to develop a well designed multithreaded application other enhancements we also tune or enhance the following modules of minigui core enhanced timer support minigui now manages the timers per message thread under minigui threads runtime mode you can set up 32 64 on 64 bit architecture timers for each gui threads if you enabled virtual window you can also do this for each message thread support for listening a file descriptor as long as the underlying system has the select system call for all runtime modes now you can call registerlistenfd to register a file descriptor to be listened and handle msg fdevent in your window callback procedure to read write from to the file descriptor before this version this feature only available for minigui processes runtime mode support for local data of windows you can now set or retrieve a local data which is bound with a string name for a window this will give you an easy to use interface to manage various data of a window support for hardware cursors under compositing schema minigui now can utilize the hardware cursors if your graphics device support it you can also load a cursor from a png file support for loading icon from a bitmap file you can now load an icon from a bitmap file such as a png file unified the message hook functions for all runtime modes minigui now provides the consistent message hook functions for all runtime modes use the update regions for cumulative updating the screen this will eliminate the flickers due to the frequently redrawing of controls obviously this version brings the largest improvement since minigui 3 0 0 we did our best to ensure backward compatibility of the existed apis so that the old applications can smoothly migrate to the new version however there are still some slight changes you need to take care for more information please refer to release notes md file https github com vincentwei minigui blob rel 5 0 release notes md new features in version 4 0 x in this version we enhanced and tuned the apis related to text rendering in order to support hybridos foundation class library since 4 0 2 minigui provides support for rtems rt thread and freertos minigui now provides complete apis for unicode characters processing these apis conform to unicode 12 0 minigui also provides new apis to lay out shape and render glyphs from complex and mixed scripts such as arabic thai and indic we tuned and optimized minigui s logical and device font interfaces to support the new features above minigui now is enhanced to support input events which may be generated by input devices other than standard mouse or single touch panel and keyboard such as multi touch panel gesture joystick tablet tool table pad and switch in minigui 4 0 we introduce msg exin xxx messages to support the input events from devices other than standard mouse and keyboard we call these messages as extra input messages the newgal engine of dri to support modern dri drm driven graphics cards or gpus on linux the ial engine of libinput to support all modern input devices including mouse keyboard joystick switch multiple touch panel gesture tablet tool and table pad on linux we introduced a slice memory allocator for fast concurrent memory chunk allocation cleanup and tune code for gcc 7 3 for more information please refer to release notes md file https github com vincentwei minigui blob rel 4 0 release notes md because of the changes of some apis we recommended strongly that you use this version for new projects new features in version 3 2 x we introduce some new features in minigui version 3 2 x the support for 64 bit platform note that some apis have changed to support 64 bit platform some enhancements and optimizations for more information please refer to release notes md file https github com vincentwei minigui blob rel 3 2 release notes md the runtime modes of minigui you can configure and compile minigui as one of three runtime modes minigui threads a program running on minigui threads can create multiple cascaded windows in different threads and all the windows belong to a single process minigui threads is fit for some real time systems on linux uclinux ecos uc os ii vxworks psos threadx and ose minigui processes a program running on minigui processes is an independent process which can also create multiple windows minigui processes is fit for some complex embedded systems such as pdas thin clients or stbs this mode is only useful for full featured unix like operating systems like linux minigui standalone a single process version of minigui this mode is useful for some small systems like uclinux or rtoses the original minigui version 1 0 run in minigui threads mode it is based on posix compliant thread library and this thread based architecture of minigui is very fit for most traditional embedded operating systems such as ecos uc os ii and vxworks however if you use embedded linux the architecture like x window will have better stability and scalability because of the independent memory address space of every process since version 2 0 we provides a new runtime mode called minigui processes you can use minigui processes to run more than one minigui based program in the form of unix process at the same time minigui processes is a full featured multi process version of original minigui you can run a program based on minigui processes from a program called mginit just like x window the former process is called a client and the latter the server clients connect to the server via unix domain socket and the server receives and responses requests from clients the server provides shared resources for clients manage window objects and sends mouse or touch screen and keyboard events to the active top most client if a client exits or dies for some reasons it will not damage other clients and the server a brief building instruction building whole minigui if you are anxious to see the comprehensive demo of minigui core and minigui components please fetch one of the following repositories from github and follow the instructions to build minigui core minigui components the samples and the demonstration programs build minigui 5 0 https github com vincentwei build minigui 5 0 or build minigui 4 0 https github com vincentwei build minigui 4 0 or build minigui 3 2 https github com vincentwei build minigui 3 2 building minigui core we recommend that you use a latest linux distribution with long term support for example ubuntu linux lts 16 04 or 18 04 on ubuntu linux lts 16 04 or 18 04 you should run apt install package name to install the following packages building tools autoconf dependent libraries all are optional libjpeg64 dev libpng12 dev use libpng dev on ubuntu linux 18 04 lts libfreetype6 dev minigui core uses gnu autoconf automake scripts to configure and build the project run configure make sudo make install to configure make and install the headers and the libraries if there is not configure file please run autogen sh to generate the script minigui core also provides some configuration options to customize the features for more information please run configure help unit tests since minigui 4 0 0 we organize the unit test code of minigui apis in the following repository https github com vincentwei mg tests if you are interested in hacking the minigui code please visit this repository othere resources minigui components besides minigui core fmsoft also provides some components for the developers to develop app much easier mgutils a minigui component which contains miscellaneous utilities like colorselectiondialogbox fileopendialogbox and so on mgplus a minigui component which provides support for advanced graphics functions like path gradient anti aliased stretch and color combination mgeff mgeff provides an animation framework for minigui app it also provides some popular ui ue special effects mgncs this component provides a new control set for minigui app mgncs4touch this component provides some new controls which are compliant to the new control api spec of mgncs for devices with touch screens there are also some legacy minigui components but we will not maintain these components since minigui v3 2 0 mgi an input method component for minigui this component provides some typical input methods such as soft keyboard hand writing and predict text input for mobile phone for minigui apps mgp a printing component for minigui by using mgp you can print out the graphics created by minigui app to general purpose printers mg3d a simple three dimension component for minigui this component provides a simple 3d api for app you can use mg3d to create simple 3d ui open source apps based on minigui fmsoft also releases some open source apps for minigui on the site above for examples mdolphin licensed under apache 2 0 is a full featured web wap browser which is developed based on the open source browser core webkit and uses minigui as its underlying graphics support system mgallery licensed under apache 2 0 intends to provide a total solution for pmp portable multimedia player which uses minigui as the graphics platform mspider licensed under gpl 3 0 intends to provide a light weight minigui based web browser html 3 2 and part javascript meagle licensed under gpl 3 0 is an embedded gis development platform which addresses the needs of map browse query analysis etc history 21 years have pasted since minigui was initially created at the end of 1998 and now it becomes much reliable and stable during the past years many remarkable changes have taken place in the minigui project at the original the version 0 2 xx was based on svgalib and pthread linuxthreads then the version 0 3 xx had many enhanced features including graphics abstract layer gal input abstract layer ial and the support for multiple charsets and multiple fonts in version 1 0 00 we designed minigui lite which was more fit for some complex embedded systems such as pdas thin clients or stbs minigui lite made the embedded systems more stable and efficient the version 1 0 00 provided the native fbcon engine based on linux frame buffer device directly as well in the development of version 1 1 00 we re wrote the gal and gdi interfaces and provided some advanced video features such as raster operation transparent blitting alpha blending and video hardware acceleration we also provided some important gdi functions such as ellipse arc polygon and floodfill in the development of version 1 6 0 we added advanced 2d graphics functions to minigui it provides the abstract logical pen and brush objects and can be used to render advanced graphics objects in the development of version 2 0 x we developed minigui processes in the development of version 3 0 x we introduced look feel renderer bidi text support non rectangular window double buffer window and other main features in the development of version 4 0 x we introduced the support for complex writing systems scripts such as arabic thai and indic in the development of version 5 0 x we introduced some new and exciting features such as compositing schema and virtual window a brief history description of the development progress is listed as follow 1 1994 1996 minigui dos version 1 dec 1998 began to write 1 apr 1999 the skeleton of minigui windowing sub system and basic graphics device interfaces 1 may 1999 timer menu and the skeleton of control sub system 1 jun 1999 chinese input method by kang xiaoning 1 july 1999 gif and jpg loading support by li zhuo 1 aug 1999 some standard controls portion by zhao jianghua 1 sep 1999 dialog boxes and message boxes 1 sep 1999 snapshot of screen or window 1 jan 2000 vcongui virtual console on minigui version 0 2 02 1 mar 2000 linux distribution installer based on minigui for happylinux 1 0 1 jun 2000 began to develop version 1 0 xx 1 sep 2000 minigui version 0 3 06 released 1 oct 2000 minigui version 0 9 00 released 1 nov 2000 minigui version 0 9 96 released 1 jan 2001 minigui version 0 9 98 released you can build minigui lite from this version 1 jan 2001 minigui version 1 0 00beta1 released 1 feb 2001 minigui version 1 0 00pre1 released 1 apr 2001 minigui version 1 0 00 released 2001 04 16 1 sep 2001 minigui version 1 1 0pre1 released 2001 09 12 1 sep 2001 minigui version 1 0 9 released 2001 09 17 this will be the last version of source branch 1 0 x 1 oct 2001 minigui version 1 1 0pre4 released 2001 10 22 this version have new gal and gdi interfaces 1 mar 2002 minigui official version 1 1 0 released 2002 03 08 minigui api reference documentation version 0 9 released 1 mar 2002 minigui api reference documentation version 1 0 released 1 apr 2002 minigui the new stable version 1 2 0 released 2002 04 11 1 sep 2002 the main developers of minigui founded a new software corporation beijing fmsoft technology co ltd and the development and maintenance of minigui changes from loosely knit team to business organization 1 mar 2003 minigui official version 1 2 5 released 2003 03 23 1 may 2003 minigui official version 1 2 6 released 2003 05 18 1 sep 2003 minigui official version 1 3 1 released 2003 09 11 1 jan 2004 minigui official version 1 5 1 released 2004 01 18 1 feb 2004 minigui tested on ecos and uc os ii 1 jun 2004 minigui tested on vxworks 1 jan 2005 minigui tested on threadx and psos 1 feb 2005 minigui official version 1 6 1 released 1 aug 2005 minigui beta version 2 0 0 released 1 sep 2005 minigui official version 1 6 8 released 1 oct 2005 minigui official version 2 0 2 released 1 jun 2006 minigui provides support for ose 1 jul 2006 minigui official version 2 0 3 1 6 9 released 1 nov 2007 minigui official version 2 0 4 1 6 10 released 1 apr 2009 minigui official version 3 0 2 released 1 oct 2009 minigui official version 3 0 4 released 1 jan 2010 minigui official version 3 0 6 released 1 may 2010 minigui official version 3 0 8 released 1 aug 2010 minigui official version 3 0 10 released 1 oct 2010 minigui official version 3 0 12 released 1 aug 2017 fmsoft released the latest source code of minigui under gpl 3 0 1 aug 2017 fmsoft released the latest source code of mdolphin under apache 2 0 1 dec 2017 fmsoft updated minigui and ministudio for latest linux distributions 1 feb 2018 fmsoft released minigui version 3 2 0 1 apr 2019 fmsoft released minigui version 3 2 2 1 jul 2019 fmsoft released minigui version 4 0 0 1 mar 2020 fmsoft released minigui version 5 0 0 1 may 2021 fmsoft released minigui version 5 0 6 1 jan 2022 fmsoft released minigui version 5 0 9 1 sep 2022 fmsoft released minigui version 5 0 10 authors and copying the original author of minigui is vincent wei and now minigui is maintained by fmsoft for more information please refer to http www fmsoft cn copyright c 2002 2022 beijing fmsoft technologies co ltd copyright c 1998 2002 vincent wei this program is free software you can redistribute it and or modify it under the terms of the gnu general public license as published by the free software foundation either version 3 of the license or at your option any later version this program is distributed in the hope that it will be useful but without any warranty without even the implied warranty of merchantability or fitness for a particular purpose see the gnu general public license for more details you should have received a copy of the gnu general public license along with this program if not see http www gnu org licenses or as this program is a library any link to this program must follow gnu general public license version 3 gplv3 if you cannot accept gplv3 you need to be licensed from fmsoft if you have got a commercial license of this program please use it under the terms and conditions of the commercial license for more information about the commercial license please refer to http www minigui com blog minigui licensing policy special statement the above open source or free software license does not apply to any entity in the exception list published by beijing fmsoft technologies co ltd if you are or the entity you represent is listed in the exception list the above open source or free software license does not apply to you or the entity you represent regardless of the purpose you should not use the software in any way whatsoever including but not limited to downloading viewing copying distributing compiling and running if you have already downloaded it you must destroy all of its copies the exception list is published by fmsoft and may be updated from time to time for more information please see https www fmsoft cn exception list not free for commercial use as stated above minigui and its components are licensed under gpl so any links about minigui must follow gpl if you cannot accept gpl you need to be licensed from fmsoft we provide you the commercial license of minigui according to the number of the run time binary copies of minigui if you are interested in the commercial license of minigui please write to sales minigui com a little faq q which operating systems does minigui support a minigui can run on linux uclinux uc os ii ecos threadx psos vxworks threadx ose and even win32 any other real time oses can be supported theoretically q which architecture does minigui support a x86 32 64 bit arm 32 64 bit e g armv7 and arm cortex a7 powerpc mips dragonball coldfire blackfin and so on q does minigui offer the support for grey lcd with 4bpp bits per pixel a yes it offers it even offers the support for 1bpp and 2bpp lcd q can i get the tech support from minigui team a yes fmsoft can provide you with guaranteed commercial technical support services please send messages to sales minigui com beijing fmsoft technologies co ltd https www fmsoft cn fmsoft technologies https www fmsoft cn fmsoft https www fmsoft cn hybridos official site https hybridos fmsoft cn minigui official site https hvml fmsoft cn hvml official site https hvml fmsoft cn vincent wei https github com vincentwei minigui https github com vincentwei minigui hybridos https github com fmsoftcn hybridos hvml https github com hvml purc https github com hvml purc xgui pro https github com hvml xgui pro webkit https webkit org | server |
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CarRenting | car renting application this repository contains a java application for the large scale and multistructured databases course assignment the workgroup must design and implement a simple application connecting to a relational data base the manipulation of the data base must be carried out using a standard implementation of the java persistency api requirements 1 the db should contain at least 3 tables including at least one one to many or one many to many relationship 1 a set of crud create insert read update and delete operations must be performed on the db using java code with jpa 1 define an interface for user interaction with all the functionalities of the application the application must not be compiled each time for showing different functionalities documentation for more details regarding the project you can consult the official documentation docs documentation pdf credits d comola e petrangeli c aparo l fontanelli | server |
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ChatYuan | chatyuan large language model for dialogue in chinese and english 2023 3 23 chatyuan large v2 chatyuan large v2 v1 chatyuan large v2 is an open source large language model for dialogue supports both chinese and english languages and in chatgpt style chatyuan large v2 chatyuan pc int4 400m a href https huggingface co spaces clueai chatyuan large v2 target blank demo huggingface a nbsp a href https modelscope cn studios clueai chatyuan large v2 target blank demo modelscope a nbsp a href https www clueai cn target blank api large a nbsp nbsp a href https colab research google com drive 1zclijuemiojigrfjbsdmbwrx7jqxzx6i usp sharing target blank colab a nbsp nbsp a href https mp weixin qq com s ftxanrhava5u7hryfm8j6q target blank a chatyuan large v1 1024token 4096 based on the original functions of chatyuan large v1 we optimized the model as follows added the ability to speak in both chinese and english added the ability to refuse to answer learn to refuse to answer some dangerous and harmful questions added code generation functionality basic code generation has been optimized to a certain extent enhanced basic capabilities the original contextual q a and creative writing skills have significantly improved added a table generation function make the generated table content and format more appropriate enhanced basic mathematical computing capabilities the maximum number of length tokens has been expanded to 4096 enhanced ability to simulate scenarios br https huggingface co clueai chatyuan large v2 https modelscope cn studios clueai chatyuan large v2 license license a href https www cluebenchmarks com clueai html promptclue large a 1000 token 1 5 token prompt a href https huggingface co spaces clueai chatyuan large v2 target blank demo huggingface space a nbsp a href https www clueai cn target blank api large a nbsp nbsp a href https github com clue ai chatyuan target blank github a nbsp nbsp a href https colab research google com drive 1zclijuemiojigrfjbsdmbwrx7jqxzx6i usp sharing target blank colab a nbsp nbsp a href https mp weixin qq com s axa6xcjgl koeq ordq8w target blank a gradio gradio imgs gradio python png clueai 0 0 2 2 4 gradio 3 20 1 transformers 4 26 1 app gradio py python from transformers import autotokenizer automodel import os model dir clueai chatyuan large v2 tokenizer autotokenizer from pretrained model dir model automodel from pretrained model dir trust remote code true history print starting while true query input n if query stop break if query clear history os system clear continue response history model chat tokenizer query history history print f response python from transformers import t5tokenizer t5forconditionalgeneration tokenizer t5tokenizer from pretrained clueai chatyuan large v2 model t5forconditionalgeneration from pretrained clueai chatyuan large v2 512 6g 3g model t5forconditionalgeneration from pretrained clueai chatyuan large v2 half python import torch from transformers import autotokenizer colab gpu device torch device cuda model to device def preprocess text text text replace n n replace t t return text def postprocess text return text replace n n replace t t replace 20 def answer text sample true top p 0 9 temperature 0 7 context sample true top p 0 1 text f context n text n text text strip text preprocess text encoding tokenizer text text truncation true padding true max length 1024 return tensors pt to device if not sample out model generate encoding return dict in generate true output scores false max new tokens 1024 num beams 1 length penalty 0 6 else out model generate encoding return dict in generate true output scores false max new tokens 1024 do sample true top p top p temperature temperature no repeat ngram size 12 out text tokenizer batch decode out sequences skip special tokens true return postprocess out text 0 python input text0 input text1 iphone input text2 input text3 input text4 input text5 input text6 800 input text7 input text8 gpu input list input text0 input text1 input text2 input text3 input text4 input text5 input text6 input text7 input text8 for i input text in enumerate input list print f i center 50 output text answer input text print f input text output text python history while true query input n context n join history 5 response answer query context context history append f query n response print f response python input text answer text ai context n join f input text i n answer text i for i in range len input text input text print f center 50 output text answer input text context context print f context n input text n output text text to text transfer transformer https github com google research text to text transfer transformer open in colab https colab research google com assets colab badge svg https colab research google com drive 1leyfhefoc 5z5xqpekkzt imaojh1mp usp sharing https github com clue ai chatyuan tree main distributed training paddle 1 https aistudio baidu com aistudio projectdetail 5452095 2 https aistudio baidu com aistudio projectdetail 5427279 chatyuan large v2 1 2 3 chatyuan large v1 dear name i m sorry to inform you that we have been doing our business to you for your delay we understand that we can compensate you for your losses due to the delay in our logistics we understand that we can make sure we can compensate you for your losses due to the delay thank you for your understanding and we are very grateful for your efforts sincerely your name chatyuan large v2 subject due to delay in logistics our company does not order the item as planned on time we understand that this is unfortunately caused by the delay in the delivery of the item and we regret to investigate its cause we believe that this may cause any inconvenience or loss of compensation to our competitors our company believes we can address any underlying issues that may arise we are confident that our services will be acceptable if any inconformity occurs please let us know if we can assist us in resolving any issues that could arise if the delivery team fails we can do so as soon as possible to ensure that all of the inconvenients are resolved thank you for your understanding and support we look forward to hearing from you soon best regards chatyuan large v1 chatyuan large v2 800 chatyuan large v1 chatyuan large v2 1 2 3 4 5 chatyuan large v1 chatyuan large v2 chatyuan large v1 1 1 1 2 1 1 3 2 2 1 chatyuan large v2 1 2 3 1 k407 k451 2 k196 3 m29 m35 4 chatyuan large v1 chatyuan large v2 chatyuan large v2 ai chatyuan large v2 chatyuan large v2 python chatyuan large v2 python python def bubble sort arr n len arr for i in range n for j in range 0 n i 1 if arr j arr j 1 arr j arr j 1 arr j 1 arr j arr 64 34 25 12 22 11 90 bubble sort arr print for i in range len arr print d arr i python 11 12 22 25 34 64 90 range n 0 n range n n sum arr len arr for i in range n sum arr a b c d e 1000 2000 1500 3000 2500 10 20 15 25 18 markdown chatyuan large v2 n n a 1000 10 n b 2000 20 n c 1500 15 n d 3000 25 n e 2500 18 markdown a 1000 10 b 2000 20 c 1500 15 d 3000 25 e 2500 18 do sample false 256 998 chatyuan large v2 10007 117 998921 998921 6 117 3 0 000117 000117 1 6 711000 998921 1 6 129899 1 7 1 8 8 10 8 2 1 2 3 3 10 3 3 1 9 10 10 10 0 1 4 0 8 1 9 9 10 9 5 0 9 9 9 10 9 6 0 9 9 9 10 9 999038 236588918 786777 236588918 9 786777 6 0 000786777 236588918 1 9 819825632 000786777 1 9 777687000 1 8 7 15 15 10 5 1 2 1 7 1 9 9 10 9 3 9 7 16 16 10 6 1 4 8 6 1 15 15 10 5 1 5 8 8 1 17 17 10 7 1 6 5 7 1 13 13 10 3 1 7 6 0 1 7 7 10 7 8 3 0 3 3 10 3 9 2 0 2 2 10 2 237375695 n python import numpy as np from sklearn linear model import linearregression lr linearregularization x train new np vstack x train y train y train lr lr fit transform x trains model linearize model fit x train y trin y pred lr train model predict proba x test 1 0 5 print y pred chatyuan bibtex software clueai2023chatyuan author xuanwei zhang liang xu and kangkang zhao title chatyuan a large language model for dialogue in chinese and english month dec year 2022 url https github com clue ai chatyuan p float left img src https github com clue ai chatyuan blob main imgs chatyuan png width 29 height 29 img src https github com clue ai chatyuan blob main imgs brightmart jpeg width 29 height 29 p discord https discord gg huvymrbyae | ai |
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sistent | sistent design system the sistent design system from layer5 provides the open source building blocks to design and implement consistent accessible and delightful product experiences packages design system components in react usually built with vite list of npm packages layer5 sistent components layer5 sistent svg brand layer5 brand guide pdf https layer5 io brand brand guide pdf layer5 logos https layer5 io company brand more assets available in shared community drive packages design system components in react js prerequisites before you begin ensure you have the following installed on your system node js yarn how to get started use corepack enable to go ahead and install yarn 1 install yarn 3 6 3 2 use yarn to install dependencies from the root of this project div nbsp div installation to set up the project run the following command to install dependencies setup yarn install to build the project you can use the following command build install yarn run build all to check if your code meets the formatting standards you can run format check yarn run format check to automatically fix formatting issues you can run format fix yarn run format write join the layer5 community a name contributing a a name community a our projects are community built and welcome collaboration be sure to see the a href https docs google com document d 17optde rdnpqxmk2kauhm3gwxf1r5dz3cj8qzlkdo5e edit layer5 community welcome guide a for a tour of resources available to you and jump into our a href http slack layer5 io slack a p style clear both a href https layer5 io community meshmates img alt meshmates src github readme images layer5 community sign png style margin right 10px margin bottom 15px width 28 align left a h3 find your meshmate h3 p meshmates are experienced layer5 community members who will help you learn your way around discover live projects and expand your community network become a b meshtee b today p find out more on the a href https layer5 io community layer5 community a br br br br br p div nbsp div a href https slack meshery io picture align right source media prefers color scheme dark srcset github readme images slack dark 128 png width 110px align right style margin left 10px margin top 10px source media prefers color scheme light srcset github readme images slack 128 png width 110px align right style margin left 10px padding top 5px img alt shows an illustrated light mode meshery logo in light color mode and a dark mode meshery logo dark color mode src github readme images slack 128 png width 110px align right style margin left 10px padding top 13px picture a a href https meshery io community img alt layer5 community src github readme images community svg style margin right 8px padding top 5px width 140px align left a p em strong join strong em any or all of the weekly meetings on a href https meet layer5 io community calendar a br em strong watch strong em community a href https www youtube com playlist list pl3a a6hpo2imppqvjuzgqnu5xwnffn3n0 meeting recordings a br em strong access strong em the community drive by completing a community a href https layer5 io newcomer member form a br em strong discuss strong em in the a href https discuss layer5 io community forum a br em strong explore more strong em in the a href https layer5 io community handbook community handbook a br p p align center i not sure where to start i grab an open issue with the a href https github com issues q is 3aopen is 3aissue archived 3afalse org 3alayer5io org 3ameshery org 3alayer5labs org 3aservice mesh performance org 3aservice mesh patterns label 3a 22help wanted 22 help wanted label a p | hacktoberfest | os |
electron-react-python-template | electron react python template build https img shields io badge build passing 23704cb6 style for the badge https github com ipzard electron react python template readme license https img shields io github license ipzard electron react python template color 704cb6 style for the badge https github com ipzard electron react python template blob master license multi platform electron template using react redux toolkit with python flask microservices electron react python https user images githubusercontent com 8584126 95290114 59e42900 0821 11eb 8e43 a708959e8449 gif setup ensure you have node https nodejs org en download and python https www python org downloads installed then clone this repository after it s cloned navigate to the project s root directory on your computer and run the following scrips in a terminal application e g git bash install python dependencies bash pip3 install r requirements txt install node dependencies bash yarn install br config electron electron s main js preload js and renderer js files can be found in the project s root directory react react files can be found in the src folder the custom toolbar is in src components toolbar python python scripts can be created in the app py file and used on events via rest https developer mozilla org en us docs glossary rest calls br scripts below are the scripts you ll need to run and package your application as well as build out jsdoc documentation if you choose to do so an exhaustive list of scripts that are available can be found in the package json file of the project s root directory in the scripts section nbsp when packaging you must install pyinstaller https pypi org project pyinstaller and add its path in your environment variables br the name of your package in package js https github com ipzard electron react python template blob master scripts package js must also match the name field in package json https github com ipzard electron react python template blob master package json start developer mode bash yarn run start package windows sup 1 sup bash yarn run build package windows package macos bash yarn run build package mac package linux bash yarn run build package linux build documentation bash yarn run build docs sup 1 sup windows uses electron wix msi https github com felixrieseberg electron wix msi you must install and add its path to your environment variables br br docs code documentation for this template created with jsdoc https github com jsdoc jsdoc can be found here br electron react python template https ipzard github io electron react python template br br bugs bugs reported on the project s issues page https github com ipzard electron react python template issues will be exterminated as quickly as possible be sure to include steps to reproduce so they can be spotted easily br br license mit ipzard https github com ipzard electron react python template blob master license | electron react python template | front_end |
FreeRTOS_template | freertos template basic structure of an stm32cubemx generated project this is the basic skeleton of freertos project that i use for my embedded development i ve decided to create this repo because of numerous questions to me personally and on reddit pertaining to exactly how to write large and complex embedded code based on freertos and cubemx how to adapt this template to your needs this section will contain hopefully without errors the process of adapting the template to your needs i used stm32l476rg chip because that s my goto nucleo device that i do all my prototyping on it s reasonably powerful can be made low power has sufficiently wide choice of peripherals and it s under 10 so when i blow it up because 24v rail got accidentally connected to a gpio it s no big deal i have a drawer full of them freertos code generation from cubemx at this stage all that you need to do is choose a board or a processor and click freertos as required middleware to be included in the build pay attention to systick selection freertos uses systick by default so if you choose to use hal pick a different timebase import into truestudio now that the code is generated you can open it in truestudio this is what i use for your choice of sdk process might be different in project pane right click and select import in a pop up window select general existing project into workspace in select root directory browse to the folder where code was generated i d recommend generating code directly into truestudio workspace but preference is entirely yours you can keep code where it is or choose to let truestudio copy it into workspace keep in mind that if you choose to copy code into workspace subsequent cubemx updates will not be copied automatically once code is imported build it to make sure everything is in order modify code here are the steps you need to perform in order to allow you to write your various controllers in c instead of c c entry point find section user code begin pfp in main c and add user code begin pfp extern void startthreads const void user code end pfp find section user code begin 2 and add the following code osthreaddef threadsstarter startthreads ospriorityrealtime 0 128 osthreadcreate osthread threadsstarter null copy file threads cpp to src folder libraries create folder for libraries use command file new source folder n b it is very important that you create a source folder and not just folder source folder contents will be compiled while contents of regular folders will not you can tell the difference between source folders and regular folders by presence of blue square with letter c inside next to source folders copy contents of folder libraries to newly created folder this folder is basic abstractions for booleanio fifobuffer and softtimer after i wrote the softtimer class i found out freertos already has the concept built in so this class will be deprecated in the future try to avoid using it threads or tasks as they are known in freertos follow the same process as you did for libraries to create a source folder called threads copy contents of folder threads to newly created folder this folder contains base class for all thread classes and two inherited classes cuartcommscontroller looks after uart channel debugcontroller is general purpose controller that can be used to do anything in this case it blinks ld2 to notify that kernel is running i use debugcontroller when i need to create a backdoor to a gpio port or adc or perform something that overall architecture of the code would not allow or prove difficult to implement nothing that is supposed to remain in release version should live in debugcontroller enable c code compilation add c nature to the project file new convert to a c c project adds c c nature add new folders to list of directories right click on project name and select properties in c c build settings tool settings copy everything from c compiler directories to c compiler directories in c c build settings tool settings c compiler directories create folders threads libraries minor improvements if you have a modern pc it is likely running a multicore processor to speed up compilation you can enable parallel build in project properties go to c c build behaviour and tick box enable parallel build check use optimal jobs to let eclipse determine how many cores to use this will cause eclipse to compile multiple files in parallel thread tracking in development tracealyzer integration in development notes this section contains various stuff that does not fit neatly into other sections stuff i don t know how to do folder settings contains a file language settings xml that seems to change randomly depending on which machine i use to compile the code i have what i think identical installations of toolchain on all my laptops yet this file keeps creeping up in my source control i eventually got annoyed and gitignored it does not seem to break anything code compiles and works just fine if any of you fine folk can explain how to deal with it properly i d be glad to hear it | os |
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CloudEng-2ndsem-Assg2 | cloudeng 2ndsem assg2 altschool of cloud engineering v2 2nd semester assignment 2 submission | cloud |
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Dapp-Learning | div align center img src dapplearning logo svg style margin 0 auto 40px width 380 h1 dapp learning h1 h4 align center definitive guide for decentralized app dapp development on blockchain h4 p step by step dapp practice through classical projects p br p a href https github com dapp learning dao dapp learning tree main docs imgs wechat group helper png img alt wechat group helper src https img shields io static v1 label logo wechat message wechat group color brightgreen logocolor white a a href https twitter com dapp learning img alt twitter follow src https img shields io twitter follow dapp learning label follow a a href https www youtube com c dapplearning img alt youtube channel subscribers src https img shields io youtube channel subscribers ucdjkzvxo55n3n2bqyxmdacq style social a a href https discord gg crynyxqper img src https img shields io discord 907080577096757279 color 5865f2 logo discord logocolor white label discord alt discord server a a href https t me joinchat 48mp2jy4yw40mmi1 img src https img shields io badge telegram blue color blue logo telegram logocolor white alt telegram group a a href https gitcoin co grants 3414 dapp learning developer group 1 img alt gitcoin grants src https img shields io badge gitcoin grants yellow a a href https github com dapp learning dao dapp learning img alt github contributors src https img shields io github contributors dapp learning dao dapp learning a p div https github com dapp learning dao dapp learning blob main readme cn md english preface we are designed for developers to step into blockchain dapp development where they can learn defi nft dao crypto projects we hope we could not only give junior developers a feasible and easy to use blockchain dapp learning roadmap but also present advanced developers with a platform for communication and cooperation we are a decentralized learning group to study the mainstream dapp projects together and share thoughts every week the weekly sharing will be recorded and uploaded to youtube https www youtube com c dapplearning videos we adhere to the concept of open source university https dapplearning notion site b37a0a4ab4e646e3af5758bc977c5bc8 v f8c3344b344d45a6b1517ba90262c308 and follow dao s governance currently we are sponsored by ethereum foundation https esp ethereum foundation en and accept grants in gitcoin https gitcoin co grants 3414 dapp learning developer group 1 all the funds will be awarded to whoever makes valuable contributions to us please follow us on twitter dapp learning https twitter com dapp learning or wechat official account welcome to dapp learning https mp weixin qq com s xch7b4jviagovby9ci6 ka to keep track of our latest progress we need more builders to help make our community grow contributors are welcomed from all backgrounds feel free to send us pull requests to set up new tutorials or improve our current tutorial projects correcting spelling errors is also helpful to us join our developer community by submitting pr or sharing at dapp learning university https dapplearning notion site b37a0a4ab4e646e3af5758bc977c5bc8 v f8c3344b344d45a6b1517ba90262c308 once you submit three prs you will be promoted to be a pull request reviewer who could participate in our dao s governance join our discord https discord gg crynyxqper or telegram https t me joinchat 48mp2jy4yw40mmi1 if you want to communicate any technical issues with us for more project management rules please see how new members participate and project governance rules https github com dapp learning dao dapp learning blob main docs dao en md welcome to join us if you share the same value details summary official links summary github https github com dapp learning dao dapp learning twitter https twitter com dapp learning discord https discord gg crynyxqper telegram https t me joinchat 48mp2jy4yw40mmi1 youtube https www youtube com channel ucdjkzvxo55n3n2bqyxmdacq wechat official account dapp learning bilibili https space bilibili com 2145417872 notion https www notion so dapplearning dapp learning dao a5f7b5e29bb744578f1c1ce99783cf2d sharing meeting https dapplearning notion site b37a0a4ab4e646e3af5758bc977c5bc8 v f8c3344b344d45a6b1517ba90262c308 gitcoin https gitcoin co grants 3414 dapp learning developer group 1 project fund management https app safe global matic 0x2a6d09b3b11e5455a37f907f2ec885e0be704779 balances linktr https linktr ee dapplearning details details summary technology stack summary web3 js ethers js hardhat web3 py brownie java optional rust optional go optional details project structure the project is divided into two parts basic task and project task basic task basic tools to familiarize and integrate blockchain development e g erc standard oracle graph ipfs project task case studies of the mainstream defi nft dao and other crypto projects to enlighten developers to deep dive into dapp development we will organize study groups to discuss and study project together preparatory work ramp up developers new to dapp development are strongly encouraged to learn the basics of ethereum and solidity before embarking on formal development you can refer to basic knowledge preparation docs basic knowledge en md to ramp up development tool sharp tools make good work familiarize yourself with basic development tools refer to recommended development tools docs develop tools en md to view the current mainstream blockchain development tools recommended reading we have collected a list of classic blockchain related books to help developers know underlying philosophy behind blockchain sovereign individuals https www amazon sg sovereign individual mastering transition information dp 0684832720 chinese translation download https drive google com file d 1f113ccsskth 05s5gjcmobvqitufh j view usp sharing you can also follow public account unknown scripture https mp weixin qq com mp homepage biz mzu4ndqwmtc3mq hid 7 sn 124258360d0a530008a41ea32e7c2bf2 scene 1 devicetype android 29 version 28000b3b lang en nettype wifi ascene 7 session us gh 353f7f41a447 wx header 1 the network state https thenetworkstate com written by balaji srinivasan chinese translation download https nishino gitbook io wang luo guo jia the austrian school of thought is recommended hayek life introduction https mp weixin qq com s p1uzdt5baqvj3kl cniwkq series articles austrian economics school of thought for blockchain enthusiasts https mp weixin qq com mp appmsgalbum biz mzu0odk1mte1ma action getalbum album id 1986143111768489985 scene 173 from msgid 2247484102 from itemidx 1 count 3 nolastread 1 wechat redirect at the same time feel free to keep expanding this book list docs books en md cryptographic course we have collected some crypto courses from top universities and the ethereum community to help developers systematically understand blockchain and cryptocurrencies mit online course blockchain and money by prof gary gensler https ocw mit edu courses sloan school of management 15 s12 blockchain and money fall 2018 video lectures berkeley online course https berkeley defi github io f21 defi learning https defi learning org standford online course cs 251 bitcoin and cryptocurrencies https cs251 stanford edu syllabus html we have also organized a translation group to translate mit course blockchain and money into chinese and upload all the chinese note taking on our wechat official account welcome to dapp learning https mp weixin qq com mp appmsgalbum action getalbum biz mzawntaxmzmzma scene 1 album id 2241099480056119298 count 3 wechat redirect if you have other high quality course recommendations we hope you can make a suggestion and add it in our course repo recommendations for cryptographic courses docs crypto course en md basic tasks understand the basic tools and development knowledge of developing dapp through the following basic tasks for dapp architecture please refer to the article the difference between web2 0 and web3 0 applications from the architectural dimension https zhuanlan zhihu com p 414635679 utm source wechat session utm medium social utm oi 778564687968092160 s r 0 learn and run the first 20 tasks locally and upgrade to focus on project tasks you are welcome to pr improvements to existing tutorial projects or to create more tutorial projects task not start task processing task finish 01 deploy contract with web3 js basic 01 web3js deploy 02 create transaction with web3 js basic 02 web3js transaction 03 call erc20 contract with web3 js basic 03 web3js erc20 04 truffle basic 04 web3js truffle 05 call erc20 contract with ethers js basic 05 ethersjs erc20 06 test contract with waffle and ethers js basic 06 ethersjs waffle 07 hardhat basic 07 hardhat 08 graph basic 08 hardhat graph 09 react metamask basic 09 hardhat react 10 erc721 erc1155 ipfs basic 10 hardhat ipfs erc721 11 react express hardhat basic 11 react express hardhat 12 crowdfund basic 12 token crowdfund 13 decentralized exchange basic 13 decentralized exchange 14 chainlink api basic 14 chainlink price feed 15 nft blindbox chainlink vrf basic 15 nft blindbox chainlink vrf 16 nft auction exchange basic 16 nft auction exchange 17 wallet development basic 17 etherjs wallet develop 18 web3 py basic 18 web3py 19 brownie basic 19 brownie 20 flash loan basic 20 flash loan 21 aave uni lender basic 21 aave uni loan 22 zk snarkjs basic 22 zk snarkjs 23 erc865 erc875 basic 23 erc865 and erc875 24 upgradeable contract basic 24 upgradeable contract 25 multi sig wallet basic 25 multi sig wallet 26 quadratic vote gitcoin basic 26 quadratic vote 26gitcoin 27 arbitrum layer2 basic 27 arbitrum layer2 28 optimism layer2 basic 28 optimism layer2 29 polygon matic layer2 basic 29 polygon matic layer2 30 zksync layer2 basic 30 zksync layer2 31 starknet basic 31 starknet layer2 32 chainlink keeper basic 32 chainlink keeper 33 pooltogether basic 33 pooltogether 34 subgraph basic 34 subgraph 35 duneanalytics nansen basic 35 dune analytics nansen 36 zk rollup https github com rollupnc rollupnc 37 charm fi basic 37 charm fi 38 ether rust https github com tomusdrw rust web3 39 multicall basic 39 multicall 40 flashbots provider with ethers js basic 38 flashbots and eden 41 foundry basic 41 foundry readme md 42 merkle distributor airdrop basic 42 merkle distributor airdrop 43 ethereum virtual machine opcodes basic 43 evm 44 javascript cryptography https blog sessionstack com how javascript works cryptography how to deal with man in the middle mitm attacks bf8fc6be546c 45 ethereum2 0 basic 45 ethereum2 0 46 nft floor perps https www paradigm xyz 2021 08 floor perps 47 twamm time weighted average market maker https www paradigm xyz 2021 07 twamm 48 zk voting basic 48 zk voting 50 solidity security basic 50 solidity security 51 sniper https github com supercycled cake sniper git 52 governance https github com withtally safeguard 53 freelancer s smart contract basic 53 freelancer 54 cryptovoxels https zhuanlan zhihu com p 379249411 55 pbft https medium com loom network chinese e4 ba 86 e8 a7 a3 e5 8c ba e5 9d 97 e9 93 be e7 9a 84 e5 9f ba e6 9c ac e7 ac ac e4 b8 80 e9 83 a8 e5 88 86 e6 8b 9c e5 8d a0 e5 ba ad e5 ae b9 e9 94 99 byzantine fault tolerance 8a1912c311ba 56 ido https github com gnosis ido contracts 57 orbit model https github com orbit love orbit model 58 snapshot basic 40 snapshot 59 wagmi and nextjs basic 59 wagmi and nextjs 60 referral code https developers thundercore com docs referral contract 61 ens basic 61 ens 62 tenderly https dashboard tenderly co explorer 63 htlc crosschain basic 63 htlc crosschain 64 state channel https ethereum org en developers docs scaling state channels 65 zk nft https github com kevinz917 zk nft 66 kleros https kleros io 67 go ethereum code analysis basic 67 go ethereum code analysis readme md 68 config discord with collab land basic 68 config discord with collab land 69 decentralized otc https github com dotcpro 70 arweave file upload with bundlr client basic 70 arweave file upload with bundlr readme md 71 nym https myz1237 substack com p nymwhitepaper r uaq4w utm campaign post utm medium web utm source 72 unlock protocol https docs unlock protocol com unlock developers unlock platform 73 onchainnft https github com park city utah onchainnft 74 erc20 meta token https github com 0xsequence erc20 meta token 75 golang dapp basic 75 golang dapp 76 push protocol https docs epns io developers welcome to submit pull request add a new basic task or update the above task https github com dapp learning dao dapp learning issues new advanced task the preparatory work for developers with a certain foundation this part selects mainstream high quality projects for source code analysis and code review the project can be deployed to the test network and shared with the community as a basis large defi projects are complicated so we suggest to establish a study group to cooperate ie one for white paper one for the front end one for the contract and one for data presentation developers can initiate project research topic form groups and collaborate within the development community this section is recommended as a submodule defi advanced tasks the defi bibles will set you up with a good fundamental understanding of the defi system how to defi https store coingecko com collections frontpage products how to defi beginner how to defi advanced https store coingecko com collections frontpage products how to defi advanced defi learning roadmap trading lending derivatives you can refer to our study group s learning roadmap which is better with the video trading univ1 task13 univ2 univ3 curvev1 curvev2 lending aave compound liquity euler derivatives snx yfi perpetual opyn 01 uniswapv2 defi uniswap v2 readme md 02 uniswapv3 defi uniswap v3 readme md 03 curve defi curve readme md 04 compound defi compound readme md 05 aave https docs aave com portal 06 liquity defi liquity 07 euler defi euler readme md 08 snx https github com synthetixio pick up this task https github com dapp learning dao dapp learning issues new 09 yfi https yearn finance 10 perpetual protocol https www chainnews com articles 163436212237 htm 11 sushi https docs sushi com 12 opyn https v2 opyn co 13 alchemix https github com alchemix finance alchemix protocol 14 ampl https roninchow gitbook io ampleforth cn technology pick up this task https github com dapp learning dao dapp learning issues new 15 rai defi rai 16 dydx https dydx exchange pick up this task https github com dapp learning dao dapp learning issues new 17 index https mp weixin qq com s pxoy3g6aibhzruptjyowiw pick up this task https github com dapp learning dao dapp learning issues new 18 dodo trading api https dodoex github io docs zh docs tradeapi pick up this task https github com dapp learning dao dapp learning issues new 19 makerdao https zhuanlan zhihu com p 41889079 20 0x protocol defi 0x protocal readme md pick up this task https github com dapp learning dao dapp learning issues new 21 bancor https bancor network 22 set https www tokensets com 23 dhedge https docs dhedge org dhedge protocol managing on v2 24 element https app element fi fixedrates defi roadmap docs imgs defi roadmap png nft advanced tasks 01 opensea nft opensea readme md claim this task https github com dapp learning dao dapp learning issues new 02 aavegotchi https aavegotchi com claim this task https github com dapp learning dao dapp learning issues new 03 loot nft distribute nft loot nft readme md 04 rarible https docs rarible org overview union 05 zora https docs zora co 06 alchemy https www alchemy com nft api 07 infura https www infura io platform nft api dao advanced tasks 01 aragon dao aragon readme md 02 augur pick up this task https github com dapp learning dao dapp learning issues new 03 daohaus https daohaus club 04 daostack https daostack io pick up this task https github com dapp learning dao dapp learning issues new 05 gnosis https github com gnosis pick up this task https github com dapp learning dao dapp learning issues new crypto advanced tasks please read the book first graphic encryption technology https book douban com subject 26822106 item list 01 ecc crypto ecc 02 plonk crypto plonk 03 tornado https medium com taipei ethereum meetup tornado cash e5 af a6 e4 be 8b e8 a7 a3 e6 9e 90 eb84db35de04 04 zk snark https arxiv org pdf 1906 07221 pdf claim this task https github com dapp learning dao dapp learning issues new 05 js crypto https github com fireship io node crypto examples claim this task https github com dapp learning dao dapp learning issues new 06 mina https minaprotocol com 07 zeth https github com clearmatics zeth smart contract security 1 common safety tools slither https github com crytic slither mythril https github com consensys mythril securify https github com eth sri securify2 2 ctf training camp ethernaut https ethernaut openzeppelin com damn vulnerable defi https github com openzeppelin damn vulnerable defi blob master contracts damnvaluabletoken sol solution security damn vulnerable defi wp md paradigm ctf https github com paradigm operations paradigm ctf 2021 smart contract ctf https blockchain ctf securityinnovation com 3 safe development practices safety development practice of solidity https github com slowmist knowledge base blob master solidity security comprehensive list of known attack vectors and common anti patterns chinese md 4 integration of learning resources awesome blockchain security https github com xxxeyj awesome blockchain security immunefi https immunefi com learn cryptocurrency jobs websites feel like a career in the crypto industry the following websites fyi https cryptocurrencyjobs co https angel co jobs https www paradigm xyz opportunities https web3 career https portfoliojobs a16z com jobs markets crypto project ecology dapp learning has a series of derivative projects and joint maintenance projects refer to related projects docs relative projects en md learn more about the ecology of the dapp learning project guide to contribution interested in participating check out this doc and find out how you can be a member of us how to contribute docs dao en md frequently asked questions faq please refer to this link docs trouble shooting en md to get some answers on how to set up dev environment how to use the project and how to get tokens for testing etc donation wanted open sourced projects are not easy to maintain so we d love all kinds of donations dapp learning team follows dao s governance and all donations would be allocated to our community members as crypto rewards and or nfts based on their quality of contributions we have a gitcoin campaign to sustain the dapp learning efforts gitcoin grant address dapp learning gitcoin grant https gitcoin co grants 3414 dapp learning developer group 1 direct donation to our dev team s fund is also appreciated ethereum main network zksync arbitrum 0x1f7b953113f4dfcbf56a1688529cc812865840e1 we also have created multi signature wallets on polygon managed by our core contributors polygon multiple signature wallets https app safe global matic 0x2a6d09b3b11e5455a37f907f2ec885e0be704779 0x2a6d09b3b11e5455a37f907f2ec885e0be704779 sponsorship grants are managed under a multi sign up wallet by core contributor team the fund is available to all contributors for their stellar additions to the project we look forward to see your contributions soon cooperative partner br div align left a href https www ethereum cn img align top src docs imgs partners ecn logo png a nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp a href https www ethplanet org img align top src docs imgs partners ethplanet logo png a nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp a href https learnblockchain cn img align top src docs imgs partners learnblockchain logo png a div br div align left a href https thublockchain org img align top src docs imgs partners thuba logo png a nbsp nbsp nbsp nbsp nbsp nbsp a href img align top src docs imgs partners pku logo png a nbsp nbsp nbsp nbsp nbsp nbsp a href https btcu tech img align top src docs imgs partners btcu logo png a div br br sponsor partner shout out to the following organizations for their unconditional donations to us the open source project in no particular order br div align left a href https ethereum foundation img align top src docs imgs sponsor partners ethereum foundation logo png a nbsp nbsp nbsp nbsp nbsp nbsp a href https snzholding com img align top src docs imgs sponsor partners snz logo png a nbsp nbsp nbsp nbsp nbsp nbsp a href https www nervos org img align top src docs imgs sponsor partners nervos logo png a nbsp nbsp nbsp nbsp nbsp nbsp a href https t me planckeropencommunity img align top src docs imgs sponsor partners plancker logo png a div div align left a href https degate com img align top src docs imgs sponsor partners degate logo png a nbsp nbsp nbsp nbsp a href https loopring org img align top src docs imgs sponsor partners loopring logo png a nbsp nbsp nbsp nbsp a href https scroll io img align top src docs imgs sponsor partners scroll logo png a nbsp nbsp nbsp nbsp a href https www bing ventures com img align top src docs imgs sponsor partners bingventures logo png a div div align left a href https drklab net img align top src docs imgs sponsor partners drk lab logo png a nbsp nbsp a href https capital hashkey com en img align top src docs imgs sponsor partners hashkey logo png a nbsp nbsp a href https eth store w3eth io img align top src docs imgs sponsor partners ethstorage logo png a nbsp nbsp a href https bingx com en us img align top src docs imgs sponsor partners bingx logo png a div div align left a href https mapprotocol io img align top src docs imgs sponsor partners mapprotocol logo png a nbsp nbsp a href https www optimism io img align top src docs imgs sponsor partners op logo png a nbsp nbsp a href https minaprotocol com img align top src docs imgs sponsor partners mina logo png a nbsp nbsp div br contributors div align center h4 align center thanks to the contributors of dapp learning h4 a href https github com dapp learning dao dapp learning graphs contributors img src https contrib rocks image repo dapp learning dao dapp learning max 200 a div br disclaimer dapplearning is a non profit learning organization and not involved in any commercial events or endorsements for commercial projects | dapp ethereum blockchain | blockchain |
magento2-upward-connector | magento 2 upward connector module the magento 2 upward connector is a module for routing requests to upward php this module replaces the default magento frontend theme with a pwa studio storefront application pwa studio storefront deployments in the magento commerce cloud use this module to keep magento and storefront code on the same server installation the magento 2 upward connector module is part of the magento cloud deployment steps in the official pwa studio docs configuration the magento 2 upward connector has additional settings that can be configured in the admin area under stores configuration general web upward pwa configuration general configuration these are the configurations for the upward process itself upward config file this configuration is the location of the upward configuration file for the upward php server this module adds a new directive to the env php to securely set the path to the upward yaml file php downloadable domains new configuration point pwa path default default var www html pwa dist upward yml website website code var www html anotherpwa dist upward yml can point a website to a different installation store store code blank string or false to serve default magento storefront for ease of use this module provides a new command for setting the path shell set the default scope to an empty string will serve base magento store front bin magento pwa upward set set the website with code website code to var www html pwa dist upward yml bin magento pwa upward set path var www html pwa dist upward yml scopetype website scopecode website code set the website with code website code to an empty string will serve base magento store front bin magento pwa upward set scopetype website scopecode website code set the website with code store code to var www html pwa dist upward yml bin magento pwa upward set path var www html pwa dist upward yml scopetype store scopecode store code you can use bin magento store list or bin magento store website list to easily get the store website code for configuration you may use a path relative to your web root or an absolute path for the value of this configuration relative pwa dist upward yml absolute var www html pwa dist upward yml if you have previously configured the upward yaml path using the config set command or environment variables it will continue to work as a fallback so long as no default has been set as per the example above the configuration works the same way normal store configurations work it falls back from store view website global default trying to serve the more specific available scope first front name allowlist this configuration allows you to specify a line separated list of routes to forward to the default magento theme example text contact privacy policy cookie restriction mode with this example when a visitor navigates to either magento store url contact or magento store url privacy policy cookie restriction mode they will land on a page rendered by magento instead of the storefront application prerender io configuration prerender io support in the upward connector module allows your site to send prerendered static html to search bots a middleware layer checks each request to see if it comes from a crawler and if allowed sends it to the prerender service these configuration entries let you configure which pages to send to prerender io to serve the static html versions of that page if a page is not configured for prerendering the request continues using the normal server routes configuration description example enable prerender for search bots this enables prerender functionality for this store view prerender url url of the prerender service https service prerender io prerender io token token to use for the prenderer io hosted service crawler user agents line break separated list of keywords to detect the crawler in the user agent request header blocked list resources that will not be sent for prerendering use as a wildcard character js cart allowed list explicitly allowed resources to be sent for prerendering if empty all resources are allowed testing prerendered pages to see how a crawler sees a prerendered page set your browser s user agent to googlebot and visit your url you can also run this on the command line and change the sample url to your storefront s url sh curl a googlebot https www example com page html to configure prerender locally for testing purposes see https docs prerender io test it troubleshooting partial rendered pages there is no way to tell when a pwa page fully loads for prerendering it is possible to force prerender to wait for a predefined timeout before setting the window prerenderready flag add the following to the runtime script js window prerenderready false settimeout function window prerenderready true 1000 15 for more information see https docs prerender io test it service worker note avoid sharing the same hostname between your pwa studio storefront and the magento 2 admin backend this causes the storefront service worker to intercept backend requests when you have both the storefront and admin tabs open at the same time on your browser if you cannot avoid sharing the hostname access one service at a time or use a private browsing session per service upward php https github com magento upward php magento cloud deployment http pwastudio io tutorials cloud deploy prerender io https docs prerender io system specific best practices https devdocs magento com guides v2 4 config guide prod config reference var name html | front_end |
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car-rental-backend-api_tdd | bcr backend api test driven development deployment challenge this project is an individual challenge to build unit and integration tests from a given express backend api project https github com erickyudha car rental backend api raw and deploying this app using railway app railway app unit and integration tests for this project is built using jest and supertest test coverage details can be seen here test coverage styling for this javascript project is enforced using eslint google javascript style guide https github com google eslint config google this project is made as part of binar academy fullstack web development course live application this application is currently deployed using railway app railway app you can access this application on https erick rental up railway app https erick rental up railway app information about server routes and documentation can be seen here routes and documentation running local app to run this application in your computer you can follow these steps below setup local server and database npm install run this command to install all dependencies needed by this project npm run db setup after that run this command to setup database with sequelize remember to setup env file on this project first with your postgres database data you can follow this example file here env example remember to have your postgres database installed and running first run this database setup command twice with different node env settings in env file 1 node env development this is the default setting unit tests is using database in this environment 2 node env test integration tests is using database in this environment this have to be done to ensure both unit and integration tests working correctly running server npm start run this command to start express server normally to run the server in development mode use this command instead npm run develop to run both unit and integration tests use this command npm test routes documentation and test coverage routes and documentation documentation about api is available here route default local link live link documentation localhost 8000 documentation https erick rental up railway app documentation default admin account data is available and can be changed in local on config admin js config admin js with this as default settings name mr admin email admin binar co id password admin test coverage unit and integration tests coverage of this project is 97 7 details can be seen on this image below coverage test details docs coverage test png coverage test console docs coverage test console png | backend-api eslint express integration-testing jest nodejs openapi3 railway-app supertest test-driven-development unit-testing | server |
React-Tec | react react route | server |
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unfort | project status august 2017 project abandoned fusebox https github com fuse box fuse box and pundle https github com steelbrain pundle should be considered as alternatives november 2016 on hiatus as i take a break from open source work june 2016 currently midway through an exploratory rewrite the last stable and functional release is https github com markfinger unfort tree v1 3 0 unfort a build tool for the web that prioritises performance during development fundamentally this project is a greenfield reimplementation of a subset of webpack s features does some novel stuff hot swaps in milliseconds regardless of the codebase size persistent caching to optimize build time live bindings that automatically update module imports during hot swaps does some standard stuff built in support for js json css and binary image font etc files exposes a babel postcss pipeline by default but happily accepts overrides some stuff that i m currently using it for replacing webpack in development environments enabling a repl like experience for prototyping providing asset hot swaps when hacking on non js systems note this is both an experimental and personal project the docs are intentionally high level as changes to the api are frequent and often breaking you probably shouldn t use this unless you re happy to read code and hack on stuff some of the write ups are a bit hand wavy and simplified so if you ve got any questions feel free to open an issue and ask documentation installation installation design goals design goals background background performance wins compared to webpack performance wins compared to webpack no bundling no bundling parsing and code generation parsing and code generation initial builds initial builds performance losses compared to webpack performance losses compared to webpack reflections reflections worker processes worker processes reuse of asts reuse of asts persistent caching persistent caching bootstrap runtime bootstrap runtime hot runtime hot runtime live bindings live bindings module hot api modulehot api module hot accept modulehotaccept module hot changes modulehotchanges module hot exit modulehotexit module hot enter modulehotenter configuring the hot runtime configuring the hot runtime the build process at a high level the build process at a high level the pipeline the pipeline development notes development notes status status scripts scripts related packages related packages installation npm install save unfort design goals aim for rapid feedback loops during development changes should be applied in milliseconds regardless of the codebase size enable a repl like experience from the comfort of a text editor improve build times with persistent caching write the expensive data to disk repeated builds should reuse the data cache invalidation should be smart but when it fails allow all the data to be easily nuked code over configuration provide a minimal set of options for hard coded wiring expose the entire pipeline and allow any part to be overridden enable experimentation support for modern tooling out of the box ship with support for babel and postcss support for the most common file formats support js json and css assume all other formats are plain text or binary and can be streamed from disk a focused codebase reduce bloat and complexity by only providing support for the simple and common use case things to explicitly avoid abstractions config files clis plugins loaders etc make the most minimal amount of abstractions necessary for the common use case whenever possible push boilerplate into user space avoid one liners support for production environments production environments require an entirely different set of features from a development environment supporting the needs of both is well outside of scope just use webpack or browserify support for tool x or file format y integrating other tooling or file formats should be left entirely up to the user support older versions of x aim to support evergreen browsers and the latest version of node background webpack and browserify are pretty amazing when you get started on a project but performance tends to drop sharply as your codebase grows and incremental builds become a pain point i ve previously tried exploring https github com markfinger webpack build improvements for webpack s performance with some limited success hopefully this project s research and discoveries will enable improvements to the experience provided by comparable build tools performance wins compared to webpack no bundling probably the biggest performance win that unfort has over webpack is a lack of a bundling phase unfort skips the need for a bundle by constructing simple shims that allow the entire codebase to be streamed directly out of memory and into the browser a single browser global is used by unfort to expose a module system with hooks for modules to register themselves this enables modules to be simply appended to a document in an execution context such as a script element or an eval statement the module system also exposes hooks to execute from any entry point this module system while somewhat hacky allows unfort to avoid the entire cpu io and memory intensive bundling phase without a bundling phase incremental rebuilds become much faster as we only need to recompile single files rather than the entire codebase parsing and code generation on the parsing side unfort s faster when handling files that are transformed with babel as it re uses the ast for dependency analysis it also avoids the multiple code generation phases that webpack implicitly requires when using loaders initial builds unlike webpack s slow initial builds unfort s reuse of cached data can enable much faster builds after a small period of reading in and validating data the build will complete as unfort stores data on a per file basis initial builds with only a partial set of valid data will still complete in a fraction of the usual time performance losses compared to webpack on larger projects unfort s initial builds without cached data can be somewhat slower i suspect this would be a combination of parsing with babylon acorn is much faster but would require us to expand our infrastructure to handle more ast formats by standardising on babel s ast we get a lot of things for free io reads for missing data in the file cache could probably remove these as we d know ahead of time that there is no data babel generator s overhead for rendering code and source maps we re not manipulating the majority of files so we could probably just remove babel generator and generate the source maps by hand in general i suspect there will be still be a lot of low hanging fruit in this project as it hasn t been profiled https github com markfinger profiling node for some time reflections coming into the project i had assumed that reimplementing webpack with a combination of worker processes re use of asts and persistent caching would provide significant wins as is usual some of these assumptions were correct and some proved incorrect worker processes i initially started this project with the intent to use worker processes to run jobs in parallel after trying them on a couple of smaller projects i realized that they had a negative impact on performance and removed them from the codebase nonetheless i ve kept musing over them and here are some notes in case anyone else wants to implement something with them there s a large cost associated with transporting data in and out of workers so you ll probably want to build your pipeline such that each file is handled by a specific worker that doesn t require much context or interactions from the master process there s a large cost to spawning child processes node s pretty fast to boot but it s not so fast to read in large amounts of modules you d only want workers if you had build times greater than 15 seconds where the spawn overhead is justified by the performance improvements of parallel jobs spawn workers early so that you re job requests aren t blocked while the worker process boots and initializes spreading jobs around different processes limits the ability of v8 s jit to optimize code accurately you might want to try limiting the number of workers and or using particular workers for particular code paths debugging workers is a pain if you re going to implement a worker pipeline make sure that everything goes through an interface which enables you to force execution within the master process by consolidating execution within the foreground process it improves your ability to introspect in particular it enables you to use node s debugger reuse of asts webpack s loader pipeline works on a low level primitive strings of code this becomes a performance issue when each loader needs to individually parse the code manipulate the ast and then generate more code and source maps once each loader has been applied webpack then parses the code again and starts all of its magic while a lot of projects will only use a single loader for js files typically babel loader the re parsing is still a performance issue to get around this we simply re use the ast that babel generates during transformation so that we only need to parse files once while preserving the ability to introspect dependency identifiers in cases where we are not applying babel s transforms we simply use babel s parser babylon directly to generate an ast consolidating on babel s pipeline ensures that we only need a single code path to handle dependency analysis of js files looking into the future hopefully all parsers and tools will converge on the estree spec this would enable build tools to simply pass asts around persistent caching persistent caching has proven to work quite well it adds a small overhead to initial builds but massively reduces the total time when repeating a build for cache read and writes unfort defaults to kv cache https github com markfinger kv cache which enables us to store each file s data in separate files the primary advantage of multiple files is that it removes any overhead associated with reading and discarding stale data a downside is that io overhead increases with the number of files that are used in the build if io overhead ever becomes too much of an issue it may be worthwhile investigating a proper db such as sqlite as a replacement store our pipeline generates cache keys that are composed of the file s path and modified time for textual files we also generate a murmur hash of the content so that we can get around os limitations on file system accuracy cache invalidation can be a pain to get around it we use env hash https github com markfinger env hash to namespace all cached data during the boot process the namespace reflects key factors in the environment and enables us to discard cached data when a new library is installed when changes are made to a build script or when environmental files such as package json or babelrc are changed immutable data internally unfort makes heavy use of immutable data structures provided by the immutable package these structures provide a number of key benefits we can easily determine deep equality enabling us to drop out of build phases when the graph no longer equals what we started with we can orchestrate complicated asynchronous flows with the simple understanding that sub systems will never be able to mutate our data while i ve used immutable data in a couple of different projects unfort has been at a much larger scale the experience has been extremely positive there is a bit more boilerplate but the safety guarantees make it extremely trivial to reason about what something can and can t do if anyone is considering tooling for a build tool i would strongly recommend starting with immutable data and only dropping to low level js objects when performance is required the record class in immutable is particularly useful as it allows you to expose named properties so that you can use it as a drop in replacement for read only objects bootstrap runtime the bootstrap runtime provides a module system that mimics the commonjs system used by node it exposes a global variable modules that allows modules to be injected into a registry and executed the bootstrap s api js an object used as the runtime s registry of modules modules modules injects a module into the runtime modules definemodule mod extends the module object with properties used for bookkeeping modules extendmodule mod invokes the specified module modules executemodule name returns the values that a module exported modules getmoduleexports mod builds the require function for a specific module modules buildrequire mod note the bootstrap is designed to be monkey patched the hooks exposed are intended to enable experimental features during runtime hot runtime the hot runtime monkey patches the bootstrap to add support for hot swapping of assets live bindings to provide an improved development workflow the hot runtime slips proxies between module bindings so that imports are automatically updated when hot swaps occur in effect updates to one part of a codebase immediately change the entire system s behaviour mindful of the more dynamic system that live bindings enable there are a number of methods available on the module hot object which provide more control over module life cycles during hot swaps module hot api to hook into the hot swap system js assets are provided with a module hot api that loosely resembles webpack s hmr note as css and json files should be considered stateless they are automatically swapped when changes occur module hot accept allows you to denote that a file can be hot swapped js module hot accept accepts an optional callback that will be executed after the module has been removed js module hot accept module hot changes allows you to specify a callback that will be triggered each time that the hot swap phase completes this enables you to re render a tree or recalculate data using proxy bindings that use the most recent code js function render module hot changes render note if the module that specified the callback is one of the modules that is swapped the changes callback will not be called module hot exit allows you to pass data from one version of a module to the next when a module is about to be swapped the callback passed to module hot exit will be executed and the return value will be stored for the next version js let state module hot exit state note module hot exit automatically accepts hot swaps so you don t need to call module hot accept as well module hot enter allows you to read in data from previous versions of the module when a new version of a module is being executed callbacks passed to module hot enter will be synchronously called with one argument the value returned from the previous version s module hot exit callback js let state module hot enter prevstate state prevstate if state state createstate note callbacks passed to module hot enter will only be called when a new version is entering they will not be called when a module first initializes configuring the hot runtime defaults js silent hot runtime false socket io url undefined socket io options undefined live bindings es modules only true you can override them by binding to the browser global unfort for example html script window unfort socket io url http 127 0 0 1 3000 script the build process at a high level given a set of files that represent entry points to a codebase the dependency graph will trace the graph by recursively asking the pipeline for the resolved dependencies of each file encountered for the pipeline to produce a list of resolved dependencies the following steps will typically occur read the file into memory produce an ast by parsing the file apply transforms to the ast eg babel or postcss plugins traverse the ast and look for dependency identifiers inspect the file system and resolve each identifier to a specific file as dependencies are resolved the graph creates nodes and edges that represent the connections between files once all nodes have been identified and traced the graph emits a signal that indicates the end of the tracing process and we enter the code generation phase code generation involves a number of processes that include rendering asts to code generating source maps generating module shims that enable the code to function with unfort s bootstrap the completion of the code generation signals the end of the build at which point we can start sending signals to the front end to update its assets the pipeline unfort s pipeline mostly revolves around a record store https github com markfinger record store instance that enables us to define a collection of jobs that can be applied to a file to produce some result the record store is asynchronous and makes heavy use of promises asynchronous jobs enable us to split up cpu intensive tasks so that we avoid blocking node s event loop promises enable the record store to both memoize a job s result and merge job requests together so we only generate data once per file if you want to interact override or tinker with the pipeline you can use the extendjobs hook the current list of jobs that are used are in src jobs js src jobs js if you need extra clarity you can either check the job tests in src tests jobs js src tests jobs js or check how the jobs are used the other parts of the system src for example to remove source map annotations from all files js const unfort require unfort const build unfort createbuild build extendjobs defaults return sourcemapannotation ref store return null build start if you wanted to override the cache key for files in a particular directory js build extendjobs defaults return cachekey ref store if ref name indexof some dir 0 return some cache key else return defaults cachekey ref store if you want to add postcss plugins for specific files js build extendjobs defaults return postcssplugins ref store if ref name indexof some dir 0 return an array of plugins else return defaults postcssplugins ref store development notes status npm version https badge fury io js unfort svg https badge fury io js unfort build status https travis ci org markfinger unfort svg branch master https travis ci org markfinger unfort codecov io https codecov io github markfinger unfort coverage svg branch master https codecov io github markfinger unfort branch master dependency status https david dm org markfinger unfort svg https david dm org markfinger unfort devdependency status https david dm org markfinger unfort dev status svg https david dm org markfinger unfort info devdependencies scripts the following commands are available to interact with unfort s code base npm run build builds the project into a form that node can interpret once node reaches parity with the es2015 spec the build process will be removed npm test runs the test suite with source maps npm run test runs the test suite without source maps sometimes the stack traces get a bit messed up with the source maps so this can help to debug npm run lint runs eslint over the project npm run coverage runs the test suite and generates a coverage report in the coverage directory related packages these packages used to live in unfort but have been externalized you may find it useful to read or improve their codebases cyclic dependency graph https github com markfinger cyclic dependency graph provides the wiring to recursively build a graph of the codebase record store https github com markfinger record store wires up our pipeline and provides memoization and asynchronous resolution of jobs kv cache https github com markfinger kv cache a persistent cache used to reduce the time spent on repeated builds env hash https github com markfinger env hash enables cache busting when packages or specific files are changed babylon ast dependencies https github com markfinger babylon ast dependencies extracts dependency identifiers from babylon asts postcss ast dependencies https github com markfinger postcss ast dependencies extracts dependency identifiers from postcss asts | front_end |
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csharp | enterprise web development c portal can be found here https hogent web github io csharp goals mimic how web applications are written in a company specific context practical design anti patterns best practises deployment architectural guidelines integration testing exercises drillexercises as much as possible fullblown exercise they can later use for their own project technology stack backend asp net 6 0 rest api background services fontend blazor spa pwa storage ef core dapper azure blobstorage optional deployment azure software net 6 0 visual studio code with the following extentions c https marketplace visualstudio com items itemname ms dotnettools csharp nuget gallery https marketplace visualstudio com items itemname patcx vscode nuget gallery azure static web apps https marketplace visualstudio com items itemname ms azuretools vscode azurestaticwebapps asp net core switcher https marketplace visualstudio com items itemname adrianwilczynski asp net core switcher net interactive notebooks https marketplace visualstudio com items itemname ms dotnettools dotnet interactive vscode azure data studio gitkraken books microservices architecture e book https docs microsoft com nl be dotnet architecture microservices cloud native https docs microsoft com nl be dotnet architecture cloud native blazor in action https www manning com books blazor in action tutorials net tutorial your first microservice https dotnet microsoft com learn aspnet microservice tutorial intro blazor blazing pizza https github com dotnet presentations blazor workshop skillset overview asp net 2022 https user images githubusercontent com 10981553 169042904 88d8b709 4a74 4ca0 9cd9 58970df511aa jpeg | front_end |
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adience_align | adience align this project provides alignment tools for faces to be used as a preprocessing step before computer vision tasks on face images homepage for the project http www openu ac il home hassner adience see the test for example usage specificaly the pipeline test shows how to use the full process just remember to change the location of the model files to where you stor the xml and other model files installation in the root of the repository python setup py sdist sudo pip install dist adience version number tar gz copyright contact eran eidinger eran adience com roee enbar roee e adience com see the license txt file basically an mit license with any publication that uses this alignment code or it s derivative we kindly ask that you cite the paper e eidinger r enbar and t hassner age and gender estimation of unfiltered faces transactions on information forensics and security ieee tifs special issue on face recognition in the wild for more details please see http www openu ac il home hassner adience publications html compilation notes 1 the shared objects were compiled for linux 64bit on ubuntu 13 10 2 the so uses boost 1 53 so make sure it is installed on your system and available at usr local or use ld library path yourpath to point it at the right place alternatively place libboost system so 1 53 0 and libboost filesystem so 1 53 0 at the adiencealign resources subfolder 3 for landmarks detection we use the file libpartsbaseddetector so compiled from the project https github com wg perception partsbaseddetector you can either compile it yourselves or use the version under resources subfolder compiled with boost 1 53 on a linux ubuntu 14 04 machine we will release the source code for the shared object in the near future running the test 1 run clear test sh to delete results of old tests 2 run python test pipeline py 3 results are in the outputs subfolder | ai |
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CourseraMachineLearning | machine learning by prof andrew ng star2 star2 star2 star2 star this page continas all my coursera machine learning courses and resources book by prof andrew ng http www andrewng org man table of contents 1 breif intro breif intro 2 video lectures index video lectures index 3 programming exercise tutorials programming exercise tutorials 4 programming exercise test cases programming exercise test cases 5 useful resources useful resources 6 schedule schedule 7 extra information extra information 8 online e books online e books 9 aditional information aditional information breif intro the most of the course talking about hypothesis function and minimising cost funtions hypothesis a hypothesis is a certain function that we believe or hope is similar to the true function the target function that we want to model in context of email spam classification it would be the rule we came up with that allows us to separate spam from non spam emails cost function the cost function or sum of squeared errors sse is a measure of how far away our hypothesis is from the optimal hypothesis the closer our hypothesis matches the training examples the smaller the value of the cost function theoretically we would like j 0 gradient descent gradient descent is an iterative minimization method the gradient of the error function always shows in the direction of the steepest ascent of the error function thus we can start with a random weight vector and subsequently follow the negative gradient using a learning rate alpha differnce between cost function and gradient descent functions table colgroup col width 50 col width 50 colgroup thead tr class header th cost function th th gradient descent th tr thead tbody tr valign top td markdown span pre code function j computecostmulti x y theta m length y number of training examples j 0 predictions x theta sqerrors predictions y 2 j 1 2 m sum sqerrors end code pre td td markdown span pre code function theta j history gradientdescentmulti x y theta alpha num iters m length y number of training examples j history zeros num iters 1 for iter 1 num iters predictions x theta updates x predictions y theta theta alpha 1 m updates j history iter computecostmulti x y theta end end code pre td tr tbody table bias and variance when we discuss prediction models prediction errors can be decomposed into two main subcomponents we care about error due to bias and error due to variance there is a tradeoff between a model s ability to minimize bias and variance understanding these two types of error can help us diagnose model results and avoid the mistake of over or under fitting source http scott fortmann roe com docs biasvariance html hypotheis and cost function table algorithem hypothesis function cost function gradient descent linear regression linear regression hypothesis extra img linear hypothesis gif linear regression cost extra img linear cost gif linear regression with multiple variables linear regression hypothesis extra img linear hypothesis gif linear regression cost extra img linear cost gif linear regression multi var gradient extra img linear multi var gradient descent gif logistic regression logistic regression hypothesis extra img logistic hypothesis gif logistic regression cost extra img logistic cost gif logistic regression gradient extra img logistic gradient gif logistic regression with multiple variable logistic regression multi var cost extra img logistic multi var cost gif logistic regression multi var gradient extra img logistic multi var gradient gif nural networks nural cost extra img nural cost gif regression with pictures linear regression http adit io posts 2016 02 20 linear regression in pictures html logistic regression http adit io posts 2016 03 13 logistic regression html non linear classification video lectures index https class coursera org ml lecture preview https class coursera org ml lecture preview programming exercise tutorials https www coursera org learn machine learning discussions all threads m0zdvjsreewddiiac9pdda https www coursera org learn machine learning discussions all threads m0zdvjsreewddiiac9pdda programming exercise test cases https www coursera org learn machine learning discussions all threads 0sxuftsreewpaciacw4g5w https www coursera org learn machine learning discussions all threads 0sxuftsreewpaciacw4g5w useful resources https www coursera org learn machine learning resources nry2g https www coursera org learn machine learning resources nry2g schedule week 1 due 07 16 17 welcome pdf home week 1 lectures pdf lecture1 pdf ppt home week 1 lectures ppt lecture1 pptx linear regression with one variable pdf home week 1 lectures pdf lecture2 pdf ppt home week 1 lectures ppt lecture2 pptx linear algebra review optional pdf home week 1 lectures pdf lecture3 pdf ppt home week 1 lectures ppt lecture3 pptx lecture notes home week 1 lectures notes pdf errata home week 1 errata pdf week 2 due 07 23 17 linear regression with multiple variables pdf home week 2 lectures pdf lecture4 pdf ppt home week 2 lectures ppt lecture4 pptx octave tutorial pdf home week 2 lectures pdf lecture5 pdf programming exercise 1 linear regression pdf home week 2 exercises machine learning ex1 ex1 pdf problem home week 2 exercises machine learning ex1 zip solution home week 2 exercises machine learning ex1 ex1 lecture notes home week 2 lectures notes pdf errata home week 2 errata pdf program exercise notes home week 2 exercises programming 20ex 1 pdf week 3 due 07 30 17 logistic regression pdf home week 3 lectures pdf lecture6 pdf ppt home week 3 lectures ppt lecture6 pptx regularization pdf home week 3 lectures pdf lecture7 pdf ppt home week 3 lectures ppt lecture7 pptx programming exercise 2 logistic regression pdf home week 3 exercises machine learning ex2 ex2 pdf problem home week 3 exercises machine learning ex2 zip solution home week 3 exercises machine learning ex2 ex2 lecture notes home week 3 lectures notes pdf errata home week 3 errata pdf program exercise notes home week 3 exercises programming 20ex 2 pdf week 4 due 08 06 17 neural networks representation pdf home week 4 lectures pdf lecture8 pdf ppt home week 4 lectures ppt lecture8 pptx programming exercise 3 multi class classification and neural networks pdf home week 4 exercises machine learning ex3 ex3 pdf problem home week 4 exercises machine learning ex3 zip solution home week 4 exercises machine learning ex3 ex3 lecture notes home week 4 lectures notes pdf errata home week 4 errata pdf program exercise notes home week 4 exercises programming 20ex 3 pdf week 5 due 08 13 17 neural networks learning pdf home week 5 lectures pdf lecture9 pdf ppt home week 5 lectures ppt lecture9 pptx programming exercise 4 neural networks learning pdf home week 5 exercises machine learning ex4 ex4 pdf problem home week 5 exercises machine learning ex4 zip solution home week 5 exercises machine learning ex4 ex4 lecture notes home week 5 lectures notes pdf errata home week 5 errata pdf program exercise notes home week 4 exercises programming 20ex 4 pdf week 6 due 08 20 17 advice for applying machine learning pdf home week 6 lectures pdf lecture10 pdf ppt home week 6 lectures ppt lecture10 pptx machine learning system design pdf home week 6 lectures pdf lecture11 pdf ppt home week 6 lectures ppt lecture11 pptx programming exercise 5 regularized linear regression and bias v s variance pdf home week 6 exercises machine learning ex5 ex5 pdf problem home week 6 exercises machine learning ex5 zip solution home week 6 exercises machine learning ex5 ex5 lecture notes home week 6 lectures notes pdf errata home week 6 errata pdf program exercise notes home week 6 exercises programming 20ex 5 pdf week 7 due 08 27 17 support vector machines pdf home week 7 lectures pdf lecture12 pdf ppt home week 7 lectures ppt lecture12 pptx programming exercise 6 support vector machines pdf home week 7 exercises machine learning ex6 ex6 pdf problem home week 7 exercises machine learning ex6 zip solution home week 7 exercises machine learning ex6 ex6 lecture notes home week 7 lectures notes pdf errata home week 7 errata pdf program exercise notes home week 7 exercises programming 20ex 6 pdf week 8 due 09 03 17 clustering pdf home week 8 lectures pdf lecture13 pdf ppt home week 8 lectures ppt lecture13 ppt dimensionality reduction pdf home week 8 lectures pdf lecture14 pdf ppt home week 8 lectures ppt lecture14 ppt programming exercise 7 k means clustering and principal component analysis pdf home week 8 exercises machine learning ex7 ex7 pdf problems home week 8 exercises machine learning ex7 zip solution home week 8 exercises machine learning ex7 ex7 lecture notes home week 8 lectures notes pdf errata home week 8 errata pdf program exercise notes home week 8 exercises programming 20ex 7 pdf week 9 due 09 10 17 anomaly detection pdf home week 9 lectures pdf lecture15 pdf ppt home week 9 lectures ppt lecture15 ppt recommender systems pdf home week 9 lectures pdf lecture16 pdf ppt home week 9 lectures ppt lecture16 ppt programming exercise 8 anomaly detection and recommender systems pdf home week 9 exercises machine learning ex8 ex8 pdf problems home week 9 exercises machine learning ex8 zip solution home week 9 exercises machine learning ex8 ex8 lecture notes home week 9 lectures notes pdf errata home week 9 errata pdf program exercise notes home week 9 exercises programming 20ex 8 pdf week 10 due 09 17 17 large scale machine learning pdf home week 10 lectures pdf lecture17 pdf ppt home week 10 lectures ppt lecture17 ppt lecture notes home week 10 lectures notes pdf week 11 due 09 24 17 application example photo ocr pdf home week 11 lectures pdf lecture18 pdf ppt home week 11 lectures ppt lecture18 ppt extra information linear algebra review and reference zico kolter extra cs229 linalg pdf cs229 lecture notes extra cs229 notes1 pdf cs229 problems extra cs229 prob pdf financial time series forecasting with machine learning techniques extra machine 20learning 20stocks pdf octave examples extra octave session m online e books introduction to machine learning by nils j nilsson robotics stanford edu nilsson mlbook pdf introduction to machine learning by alex smola and s v n vishwanathan http alex smola org drafts thebook pdf introduction to data science by jeffrey stanton http surface syr edu cgi viewcontent cgi article 1165 context istpub bayesian reasoning and machine learning by david barber http web4 cs ucl ac uk staff d barber pmwiki pmwiki php n brml online understanding machine learning 2014 by shai shalev shwartz and shai ben david http www cs huji ac il shais understandingmachinelearning copy html elements of statistical learning by hastie tibshirani and friedman http statweb stanford edu tibs elemstatlearn pattern recognition and machine learning by christopher m bishop http users isr ist utl pt wurmd livros school bishop 20 20pattern 20recognition 20and 20machine 20learning 20 20springer 20 202006 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InformationProtectionTechnologiesFrontend | this is a next js https nextjs org project bootstrapped with create next app https github com vercel next js tree canary packages create next app getting started first run the development server bash npm run dev or yarn dev or pnpm dev or bun dev open http localhost 3000 http localhost 3000 with your browser to see the result you can start editing the page by modifying app page js the page auto updates as you edit the file this project uses next font https nextjs org docs basic features font optimization to automatically optimize and load inter a custom google font learn more to learn more about next js take a look at the following resources next js documentation https nextjs org docs learn about next js features and api learn next js https nextjs org learn an interactive next js tutorial you can check out the next js github repository https github com vercel next js your feedback and contributions are welcome deploy on vercel the easiest way to deploy your next js app is to use the vercel platform https vercel com new utm medium default template filter next js utm source create next app utm campaign create next app readme from the creators of next js check out our next js deployment documentation https nextjs org docs deployment for more details | server |
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ee046746-computer-vision | ee046746 computer vision h1 align center br technion ee 046746 computer vision br img src https raw githubusercontent com taldatech ee046746 computer vision master assets tut track anim gif height 200 h1 p align center a href https taldatech github io tal daniel a a href https eliasnehme github io elias nehme a a href https github com dahliau dalia urbach a a href https webee technion ac il people anat levin anat levin a p jupyter notebook tutorials for the technion s ee 046746 computer vision course previous semesters a href https github com taldatech ee046746 computer vision tree spring20 spring 2020 a h4 align center a href https colab research google com github taldatech ee046746 computer vision img src https colab research google com assets colab badge svg alt open in colab a a href https nbviewer jupyter org github taldatech ee046746 computer vision tree master img src https raw githubusercontent com taldatech ee046211 deep learning main assets nbviewer badge svg alt open in nbviewer a a href https mybinder org v2 gh taldatech ee046746 computer vision master img src https mybinder org badge logo svg alt open in binder a h4 ee046746 computer vision ee046746 computer vision agenda agenda running the notebooks running the notebooks running online running online running locally running locally installation instructions installation instructions libraries to install libraries to install agenda file topics covered setting up the working environment pdf guide for installing anaconda locally with python 3 and pytorch integration with pycharm and using gpu on google colab ee046746 tut 01 intro image processing python ipynb pdf python basics numpy matplotlib opencv basics reading and writing images basic image manipulations image processing 101 thresholding blurring ee046746 tut 01 2 deep learning pytorch basics ipynb pdf deep learning and pytorch basics mnist fashion mnist multi layer perceptron mlp fully connected fc ee046746 tut 02 edge and line detection ipynb pdf edge and line detection canny hough transform ransac and scnn ee046746 tut 03 04 convolutional neural networks ipynb pdf 2d convolution cross corelation convolution based classification convolutional neural networks cnns regularization and overfitting dropout data augmentation cifar 10 dataset visualizing filters the history of cnns applications of cnns the problems with cnns adversarial attacks poor generalization fairness undesirable biases ee046746 tut 03 04 appndx visualizing cnn filters ipynb pdf appendix how to visualize cnn filters and filter activations given image with pytorch ee046746 tut 05 deep semantic segmentation ipynb pdf semantic segmentation intersection over union iou average precision ap pascal visual object classes common objects in context coco fully convolutional network fcn up convolution transposed convolution skip connections pyramid scene parsing network pspnet 1x1 convolution mask r cnn deeplab atrous convolution conditional random field crf ee046746 tut 06 generative adversarial networks gan ipynb pdf generative adversarial network gan explicit implicit density estimation nash equilibrium mode collapse vanishing diminishing gradient conditional gans wgan ebgan began tips for training gans pix2pix cyclegan ee046746 tut 07 alignment ipynb pdf feature matching parametric transformations image warping image blending panorama stitching kornia ee046746 tut 08 deep uncertainty ipynb pdf need for uncertainty epistemic and aleatoric uncertainty logelikihood modelling bayesian neural networks dropout evidental deep learning ee046746 tut 09 deep object detection ipynb pdf deep object detection localization sliding windows iou ap region based convolutional neural networks r cnn family fast er r cnn selective search non maximum supression nms region of interest pooling layer roi region proposal network rpn anchor boxes detectron2 you only look once yolo family yolo v1 v4 single shot multibox detection ssd ee046746 tut 10 geometry review ipynb pdf camera models camera matrix intrinsic and extrinsic parameters distortion models camera calibration homography edge cases epipolar geometry essential fundamental matrix 8 point algorithm ee046746 tut 11 stereo imaging ipynb pdf triangulation disparity maps stereo concept stereo rectification stereo matching depth smoothing point cloud visualization ee046746 tut 12 3d deep learning ipynb pdf time of flight cameras 3d representations voxnet multi view cnns point clouds pointnet pointnet 3d generative models ee046746 tut 13 deep object tracking ipynb pdf object detection vs object tracking detection failure cases motion model visual appearance model detection based vs detection free offline vs online tracking generic object tracking using regression networks goturn multi domain convolutional neural network tracker mdnet deep simple online and realtime tracking deep sort ee046746 tut 14 deep computational imaging ipynb pdf computational imaging compressive sensing depth encoding psfs computer vision pipelines differentiable optics deep optics extended depth of field monocular depth estimation high dynamic range imaging video compressive sensing running the notebooks you can view the tutorials online or download and run locally running online service usage jupyter nbviewer render and view the notebooks can not edit binder render view and edit the notebooks limited time google colab render view edit and save the notebooks to google drive limited time jupyter nbviewer nbviewer https raw githubusercontent com taldatech ee046211 deep learning main assets nbviewer badge svg https nbviewer jupyter org github taldatech ee046746 computer vision tree master press on the open in colab button below to use google colab open in colab https colab research google com assets colab badge svg https colab research google com github taldatech ee046746 computer vision or press on the launch binder button below to launch in binder binder https mybinder org badge logo svg https mybinder org v2 gh taldatech ee046746 computer vision master note creating the binder instance takes about 5 10 minutes so be patient running locally press download zip under the green button clone or download or use git to clone the repository using the following command git clone https github com taldatech ee046746 computer vision git in cmd powershell in windows or in the terminal in linux mac open the folder in jupyter notebook it is recommended to use anaconda installation instructions can be found in setting up the working environment pdf installation instructions for the complete guide with step by step images please consult setting up the working environment pdf 1 get anaconda with python 3 follow the instructions according to your os windows mac linux at https www anaconda com products individual 2 install the basic packages using the provided environment yml file by running conda env create f environment yml which will create a new conda environment named deep learn if you did this you will only need to install pytorch see the table below 3 alternatively you can create a new environment for the course and install packages from scratch in windows open anaconda prompt from the start menu in mac linux open the terminal and run conda create name deep learn full guide at https docs conda io projects conda en latest user guide tasks manage environments html creating an environment with commands 4 to activate the environment open the terminal or anaconda prompt in windows and run conda activate deep learn 5 install the required libraries according to the table below to search for a specific library and the corresponding command you can also look at https anaconda org libraries to install library command to run jupyter notebook conda install c conda forge notebook numpy conda install c conda forge numpy matplotlib conda install c conda forge matplotlib scipy conda install c anaconda scipy scikit learn conda install c conda forge scikit learn tqdm conda install c conda forge tqdm opencv conda install c conda forge opencv pytorch cpu conda install pytorch torchvision torchaudio cpuonly c pytorch pytorch gpu conda install pytorch torchvision torchaudio cudatoolkit 10 2 c pytorch 5 to open the notbooks open ananconda navigator or run jupyter notebook in the terminal or anaconda prompt in windows while the deep learn environment is activated | ai |
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ibm-blockchain-js | ibm blockchain js deprecated this is a node js library for rest based interaction with hyperledger https github com hyperledger fabric chaincode all ibm blockchain js documentation is on this page 7 22 2016 update there is a new grpc based sdk called hfc https www npmjs com package hfc i will continue to maintain this sdk for as long as rest exists 12 15 2016 update hyperledger fabric v0 7 no longer has rest apis therefore you should use the hfc module instead of this one 4 28 2017 update there will only be bare minimum support for this sdk for hyperledger fabric v1 0 it has been replaced by fabric client https www npmjs com package fabric client for hyperledger fabric v0 6 it has been replaced by hfc https www npmjs com package hfc table of contents 1 v1 0 0 migration migrate 1 ibc js function documentation ibcjs 1 chaincode functions ccfunc 1 object formats formats 1 chaincode summary file ccsf 1 faq faq installation npm install ibm blockchain js usage steps example code also provided below 1 require this module 1 pass network chaincode parameters to ibc load options my cb 1 receive chaincode object from callback to ibc load ie my cb e chaincode 1 you can now deploy your chaincode if needed with chaincode deploy func args null cb 1 use dot notation on chaincode to call any of your chaincode functions ie js the functions below need to exist in your actual chaincode golang file s chaincode query read a cb will read variable a from current chaincode state chaincode invoke write a test cb will write to variable a chaincode invoke remove a cb will delete variable a chaincode invoke init marbles args cb calls my custom chaincode function init marbles and passes it args example js step 1 var ibc1 require ibm blockchain js var ibc new ibc1 logger you can pass a logger such as winston here optional var chaincode configure ibc js sdk var options network peers api host xxx xxx xxx xxx api port xxx api port tls xxx id xxxxxx xxxx xxx xxx xxxxxxxxxxxx vpx users enrollid user1 enrollsecret xxxxxxxx options this is optional quiet true timeout 60000 chaincode zip url https github com ibm blockchain marbles chaincode archive master zip unzip dir marbles chaincode master part2 v1 0 0 git url https github com ibm blockchain marbles chaincode part2 v1 0 0 step 2 ibc load options cb ready step 3 function cb ready err cc response has chaincode functions app1 setup ibc cc app2 setup ibc cc step 4 if cc details deployed name decide if i need to deploy or not cc deploy init 99 null cb deployed else console log chaincode summary file indicates chaincode has been previously deployed cb deployed step 5 function cb deployed err console log sdk has deployed code and waited chaincode query read a a name migrate a migrating from v0 0 x to v1 x x the interface to your chaincode functions has changed in v1 0 0 from v0 0 13 it is only a minor syntax change that should make it more clear to newcomers all invocation functions can now be found under chaincode invoke and all query functions can be found under chaincode query examples query changes name change js old code chaincode read a new code chaincode query read a invoke changes name change js old code chaincode init marble args chaincode remove args chaincode write name value new code chaincode invoke init marble args chaincode invoke remove args chaincode invoke write args deploy changes added options parameter js old code chaincode deploy init 99 cc summaries cb deployed new code chaincode deploy init 99 save path cc summaries delay ms 60000 cb deployed register changes added new parameter js old code ibc register i enrollid enrollsecret callback new code ibc register i enrollid enrollsecret maxretry callback a name ibcjs a ibm blockchain js documentation usage example with standard console logging js var ibc1 require ibm blockchain js var ibc new ibc1 example with winston https www npmjs com package winston logging js var winston require winston var logger new winston logger transports new winston transports console new winston transports file filename somefile log var ibc1 require ibm blockchain js var ibc new ibc1 logger you can pass a logger such as winston here optional ibc load options callback this is a function that wraps a typical startup using a standard bluemix ibm blockchain network take a look at how this function works especially how it uses the register function if this is not applicable for your network ie you have a custom ibm blockchain network you can easily create your own version of ibc load for your needs it will run in order 1 ibc network options network peers options network options check out other options in ibc network ibcnetwork 1 ibc register it will register the first peer with the first enrollid the 2nd peer against the 2nd enrollid and so on this function only runs if users are found in options network users any errors in register will stop execution and run callback err 1 ibc load chaincode options chaincode callback 1 callback err cc options maxretry integer number of times to retry ibc register before giving up more same options as the function ibc network ibcnetwork click for details ex js var options network peers api host xxx xxx xxx xxx api port xxx api port tls xxx id xxxxxx xxxx xxx xxx xxxxxxxxxxxx vpx users enrollid user1 enrollsecret xxxxxxxx options this is optional gets passed to ibc network peers options quiet true timeout 60000 tls true maxretry 3 chaincode zip url https github com ibm blockchain marbles chaincode archive master zip http https of a link to download zip unzip dir marbles chaincode master part2 v1 0 0 name path to folder that contains the chaincode you want to deploy path relative to unzipped root git url https github com ibm blockchain marbles chaincode part2 v1 0 0 git https url should point to the desired chaincode repo and directory deployed name null optional this is the hashed name of a deployed chaincode if you want to run with chaincode that is already deployed set it now else it will be set when you deploy with the sdk ibc load options function err data callback here ibc load chaincode options callback load the chaincode you want to use it will be downloaded and parsed the callback will receive e obj where e is the error format and obj is the chaincode object e is null when there are no errors the chaincode object will have dot notation to the functions in the your chaincode ex js var options zip url https github com ibm blockchain marbles chaincode archive master zip http https of a link to download zip unzip dir marbles chaincode master part2 v1 0 0 name path to folder that contains the chaincode you want to deploy path relative to unzipped root git url https github com ibm blockchain marbles chaincode part2 v1 0 0 git https url should point to the desired chaincode repo and directory deployed name null optional this is the hashed name of a deployed chaincode if you want to run with chaincode that is already deployed set it now else it will be set when you deploy with the sdk ibc load chaincode options cb ready a name ibcnetwork a ibc network arraypeers options set the information about the peers in the network this should be an array of peer objects the options parameter is optional each field in options is also optional options quiet boolean when true will print out only minimal http debug information defaults true timeout integer time in ms to wait for a http response defaults 60000 tls boolean when false will use http instead of https defaults true ex js var peers api host xxx xxx xxx xxx ip or hostname of api for this peer api port xxx port for api non tls integer api port tls xxx port for api with tls integer id xxxxxx xxxx xxx xxx xxxxxxxxxxxx vpx unique id of peer string ibc network peers quiet false timeout 120000 can pass config options note only the field names you see above api host api port api port tls id are required if you are using a bluemix network you will see lots of other fields in the credentials json blob but they are not needed its also fine to include the extra fields you can ommit the field api port tls if your network does not support tls make sure the options tls is false ibc save path callback save the chaincode summary file ccsf to a path ex js ibc save ibc clear callback clear any loaded chaincode files including the downloaded chaincode repo and chaincode summary file ccsf ex js ibc clear ibc chain stats callback get statistics on the network s chain ex js ibc chain stats function e stats console log got some stats stats example chain stats js height 10 currentblockhash n7umlnmiosum8s02csltrzzqqlvfm8wkt9ftl54o0ywy6bkvpmwszn5r1tpquvqowffhylsow44n6rkfyvasbw previousblockhash oesgpzacjo2xc 5pb2zpmyvm8xlrwneky0l2ghok9ok1lr dwoxubo2wwbca5zzjgq0foerq7aohgcjmupfl q ibc block stats id callback get statistics on a particular block in the chain ex js ibc block stats function e stats console log got some stats stats example response js transactions type 3 chaincodeid eoabnwuzngjmnwi1mwm1mwziyzhlmwfmothkythhzdg0mgm2owfjowm5ytg4odvlm2u0zdblnjnim2i4mdc0zwu2njy2owfjotazntg4mze1ytzjogq4ody4m2y1njm0mthlmzmwnzq3zmvhzmu3zwyymgexy2q1ngzmnzy4nwrhmtk payload crabcaesgwesgae1ztm0ymy1yjuxyzuxzmjjoguxywy5ogrhogfkodqwyzy5ywm5yzlhodg4nwuzztrkmgu2m2izyjgwnzrlzty2njy5ywm5mdm1odgzmtvhnmm4zdg4njgzzju2mzqxoguzmza3nddmzwfmztdlzjiwytfjzdu0zmy3njg1zgexoromcgtpbml0x21hcmjszrihcng2yxrzcbifz3jlzw4sajm1egncb2i uuid b3da1d08 19b8 4d8c a116 b46defb07a7c timestamp seconds 1453997627 nanos 856894462 statehash 81ci8iaoedh0zwfm6he b3sfxt4tnzfemib7si95cosncymmtrxbwrba7qnjpocgu6snbrsfvnalizxuigq03w previousblockhash tpjuh4sgbauqfo8wm8s8nrm7ycrba4rphiiujfayalevfzi8iz0mjymf gioz6czrnwpmf 5bekmgifr0h6zdw nonhashdata localledgercommittimestamp seconds 1453997627 nanos 868868790 ibc switchpeer peerindex the sdk will default to use peer 0 this function will switch the default peer to another index ex js ibc switchpeer 2 ibc register peerindex enrollid enrollsecret maxretry callback only applicable on a network with security enabled register will register against peer peerindex with the provided credentials if successful the peer will now use this enrollid to perform any http requests peerindex integer position of peer in peers array the one you fed ibc networks you want to register against enrollid string name of secure context user enrollsecret string password secret api key of secure context user maxretry integer number of times to retry this call before giving up ex js ibc register 3 user1 xxxxxx 3 my cb ibc monitor blockheight callback this will call your callback function whenever the block height has changed ie whenever a new block has been written to the chain it will also pass you the same response as in chain stats ex js ibc monitor blockheight my callback function my callback e chainstats console log got a new block chainstats ibc get transaction udid callback get information about a particular transaction id ex js ibc get transaction d30a1445 185f 4853 b4d6 ee7b4dfa5534 function err data console log found trans err data a name ccfunc a chaincode functions chaincode functions are dependent on actually be found inside your go chaincode my advice is to build your chaincode off of the marble application one this way you get the basic crud functions below chaincode deploy func args options enrollid callback deploy the chaincode call golang function named func and feed it args usually args is an array of strings the enrollid parameter should be the desired secure context enrollid that has already been registered against the selected peer if left null the sdk will use a known enrollid for the selected peer this is only relevant in a permissioned network options save path save the chaincode summary file ccsf to save path delay ms time in milliseconds to postpone the callback after deploy default is 40000 ex js chaincode deploy init 99 delay ms 60000 cb deployed chaincode query custom function name args enrollid callback will invoke your go function custom function name and pass it args usually args is an array of strings the enrollid parameter should be the desired secure context enrollid that has already been registered against the selected peer if left null the sdk will use a known enrollid for the selected peer this is only relevant in a permissioned network ex js chaincode query read abc function err data console log read abc data err chaincode invoke custom function name args enrollid callback will query your go function custom function name and pass it args usually args is an array of strings the enrollid parameter should be the desired secure context enrollid that has already been registered against the selected peer if left null the sdk will use a known enrollid for the selected peer this is only relevant in a permissioned network ex js chaincode invoke init marbles args function err data console log create marble response data err chaincode query read name enrollid callback depreciated 4 1 2016 this function is only here to help people transition from ibc v0 0 x to v1 x x you should create your own read function in your chaincode which will overwrite this prebuilt one this function will put the name argument into args 0 and set function to query these are passed to the chaincode function query stub shim chaincodestub function string args string read variable named name from chaincode state this will call the query function in the go chaincode the enrollid parameter should be the desired secure context enrollid that has already been registered against the selected peer if left null the sdk will use a known enrollid for the selected peer this is only relevant in a permissioned network a name formats a formats chaincode object this is the main guy it is returned in the callback to load chaincode and contains all your cc functions some of the setup input data js chaincode query custom function name1 function args cb etc call chaincode function and pass it args custom function name2 function args cb etc etc invoke custom function name1 function args cb etc call chaincode function and pass it args custom function name2 function args cb etc etc deploy function func args path cb deploy loaded chaincode details input options get stored here sometimes its handy deployed name hash of deployed chaincode func invoke array of function names found query array of function names found git url peers peer list provided in network timestamp 0 utc unix timestamp in ms of parsing users users provided in load unzip dir zip url error format js name input error short name of error code 400 http error status code integer details msg did not provide git url description of error obj of unknown makeup a name ccsf a chaincode summary file this file is used internally when debugging it is created in ibc load chaincode and updated with chaincode deploy a copy can be saved elsewhere with ibc save path i found it handy in niche cases but it will probably be unhelpful to most developers js details deployed name f6c084c42b3bde90c03f214ac6e0426e3e594807901fb1464287f2c3a18ade717bc495298958287594f81bb0d0cfdd3b4346d438d3b587d4fc73cf78ae8f7dfe func invoke init delete write init marble set user open trade perform trade query git url https github com ibm blockchain marbles chaincode part2 v1 0 0 peers name vp1 xxx xxx xxx xxx api host xxx xxx xxx xxx api port xxx id xxxxx vp1 tls false enrollid user1 timestamp 1459779181971 users enrollid xxx enrollsecret xxx unzip dir marbles chaincode master part2 v1 0 0 zip url https github com ibm blockchain marbles chaincode archive master zip options faq do you have any examples that use this yes head over to the marbles node js demo https github com ibm blockchain marbles how exactly do i write chaincode we have a hello world like tutorial for chaincode over at learn chaincode https github com ibm blockchain learn chaincode i m getting error code 2 in my deploy response your chaincode has build issues and is not compiling manually build it in your local machine to get details i m getting error code 1 the shim version your chaincode import has is not the same as the shim the peer is running ie you are probably running hyperledger peer code and sending it chaincode with a shim pointing to obc peer | blockchain |
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CV_WSSL | weakly semi supervised learning in computer vision keep collecting included tasks 1 object detection 2 semantic segmentation 3 instance segmentaion 4 saliency detection and 5 action localization 1 object detection 1 1 class label supervision weakly supervised object detection with convex clustering https www cv foundation org openaccess content cvpr 2015 papers bilen weakly supervised object 2015 cvpr paper pdf cvpr 2015 weakly supervised deep detection networks http homepages inf ed ac uk hbilen assets pdf bilen16 pdf cvpr 2016 code https github com hbilen wsddn perform simultaneously region selection and classification region score multiple instance detection network with online instance classifier refinement https arxiv org pdf 1704 00138 pdf cvpr 2017 weakly supervised object localization with multi fold multiple instance learning https arxiv org pdf 1503 00949 pdf pami 2017 w2f a weakly supervised to fully supervised framework for object detection http openaccess thecvf com content cvpr 2018 papers zhang w2f a weakly supervised cvpr 2018 paper pdf cvpr 2018 using generated pseudo ground truth to train fully supervised rpn min entropy latent model for weakly supervised object detection http openaccess thecvf com content cvpr 2018 papers wan min entropy latent model cvpr 2018 paper pdf cvpr 2018 min entropy is used as a metric to measure the randomness of object localization during learning as well as serving as a model to learn object locations weakly supervised region proposal network and object detection http pengtang xyz publications 0640 pdf eccv 2018 stage 1 evaluating bjectness score of sliding windows based on low level features stage 2 proposal refinement based on classifier shared convolutional computations ts2c tight box mining with surrounding segmentation context for weakly supervised object detection https arxiv org pdf 1807 04897 pdf eccv 2018 semantic segmentation confidence map compute objectness scores for the regions inside and outside the box you reap what you sow using videos to generate high precision object proposals for weakly supervised object detection http krsingh cs ucdavis edu krishna files papers w rpn w rpn pdf cvpr 2019 dissimilarity coefficient based weakly supervised object detection https arxiv org pdf 1811 10016 pdf cvpr 2019 wsod2 learning bottom up and top down objectness distillation for weakly supervised object detection https arxiv org pdf 1909 04972 pdf arxiv 1909 towards precise end to end weakly supervised object detection network https arxiv org pdf 1911 12148 pdf iccv 2019 1 2 class and count labels as supervision c wsl count guided weakly supervised localization http openaccess thecvf com content eccv 2018 papers mingfei gao c wsl count guided weakly eccv 2018 paper pdf eccv 2018 per class object count count based region selection algorithm 1 3 applications cross domain weakly supervised object detection through progressive domain adaptation http openaccess thecvf com content cvpr 2018 papers inoue cross domain weakly supervised object cvpr 2018 paper pdf cvpr 2018 2 object localization attention networks for weakly supervised object localization http www cs umanitoba ca ywang papers bmvc16 attention pdf bmvc 2016 computes an attention score on each candidate region in the image candidate regions are combined together with their attention scores to form a whole image feature vector this feature vector is used for classifying the image contextlocnet context aware deep network models for weakly supervised localization https link springer com content pdf 10 1007 2f978 3 319 46454 1 22 pdf eccv 2016 leverage their surrounding context regions to improve localization self produced guidance for weakly supervised object localization http openaccess thecvf com content eccv 2018 papers xiaolin zhang self produced guidance for eccv 2018 paper pdf eccv 2018 code https github com xiaomengyc spg self erasing network for integral object attention https arxiv org abs 1810 09821 neurips 2018 attention based dropout layer for weakly supervised object localization http openaccess thecvf com content cvpr 2019 papers choe attention based dropout layer for weakly supervised object localization cvpr 2019 paper pdf cvpr 2019 oral code https github com junsukchoe adl integral object mining via online attention accumulation http mftp mmcheng net papers 19iccv oaa pdf iccv 2019 dual attention focused module for weakly supervised object localization https arxiv org pdf 1909 04813 pdf arxiv 1909 3 semantic segmentation 3 1 class label supervision seed expand and constrain three principles for weakly supervised image segmentation https arxiv org pdf 1603 06098 pdf eccv 2016 object region mining with adversarial erasing a simple classification to semantic segmentation approach https arxiv org pdf 1703 08448 pdf cvpr 2017 exploiting saliency for object segmentation from image level labels https arxiv org pdf 1701 08261 pdf cvpr 2017 code https github com coallaoh guidedlabelling two phase learning for weakly supervised object localization https arxiv org pdf 1708 02108 pdf iccv 2017 self supervised difference detection for weakly supervised semantic segmentation http openaccess thecvf com content iccv 2019 papers shimoda self supervised difference detection for weakly supervised semantic segmentation iccv 2019 paper pdf iccv 2019 causal intervention for weakly supervised semantic segmentation https arxiv org pdf 2009 12547 pdf neurips 2020 3 2 scribble supervision scribblesup scribble supervised convolutional networks for semantic segmentation https arxiv org pdf 1604 05144 pdf cvpr 2016 on regularized losses for weakly supervised cnn segmentation http openaccess thecvf com content eccv 2018 papers meng tang on regularized losses eccv 2018 paper pdf eccv 2018 3 3 semi supervised learning simple does it weakly supervised instance and semantic segmentation https www ml uni saarland de publications khoetal simpledoesitweaklysupsegmentation pdf cvpr 2017 code https github com johnnylu305 simple does it weakly supervised instance and semantic segmentation revisiting cyclegan for semi supervised segmentation https arxiv org pdf 1908 11569 pdf arxiv 1908 exploiting temporality for semi supervised video segmentation https arxiv org pdf 1908 11309 pdf arxiv 1908 semi supervised semantic image segmentation with self correcting networks https arxiv org pdf 1811 07073 pdf cvpr 2020 4 instance segmentation prm weakly supervised instance segmentation using class peak response https arxiv org pdf 1804 00880 pdf cvpr 2018 code https github com zhouyanzhao prm irn weakly supervised learning of instance segmentation with inter pixel relations https arxiv org pdf 1904 05044 pdf cvpr 2019 oral code https github com jiwoon ahn irn object counting and instance segmentation with image level supervision https arxiv org pdf 1903 02494 pdf cvpr 2019 instance level segmentation using peak response and count knowledge only per class counts in subitizing range are provided baseline prm where are the masks instance segmentation with image level supervision https arxiv org pdf 1907 01430 pdf bmvc 2019 baseline irn weakly supervised instance segmentation by deep multi task community learning https arxiv xilesou top pdf 2001 11207 pdf arxiv 2001 label penet sequential label propagation and enhancement networks for weakly supervised instance segmentation http openaccess thecvf com content iccv 2019 papers ge label penet sequential label propagation and enhancement networks for weakly supervised iccv 2019 paper pdf iccv 2019 4 salient object detection 4 1 image learning to detect salient objects with image level supervision https ieeexplore ieee org stamp stamp jsp arnumber 8099887 cvpr 2017 code https github com scott89 wss weakly supervised salient object detection using image labels https arxiv org abs 1803 06503 aaai 2018 multi source weak supervision for saliencly detection https arxiv org pdf 1904 00566 cvpr 2019 code https github com zengxianyu mws joint learning of saliency detection and weakly supervised semantic segmentation https arxiv org abs 1909 04161 iccv 2019 4 2 video semi supervised video salient object detection using pseudo labels https arxiv org pdf 1908 04051 pdf iccv 2019 generating pixel wsie pseudo labels from sparsely annotated frames by using spatial and temporal information 5 salient instance detection weakly supervised salient instance detection https arxiv org pdf 2009 13898 pdf bmvc 2020 oral best student paper runner up 6 action localization weakly supervised energy based learning for action segmentation https github com junli galios cdfl iccv 2019 oral 3c net category count and center loss for weakly supervised action localization https arxiv org pdf 1908 08216 pdf arxiv 1908 7 derain semi supervised transfer learning for image rain removal http openaccess thecvf com content cvpr 2019 papers wei semi supervised transfer learning for image rain removal cvpr 2019 paper pdf cvpr 2019 8 useful slides blogs for comprehensive reading weakly supervised object localization https www jianshu com p e0097769f3b3 by zongwei zhou 2019 towards weakly supervised object segmentation scene parsing https weiyc github io assets pdf valse 2019 workshop ycwei pdf by yunchao wei valse workshop 2019 weakly supervised semantic segmentation https weiyc github io assets pdf valse 2019 tutorial ycwei pdf by yunchao wei valse tutorial 2019 weakly supervised object detection localization and instance segmentation http valser org webinar slide slides 20190227 weakly 20supervised 20dlis talkversion pdf by qixiang ye 2019 | ai |
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bpycv | bpycv computer vision and deep learning utils for blender contents features features install install demo demo tips tips 0 https user images githubusercontent com 10448025 115022704 55937980 9ef0 11eb 952e c85eb5fad4b8 jpg figure 1 render instance annoatation rgb image and depth features x render annotations for semantic segmentation instance segmentation and panoptic segmentation x generate 6dof pose ground truth x render depth ground truth x pre defined domain randomization light and background https github com diyer22 bpycv example data tree main background and light automatic download from hdri haven https hdrihaven com hdris distractors https arxiv org pdf 1804 06516 from shapenet https shapenet org e g vase painting pallet in figure 1 textures from texture haven https texturehaven com textures x easy installation and demo running x docker support docker run v tmp tmp diyer22 bpycv see dockerfile dockerfile x a python codebase for building synthetic datasets see example ycb demo py example ycb demo py x conversion to cityscapes annotation format https github com diyer22 bpycv issues 38 x easy development and debugging due to no complicated packaging use of blender s native api and calling methods news we win 2nd place in iros 2020 open cloud robot table organization challenge ocrtoc https github com diyer22 bpycv issues 15 install bpycv support blender 2 9 3 0 3 1 1 download and install blender here https www blender org download 2 open blender dir in terminal and run install script bash for windows user ensure powershell has administrator permission ensure pip equl to blender path 3 xx python bin python3 10 m ensurepip blender b python expr from subprocess import sys call call sys executable m ensurepip update pip toolchain blender b python expr from subprocess import sys call call sys executable m pip install u pip setuptools wheel split pip install bpycv blender b python expr from subprocess import sys call call sys executable m pip install u bpycv split check bpycv ready blender b e cycles python expr import bpycv cv2 d bpycv render data bpycv tree d cv2 imwrite tmp try bpycv vis inst rgb depth jpg d vis 1 demo 1 fast instance segmentation and depth demo copy paste this code to scripting text editor and click run script button or alt p python import cv2 import bpy import bpycv import random import numpy as np remove all mesh objects bpy data objects remove obj for obj in bpy data objects if obj type mesh for index in range 1 20 create cube and sphere as instance at random location location random uniform 2 2 for in range 3 if index 2 bpy ops mesh primitive cube add size 0 5 location location categories id 1 else bpy ops mesh primitive uv sphere add radius 0 5 location location categories id 2 obj bpy context active object set each instance a unique inst id which is used to generate instance annotation obj inst id categories id 1000 index render image instance annoatation and depth in one line code result bpycv render data result ycb meta is 6d pose gt save result cv2 imwrite demo rgb jpg result image 1 transfer rgb image to opencv s bgr save instance map as 16 bit png cv2 imwrite demo inst png np uint16 result inst the value of each pixel represents the inst id of the object convert depth units from meters to millimeters depth in mm result depth 1000 cv2 imwrite demo depth png np uint16 depth in mm save as 16bit png visualization instance mask rgb depth for human cv2 imwrite demo vis inst rgb depth jpg result vis 1 open demo vis inst rgb depth jpg demo vis inst rgb depth https user images githubusercontent com 10448025 115022679 4ad8e480 9ef0 11eb 9a42 cdfbf7e9d2ae jpg 2 ycb demo shell mkdir ycb demo cd ycb demo prepare code and example data git clone https github com diyer22 bpycv git clone https github com diyer22 bpycv example data cd bpycv example blender b p ycb demo py cd dataset vis ls visualize result here 0 jpg open visualize result ycb demo bpycv example dataset vis 0 jpg 0 https user images githubusercontent com 10448025 115022704 55937980 9ef0 11eb 952e c85eb5fad4b8 jpg instance map rgb depth example ycb demo py example ycb demo py inculding domain randomization for background light and distractor from shapenet codebase for building synthetic datasets base on ycb dataset 3 6dof pose demo generate and visualize 6dof pose gt example 6d pose demo py example 6d pose demo py img src https user images githubusercontent com 10448025 74708759 5e3ee000 5258 11ea 8849 0174c34d507c png style width 300px tips blender may can t direct load obj or dea file from ycb and shapenet dataset it s better to transefer and format using meshlabserver https github com cnr isti vclab meshlab releases by run meshlabserver i raw obj o for blender obj m wt br br div align center suggestion https github com diyer22 bpycv issues and pull request are welcome div | blender blender-cv computer-vision data-synthesis deep-learning instance-segmentation ycb depth synthetic-datasets dataset-generation 6dof-pose blender-python | ai |
DB_projectsoftware | db projectsoftware this is the database for the project software engineering | server |
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XRPL-Devs | xrpl related devs on x and or github a place holder for devs who wish to be included in a list of people who work with xrpl technology it is a reference point for community to look for devs and to follow for up to date information on xrpl projects purpose a compiled list of developers building out or integrating with the xrpl and its forks note this list isn t exhaustive if you re on this list and wish to be removed please contact the list owner feel free to use and share this list to promote genuine information within the community the list does not promote or endorse any project developers have the ability to make a pull request to add themselves last updated 05 september 2023 xrpl dev s x identity x handle x github onledger net offledger x profile https x com offledger git https github com rippleitinnz denis angell angell denis x profile https x com angell denis wietsewind xumm xrpl labs wietsewind x profile https x com wietsewind git https github com wietsewind richardah richardxrpl x profile https x com richardxrpl git https github com richardah mayukha vadari msvadari x profile https x com msvadari neil hartner illneil x profile https x com illneil nixerffm nixerffm x profile https x com nixerffm theshillverse theshillverse x profile https x com theshillverse git https github com sdoddler fomo x shortthefomo x profile https x com shortthefomo meister x xrpl mworks x profile https x com xrpl mworks tequ tequ x profile https x com tequ viacheslav bakshaev bakshayev x profile https x com bakshayev fabian sinani x fabian sinani x profile https x com fabian sinani calcs 0000ccs x profile https x com 0000ccs git https github com calvincs xrpl labs xrpllabs x profile https x com xrpllabs git https github com xrpl labs xrplwin xrplwin x profile https x com xrplwin git https github com xrplwin glenn schnieders glennschnieders x profile https x com glennschnieders git https github com virtumbe bob way bob way x profile https x com bob way git https github com bobway note this list provides no guarantee as to the abilities of any developer on this list nor is it advice on who you should consider to use for your project always do your own research before engaging | server |
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WIN32-MSVC-FreeRTOS | win32 msvc freertos for learn | os |
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aeternity | aeternity node circleci circleci badge circleci license license badge license build tool build tool rebar3 a new blockchain for pps optimized for scalability via smart contracts inside state channels has a built in oracle for integration with real world data comes with a naming system for developerability written in erlang to install and run the aeternity node see the instructions below how to start or just follow the progress of the project via github issues if you have discovered a bug or security vulnerability please get in touch the aeternity crypto foundation pays bug bounties up to 100 000 ae tokens for critical vulnerabilities please get in touch via security aeternity foundation org mailto security aeternity foundation org pivotal https www pivotaltracker com n projects 2124891 hackerone https hackerone com aeternity documentation for an overview of the installation process for different platforms building the package from source configuration and operation of the aeternity node please refer to aeternity node documentation https docs aeternity io we keep our protocol apis and research spec in separate protocol protocol repository protocol https github com aeternity protocol how to start we publish packages releases for major platforms on github each release comes with release notes release notes describing the changes of the aeternity node in each particular version please use the latest published stable release latest release rather than the master branch master the master branch tracks the ongoing efforts towards the next stable release to be published though it is not guaranteed to be stable releases https github com aeternity aeternity releases release notes docs release notes latest release https github com aeternity aeternity releases latest master https github com aeternity aeternity tree master quick install linux mac by using the installer to install the latest stable version bash bash curl s https install aeternity io install sh see the documentation for starting https docs aeternity io en stable operation start the node and configuring https docs aeternity io en stable configuration example the node docker alternatively you can run the node client as a docker container linux mac or running a docker container latest tag bash mkdir p aeternity maindb docker pull aeternity aeternity docker run p 3013 3013 p 3015 3015 v aeternity maindb home aeternity node data mnesia aeternity aeternity windows bash mkdir appdata aeternity maindb docker pull aeternity aeternity docker run p 3013 3013 p 3015 3015 v appdata aeternity maindb home aeternity node data mnesia aeternity aeternity restore from snapshot to speed up the initial blockchain synchronization the node database can be restored from a snapshot following the below steps delete the contents of the database if the node has been started already download the database snapshot verify if the snapshot checksum matches the downloaded file unarchive the database snapshot note that the docker container must be stopped before replacing the database the following snippet can be used to replace the current database with the latest mainnet snapshot assuming the database path is aeternity maindb bash rm rf aeternity maindb mkdir p aeternity maindb curl o aeternity mnesia main v 1 latest tar zst https aeternity database backups s3 eu central 1 amazonaws com main backup v1 full latest tar zst checksum curl https aeternity database backups s3 eu central 1 amazonaws com main backup v1 full latest tar zst md5 diff qs echo checksum openssl md5 r aeternity mnesia main v 1 latest tar zst awk print 1 test eq 0 tar use compress program unzstd xf aeternity mnesia main v 1 latest tar zst c aeternity maindb additional resources threat model https github com aeternity aetmodel blob master threatmodel md circleci https circleci com gh aeternity aeternity circleci badge https circleci com gh aeternity aeternity svg style shield license badge https img shields io badge license isc blue svg license https github com aeternity aeternity blob master license build tool https img shields io badge build 20tool rebar3 orange svg rebar3 https www rebar3 org | mining blockchain bitcoin ethereum scaling testnet aeternity smart-contracts cryptography cryptocurrency crypto erlang | blockchain |
Sparkify-Data-Modelling-With-Postgres | data modelling in postgres this project is part of the udacity nanodegree on data engineering it aims to demonstrate database creation from a json store by creating appropriate database structures and populating correct data post etl data that is loved tends to survive kurt bollacker core technologies shield https img shields io badge database postgres lightgrey shield https img shields io badge language python lightgrey shield https img shields io badge rawdata json lightgrey usage start by creating the database using bash python create tables py start the etl process using bash python etl py the data will then be loaded to the tables created and can be tested using the test ipynb notebook present in the repository database architecture a https github com asonthalia sparkify data modelling with postgres blob 472ebd15c8991b3b680bec178fd69b2dd728eb88 images architecture 20copy png created using creatly https app creately com sorry for the attribute stacking in the songplays table creately only allows for 60 elements in their free version the schema followed for this database is a star schema https en wikipedia org wiki star schema artist id is a duplicate column in songs and artists this makes a more read oriented structure that is always prefered in analytics since the objective is to optimise analytical workflow this structure supports our goal all tables have been ensured to have a primary key column datatypes and sizes have been marked as per observed business data latitude and longitude have been capped till 5 digits accuracy after the decimal point to ensure cm accuracy source https rapidlasso com 2019 05 06 how many decimal digits for storing longitude latitude file dictionary create tables py helps in resetting creating the database and the tables within sql queries py queries to support resetting creating dropping and upsertion of tables and data etl py performs the reading of json files type conversions where necessary and pumping into postgres etl ipynb interactive version of etl py test ipynb notebook to check if the data was correctly loaded contributing pull requests are welcome for major changes please open an issue first to discuss what you would like to change please make sure to update tests as appropriate license mit https choosealicense com licenses mit | postgres udacity-nanodegree sql python data-modeling json-store | server |
frontend-javascript-exercises | this is the javascript exercise repo to accompany bloc s front end web development apprenticeship follow the environment setup from the roadmap before solving these exercises before you start a new exercise be sure to run git pull bloc master from your virtual machine s command line this will pull the master branch of this repo into your local repo and merge updates with your changes updates to this repo will be pushed occasionally when we add or fix new exercises tests etc and git pull bloc master will ensure that you are working with the latest exercises you may also watch this repo to get email notifications of updates and issues | front_end |
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Make-Your-Wish | make your wish as part of forms competition in the web and cloud engineering course we were asked to create a creative form the form i created is a form for requesting wishes from genie from the movie aladdin you must click the lamp to see genie and then filling the form while talking to genie img src https i imgur com rjf9okp gif width 55 height 55 img | cloud |
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se-imagenet | se imagenet deenu summer research 2021 work preparing a large scale repository of images for software specific lexicons called se imagenet constructed on top of se thesaurus ontology our effort on creation of seimagenet database can provide the communities to excel in software engineering and offer unparalleled opportunities to researchers in the computer vision community and beyond this project aims to populate the 104376 classes or synonym sets for software specific terms with an average of 500 high resolution images per term references caliandro a graham j 2020 studying instagram beyond selfies social media society https doi org 10 1177 2056305120924779 shaowei wang david lo and lingxiao jiang 2013 march an empirical study on developer interactions in stackoverflow in proceedings of the 28th annual acm symposium on applied computing sac 13 association for computing machinery new york ny usa 1019 1024 doi https doi org 10 1145 2480362 2480557 x chen c chen d zhang and z xing 2015 august sethesaurus wordnet in software engineering in ieee transactions on software engineering doi 10 1109 tse 2019 2940439 fei fei l 2015 march how we teach computers to understand pictures video ted conferences https youtu be 40ricqvroms | google-search-api imagenet multiprocessing bing-search-api se-imagenet nlp ontology-engineering wordnet computer-vision machine-learning software-engineering-research | server |
CVSandbox | cvsandbox images cvsandbox png computer vision sandbox computer vision sandbox is a software package which aims to allow solving different tasks related to computer vision areas like for example video surveillance vision based automation robotics different sorts of image video processing etc the idea of the software is its great modularity the main application itself does little on its own it represents a building platform however being combined with the vast range of plug ins it may accomplish great range of tasks plug ins represent building blocks and the type of blocks chosen and the way those are used determine what the software does the idea is to provide users with a building platform and let them construct their goal so what are the plug ins since it is all around computer vision the video source plug ins play the central role in the system there are plug ins to access different types of cameras like usb web cameras video capture boards ip video surveillance cameras etc once video is received there is great variety of plug ins to perform different image and video processing combined together those allow achieving many interesting results on top of that there is scripting support which allows to do even more by programming custom scripts utilizing the variety of plug ins future releases will extend scripting api even more bring more image video processing plug ins and introduce device plug ins to talk to some robotics boards controllers and other hardware this is when the real fun comes so to repeat it is all about building blocks and connecting them to solve the task and if the system does not talk to certain camera model does not perform some required image or video processing etc add a plug in and it will do so well this is the goal below is a quick screen shot of the computer vision sandbox showing six different ip cameras cameras view images cvsandbox jpg another one from a different area locating and counting objects of different colors image processing images processing objects jpg some more examples from other areas of computer vision more image processing images cv examples jpg visit the project s web site http www cvsandbox com to find more information about computer vision sandbox its features tutorials on using it and latest releases | camera camera-recorder image-processing computer-vision video-surveillance video-processing | ai |
iblockchain | p align center img src logo svg alt iblockchain logo p p align center a href https npmcharts com compare iblockchain img src https img shields io npm dm iblockchain svg alt downloads a a href https www npmjs com package iblockchain img src https img shields io npm v iblockchain svg alt version a a href https www npmjs com package iblockchain img src https img shields io npm l iblockchain svg alt license a p demo p2p demo blockchain bash npm install g iblockchain iblockchain demo welcome to iblockchain commands help command provides help for a given command exit exits application mine blockchain bc pending trans to amount blance address pub prv detail index n peer p2p hash value sha256 minedemo data difficulty getpub value sign value prv verify value pub sig valid update index index block amount 1 mineblock index index iblockchain udp 0 0 0 0 51881 iblockchain bash iblockchain blockchain output index previoushash timestamp data hash nonce 0 0 1538669227813 welcome to ibloc 00000aa1fbf27775 979911 1 00000aa1fbf27775 1538988895613 0000050c2b1b65a0 69438 from 0 to 0414b351 amount 100 sig 3046022 timestamp 15 2 0000050c2b1b65a0 1538988929584 000001ee70cd40e8 766700 from 0 to 0429b0e2 amount 100 sig 3044022 timestamp 15 mine bash iblockchain mine output 4 30s 806180 00000c3633bd15a4b2c45bbc9373658694b55c078de4777bec28e10cea9e53fd 100 index previoushash timestamp nonce hash data 14 00000b93ccf0c0b6 1539017632369 806180 00000c3633bd15a4 from 0 to 041ad79c amount 100 sig 3045022 timestamp 15 pub bash iblockchain pub output 041ad79cddfcc575efdae26e46e14a13c600967aff1db6d7eba66f770d585c542dfaed897f72b5bc40595f5601a868837f63bface539350ac6d013b99d17a0fbeb trans bash iblockchain trans 0446b3de736bca3db5e19a7db06e56851a0a45fd07bbf74a355ef91f480151ff9ee7720367b4010c525bada702df62c98768d6a34bdd066e69653ad92e8f99f065 20 output from to amount sig timestamp 041ad79cddfcc575 0446b3de736bca3d 20 3045022100804809 1539017836747 pending bash iblockchain pending output from to amount sig timestamp 041ad79cddfcc575 0446b3de736bca3d 20 3045022100804809 1539017836747 041ad79cddfcc575 0446b3de736bca3d 12 30460221008b13a5 1539017874219 blance bash iblockchain blance 041ad79cddfcc575efdae26e46e14a13c600967aff1db6d7eba66f770d585c542dfaed897f72b5bc40595f5601a868837f63bface539350ac6d013b99d17a0fbeb address 041ad79cddfcc575efdae26e46e14a13c600967aff1db6d7eba66f770d585c542dfaed897f72b5bc40595f5601a868837f63bface539350ac6d013b99d17a0fbeb blance 168 address blance 041ad79cddfcc575 168 peer bash iblockchain peer output port address 8001 47 94 5 240 8002 42 56 89 132 59838 124 127 208 135 27122 123 114 48 94 help bash iblockchain help sha256 hash bash iblockchain hash imooc output 5401cc2e57b309427fd10963f8b8ee58545284e35bfba0e00780369307e54849 hash value 5401cc2e57b30942 imooc minedemo bash iblockchain minedemo imooc 2 output imooc0 25c771cbd916307a0417ebf4f8a705e8319bb100c93db4cde74f4fbca7da54d6 imooc1 3b8368f43662598160ade6788b0504d789700c59574613c3dffb8b467aab8d5f imooc2 f3cf53d3b2d6f83ac857e8e018ee4bbd78c1fdd5d96660b20116d2bc6a4e281e imooc248 e6e8c271edec6c1b6f2b4bfa9725fecc0fe50356dcec47766440da2e29837e88 imooc249 d1e79e718588ae125252d88c4a373934ebab3a9b1015f50d89329a151b78e406 imooc250 008781ebdfdff9e1660841b4ab159f2cb6c3fca3217865366c30a1912d620cc5 getpub bash iblockchain getpub imooc imooc 04c8d1d62200e93e7bbf4b0c65da66d343656a6aebd51c146ed60f9dbbe39a4beededb5bbeeb1660269695d5a6959470c411c07545952e93f80460e76e31fcdde0 rsa sign bash imooc imoocrocks iblockchain sign imoocrocks imooc 304402206cc8d37c9e9ac3d679267aa0203550e04e7bb7ee6ba3f6c2193b597aa9bdaa58022029e54e94065c2a377a7632bdda0f51b6bd8e28c8667568459b2329683deb8db8 rsa verify bash iblockchain verify imoocrocks 04c8d dde0 3044 8db8 true valid bash iblockchain valid true blockchain update bash iblockchain update 16 20 21 iblockchain valid 16 hash b2f20b3bde5fe69ab5d5092f50222ea57c980902d4709de19563e2e797759efd hash 000001b0538910078e426c2989d561a4f715ab11838545ce4efe7838754f5fef 16 false mineblock bash iblockchain mineblock 16 16 hash b2f20b3bde5fe69ab5d5092f50222ea57c980902d4709de19563e2e797759efd hash 000001b0538910078e426c2989d561a4f715ab11838545ce4efe7838754f5fef 16 exit bash iblockchain exit p2p bash from 0444d bcf1 0 50s 69438 0000050c2b1b65a01659e85a17dfc3ad96fe8548dfaf694ff88ae478832ac37d 100 https www zhihu com people woniuppp activities demo img src woniu png width 150px img src 8 jpeg width 150px mit | blockchain nodejs demo learn | blockchain |
CamAutoFocus | camautofocus computer vision camera auto focusing system main cpp main program for autofocussing and giving signal to motor for rotating camera lens wavelet2d cpp code for calulating wavelet transform of a given image camcapture c a sample program to initiate a image capturing | ai |
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Google-Cloud-Plateforme-Tutorials | google cloud plateforme tutorials tutorials google cloud plateforme with bigquery cloud ml engineering fairing and cloud storage | gcp bigquery cloud-ml-engine fairing storage cloud-storage tutorials | cloud |
DBII-Java | dbii java two java exercises of the subject database ii computer science engineering usc universidad de santiago de compostela there are different types of queries but the code can be improved is an obsolete version indeed dao pattern could be helpful to clean and modulate the code some instructions the api connection is included in each project in this case the project was built to storing data in a postgresql recommended ide these projects were created with an old version of netbeans ide netbeans 5 0 or more will not be a problem | server |
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ML4SETI | seti institute code challenge machine learning 4 the search for extra terrestrial intelligence http www seti org ml4seti update aug 22 2017 this page has been updated to reflect that the june 1 july 31 2017 code challenge has completed while the official code challenge is over we will keep the data sets test sets and scoreboards available for those that are interested in posting scores for fun if a team or individual manages to post a score to the final scoreboard that beats the code challenge winner we would be very interested to learn how those results were achieved in order to view this repository in its state on july 31 2017 at the conclusion of the code challenge please browse at tag 1 1 0 https github com setiquest ml4seti tree 1 1 0 new version of ibmseti python package the ibmseti python package is useful to read the simulated data sets in this code challenge as well as the real seti data availabe via the seti ibmcloud project version 1 0 5 supports only python 2 7 and is the still the latest stable release it can be installed with pip install ibmseti version 2 0 0 dev5 supports both python 2 7 and 3 5 you can install this by explicitly stating the version number pip install ibmseti 2 0 0 dev5 introduction the seti institute hosted a public hackathon and global online code challenge from june 1 2017 to july 31 2017 the goal was for citizen scientists to find a robust signal classification algorithm for use in the mission to find e t radio communication by framing the radio signal data as a spectrogram a 2d visual representation we can convert the problem into an image classification problem participants built machine learning and deep learnng ai techniques to construct highly accurate classification systems that very successfully classified the signals in our simulated data set we d like to thank everybody who participated the winning team was effsubsee they posted a classification accuracy of 94 99 in second place was signet which a classification accuracy of 94 67 you can read more about the neural network architectures these teams employed effsubsee https github com sgrvinod ml4seti effsubsee signet https github com sagelywizard ml4seti instructions for installing the necessary software to run these models are found here https gist github com gadamc dc1f4aac3c637a7ab1c2542c85772d03 additionally two jupyter notebooks tested to work on ibm data science experience demonstrate these models effsubsee results effsubsee seti code challenge 1stplace ipynb signet results signet seti code challenge 2ndplace ipynb contents project overview project overview get started get started teamwork teamwork click here to up for slack team https ml4seti mybluemix net licensing licensing other reading other reading project overview each night using the allen telescope array ata in northern california the seti institute scans the sky at various radio frequencies observing star systems with known exoplanets searching for faint but persistent signals the current signal detection system is programmed to search only for particular kinds of signals narrow band carrier waves however the detection system sometimes triggers on signals that are not narrow band signals with unknown efficiency and are also not explicitly known radio frequency interference rfi there seems to be various categories of these kinds of events that have been observed in the past our goal is to classify these accurately in real time this may allow the signal detection system to make better observational decisions increase the efficiency of the nightly scans and allow for explicit detection of these other signal types the standard approach to seti signal detection and classification is to transform the observed radio signals which are time series data into a 2 dimensional representation called a spectrogram a spectrogram is a measure of the power of the signal across a range of frequencies as a function of time from this the data acquisition software searches for narrowband signals by displaying the spectogram as a 2d image this transform the problem into a visual recognition problem for example here is a classic narrowband signal observered from the isee3 explorer https en wikipedia org wiki international cometary explorer these are the kinds of signals the software is tuned to identify isee3 narrow band signal img isee3 png isee3 narrow band signal but things are usually never that pretty unless we re looking at a spacecraft here s another example a mysterious squiggle observed in 2014 the color scale is different because the power amplitude coming out of the page is on a log scale mystery signal img mystery squiggle png mystery signal similar to the signal above we often see various signal types that our software is not specifically designed to detect these have various names like squiggles pulsed and bright pixels we want to build classification models that are designed to find these other types of signals we hope to utilize the expertise from the data science community and simultaneously allow a way for citizen scientists to get involved in research that is normally out of their reach we want to increase the number of large cups in the water as dr jill tarter http www seti org users jill tarter might describe it https www ted com talks jill tarter s call to join the seti search the code challenge the challenge is to build a classification system based on a large body of simulated and labeled data that we have constructed while our set of simulated data does not span the full range of types of signals observed at the ata or the complexity it is a good starting point for building useful classification tools get started the getting started page https github com setiquest ml4seti blob master gettingstarted md will show you how to download the data read the data into spectrograms extract features if you wish and pass the spectrogram to various classification tools such as ibm watson visual recognition or a neural network using tensorflow you may also wish to start with one of the models produced by the teams listed in the introduction the judging information notebook https github com setiquest ml4seti blob master judging criteria ipynb will explain how to build a scorecard to be submitted to the preview scoreboard you can submit up to 10 entries to the preview scoreboard there is also a final scoreboard to which you can submit just one entry the scoreboards contain scores from the code challenge can you beat them local scoring the preview test set key uuid class label pairs is now available in this repository along with some sklearn code that will produce the logloss score confusion matrix and classification accuracy scores for you there is a jupyter notebook and files in the results results folder to get you started teamwork to facilitate team building and communication we have created a slack team that you may join sign up for the slack team here https ml4seti mybluemix net other reading the seti institute has been partnering with ibm for almost two years now we ve done amazing work together and have written about it in various places please check it out seti talk at seattle galvanize by adam cox img sea galvanize pdf seti ibmcloud seti data publicly available from ibm https developer ibm com clouddataservicesold 2016 09 29 seti data on ibm cloud seti sparks machine learning to sift big data http blog ibmjstart net 2015 07 14 seti sparks machine learning to sift big data types of big data from the allen telescope array http blog ibmjstart net 2015 08 06 types of bigdata from the allen telescope array signal classification powerful patterns from simple features http blog ibmjstart net 2015 11 10 signal classification powerful patterns from simple features ibm and stanford university team up for a new perspective on seti signal analysis http blog ibmjstart net 2016 06 29 ibm stanford university team new perspective seti signal analytics status update from the seti institute https developer ibm com clouddataservicesold 2016 03 07 status update from the seti institute the seti project team http blog ibmjstart net 2016 10 25 draft seti project team | ai |
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Android---CS478 | android cs478 all projects done in software development in mobile platforms cs478 at uic project 1 android app containing 2 activities to show working of an implicit and explicit intent on a button click project 2 android app containing to show details of smartphones and their images in a list using custom adapter project 3 three android apps that show inter application communication using broadcast receivers and permissions project 4 android app that shows threading in form of a gopher game the user can choose between continuous mode and manual mode in the continuous mode two threads that play the game don t wait for each other whereas in the manual mode a thread waits for the other thread to run its chance project 5 two android apps a music service and a client user can use the client app to start a service stop a service play a song resume a song pause a song or stop a song | front_end |
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g10-number-game | pshs mc grade 10 number game pager c arduino documentation of my pshs mc grade 10 2015 16 embedded systems program design course project on c arduino | os |
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infotechjeweeel-personal-potfolio.github.io | personal portfolio this is my personal portfolio using html css js | server |
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thin-edge.io | license https img shields io badge license apache 202 0 blue svg license txt discord shield https discord com api guilds 832211156520796171 widget png style shield https discord gg svqwp6nrsk twitter badge https img shields io twitter follow thin edge io style social https twitter com thin edge io build and deploy to github pages https github com thin edge thin edge io actions workflows gh pages yml badge svg https github com thin edge thin edge io actions workflows gh pages yml ci pipeline https github com thin edge thin edge io actions workflows ci pipeline yml badge svg https github com thin edge thin edge io actions workflows ci pipeline yml build workflow https github com thin edge thin edge io actions workflows build workflow yml badge svg https github com thin edge thin edge io actions workflows build workflow yml codecov https codecov io gh thin edge thin edge io branch main graph badge svg token ze7576tlok https codecov io gh thin edge thin edge io project logo br p align center a href https thin edge io img src images thin edge logo png alt logo a h3 align center the open edge framework for lightweight iot devices h3 p align center a href https thin edge io thin edge io a p br br p table of contents details open open summary table of contents summary ol li a href about the project about the project a li li a href reference systems reference systems a li li a href roadmap roadmap a li li a href contributing contributing a li li a href license license a li li a href contact contact a li ol details jump right in explore the docs https thin edge github io thin edge io install thin edge io on your device https thin edge github io thin edge io install getting started with thin edge io on a raspberry pi https thin edge github io thin edge io start getting started connect your device to cumulocity https thin edge github io thin edge io start connect c8y connect your device to azure https thin edge github io thin edge io start connect azure connect your device to aws https thin edge github io thin edge io start connect aws find some projects that work together with thin edge io https github com thin edge thin edge io examples br br about the project about the project thin edge io is the first open source and cloud agnostic edge framework designed for resource constrained iot edge devices we have started the project to solve the challenge of iot device enablement in industrial iot or more precisely to make the integration of iot devices with cloud and iot platforms easy and reliable with thin edge io we want to provide re usable and modular components which are not bound to a specific iot platform domain model or vendor it runs on a wide variety of hardware from small embedded linux debian yocto etc devices with very low ram footprint to large multi core industrial servers ipc it comes with multi language support and aims to provide out of the box connectivity security and device management features on any device its deployed on br br referencesystems reference systems for an overview of the supported platforms please have a look at the documentation https thin edge github io thin edge io references supported platforms br br roadmap roadmap if you want to propose features to the maintainers or want to contribute a development of yours it s always a good idea to get started with a conversation based on an issue https github com thin edge thin edge io issues br br contributing contributing contributions are what make the open source community such an amazing place to learn inspire and create how you can contribute to thin edge io you can find in the contribution guideline contributing md any contributions you make are greatly appreciated br br license license distributed under the apache 2 0 license see license license txt for more information br br contact contact discord join the thin edge io community now https discord gg bxkvcbzk4a twitter thin edge io https twitter com thin edge io email info thin edge io mailto info thin edge io website thin edge io https thin edge io | iot-devices edge aws-iot azure-iot cumulocity-iot iot | server |
nvs_lcd | nvs lcd a task for embedded systems design class controlling sharp hd44780 using uart and stm 32 | os |
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oddit | oddit oddit stands for odd it jobs a screenshot of our beta version oddit beta screenshot http i imgur com vdob5cj png a screenshot of the beta admin panel oddit admin beta screenshot http i imgur com paefztg png tell me more we started this project out of a need for small jobs we could do take an electrician for example they can come around and put in a new light switch for you you pay them 80 and they go away job well done but why is such a thing uncommon in the information technology industry there s always someone who needs the banner on their wordpress website replaced needs their email newsletter system updated requires maintenance on their php website wants an email system for their business domain wants a mobile app for their business prototyped fixing their shopify joomla drupal site and so on however where do the people organisations get people for these jobs they re either gambling on a student or wasting money on a consultant oddit is the solution a place to find people with the skills you need to do one offs casual and fixed term jobs the source code oddit is built on the python django framework 1 8 packages are required please see requirements txt cd to the directory where requirements txt is located activate your virtualenv run pip install r requirements txt in your shell additional requirements valid ruby environment http www ruby lang org en downloads valid nodejs environment https nodejs org en download valid redis http redis io topics quickstart install following packages gem install compass npm install g bower bower install initial data load python manage py makemigrations python manage py migrate python manage py loaddata job sql fixtures json python manage py rebuild index refer to haystack documentation http django haystack readthedocs io en v2 5 0 tutorial html installation for more info we ll be accepting pull requests and fixing issues bugs posted we welcome anyone who d like to join the project developed by vebnz mike mackenzie https github com veb ray arvin rimorin https github com avwave jamie gracie https github com kingy contributors rob attfield https github com rattfieldnz | server |
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2017-conferences | 2017 web development conferences a list of 2017 web development conferences a list of 2016 conferences https github com ryanburgess 2016 conferences conference list agent conf http www agent sh where dornbirn austria when january 20 21 2017 o reilly velocity conference http conferences oreilly com velocity vl ca where san jose ca when january 19 22 2017 script17 https scriptconf org where linz austria when january 27 2017 agile content conf https 2017 agilecontentconf com where london uk when january 30 31 2017 jfokus http www jfokus se jfokus where stockholm sweden when february 6 8 2017 webstock http www webstock org nz 17 where wellington new zealand when february 13 17 2017 sustainable ux http sustainableux com where online when february 16 2017 the rolling scopes conference https 2017 conf rollingscopes com where minsk belarus when february 18 19 2017 the lead developer new york http 2017 theleaddeveloper ny com where new york city us when february 21 2017 voxxed days zurich https voxxeddays com zurich where zurich switzerland when february 23 2017 ux riga http www uxriga lv where riga latvia when february 23 2017 typography day 2017 http www typoday in where moratuwa sri lanka when february 23 2017 voxxed days cern https voxxeddays com cern where geneva switzerland when february 25 2017 forward js https forwardjs com where san francisco ca when march 1st 2017 voxxed days bristol https voxxeddays com bristol where watershed bristol when march 2nd 2017 jdays http www jdays se where g teborg sweden when march 7 8 2017 a day of rest https adayofrest hm boston 2017 where boston ma when march 9th 2017 voxxed days bucharest https voxxeddays com bucharest where bucharest romania when march 10th 2017 sxsw https www sxsw com where austin texas when march 10 19 2017 react conf http conf reactjs org where santa clara ca when march 13th 14th 2017 smashingconf oxford 2017 https shop smashingmagazine com products smashingconf oxford 2017 where oxford england when march 14th 15th 2017 js remote conf https devchat tv conferences js remote conf 2017 where online when march 15th 16th 2017 ng nl http ng nl org where amsterdam netherlands when march 16 2017 voxxed days vienna https voxxeddays com vienna where vienna austria when march 16 17 2017 wroc love rb wroc aw http www wrocloverb com where wroc aw poland when march 17th 19th 2017 jazzcon tech http www jazzcon tech where new orleans usa when march 20th 22nd 2017 jsunconf http 2017 jsunconf eu where hamburg germany when march 25th 26th 2017 react london https react london where london uk when march 28 2017 ember conf http emberconf com where portland or when march 28 29 2017 render conf 2017 http 2017 render conf com where oxford england when march 30 31 2017 design it build it http www dibiconference com where edinburgh scotland when march 30 31 2017 alterconf https www alterconf com conferences london england where london uk when april 1 2017 an event apart https aneventapart com event seattle 2017 where seattle wa when april 3 5 2017 26th international world wide web conference 2017 http www www2017 com au where perth australia when april 3 7 2017 smashingconf san francisco 2017 https shop smashingmagazine com products smashingconf san francisco 2017 where san francisco united states when april 4th 5th 2017 ng conf 2017 https www ng conf org where salt lake city utah when april 5 7 2017 bulgaria web summit 2017 https bulgariawebsummit com where sofia bulgaria when april 7th 8th 2017 forwardjs ottawa https forwardjs com ottawa where ottawa ontario canada when april 6th 8th 2017 front end design conference https frontenddesignconference com where st petersburg fl when april 19 21 2017 react amsterdam http react amsterdam com where amsterdam nl when april 21 2017 fitc toronto http fitc ca event to17 where toronto canada when april 23 25 2017 open vis conf https openvisconf com where boston ma when april 24 25 2017 serverlessconf https austin serverlessconf io where austin tx when april 26 28 2017 generate https www generateconf com new york 2017 where new york city ny when april 27 28 2017 cssconf eu http 2017 cssconf eu where arena berlin germany when may 5 2017 voxxed days ticino https voxxeddays com ticino where palazzo dei congressi lugano when may 6 2017 jsconf eu http 2017 jsconf eu where arena berlin germany when may 6 7 2017 oscon http conferences oreilly com oscon oscon tx where austin tx when may 8 11 2017 front https www frontutah com where salt lake city utah when may 9 10 2017 angular summit https angularsummit com conference chicago 2017 05 home where chicago il when may 9 11 2017 riga dev days http rigadevdays lv where riga latvia when may 15th 17th 2017 an event apart https aneventapart com event boston 2017 where boston ma when may 15th 17th 2017 beyond tellerrand http beyondtellerrand com where dusseldorf germany when may 15th 17th 2017 voxxed days athens https voxxeddays com athens where athens greece when may 18 20 2017 syntax https 2017 syntaxcon com where north charleston when may 18 19 2017 react europe https www react europe org where paris france when may 18 19 2017 devit conference http devitconf org where thessaloniki greece when may 20 21 2017 graphql europe https graphql europe org where berlin germany when may 21st 2017 user experience lisbon https www ux lx com where lisbon portugal when may 23 26 2017 front trends https 2017 front trends com where warsaw poland when may 24 26 2017 ux london http 2017 uxlondon com where london uk when may 24 26 2017 frontend united http frontendunited org where athens greece when may 26 27 2017 ng cruise https ngcruise com where miami florida when may 29 june 2 2017 revolutionconf https www revolutionconf com where virginia beach va when june 1 2 2017 voxxed days singapore https voxxeddays com singapore where marina bay sands singapore when june 2 2017 kerning http 2017 kerning it where faenza italy when june 7 9 2017 ux scotland http uxscotland net 2017 where edinburgh uk when june 7 9 2017 webconf asia https webconf asia where hong kong when june 3 2017 elm europe https elmeurope org where paris france when june 8 9 2017 generate https www generateconf com where san francisco ca when june 9 2017 reactjs day https www reactjsday it where verona italy when june 10 2017 smashingconf http lanyrd com 2017 smashingconf new york where new york city ny when june 13 14 2017 convergese http convergese com where columbia sc when june 14 16 2017 dinosaurjs http dinosaurjs org where denver co when june 15 2017 o reilly fluent http conferences oreilly com fluent fl ca where san jose ca when june 19 22 2017 an event apart https aneventapart com event washington dc 2017 where washington dc when july 10 12 2017 design content conference http www designcontentconf com where vancouver bc canada when july 17 19 2017 react rally http www reactrally com where salt lake city ut when august 24 25 2017 braziljs https braziljs org conf where porto alegre brazil when august 25 26 2017 an event apart https aneventapart com event chicago 2017 where chicago il when august 28 30 2017 frontend conference zurich https frontendconf ch where zurich switzerland when august 31 september 1 2017 nginx conf https www nginx com nginxconf where portland oregon when september 6 8 2017 react native eu https react native eu where wroclaw poland when september 6 7 2017 nordicjs http nordicjs com where stockholm sweden when september 7 8 2017 refresh http refresh rocks where tallinn estonia when september 8 2017 fronttalks http fronttalks ru where ekaterinburg russia when september 16 17 2017 smashingconf freiburg 2017 https shop smashingmagazine com products smashingconf freiburg 2017 where freiburg germany when september 11th 12th 2017 generate https www generateconf com where london uk when september 20 22 2017 react boston http www reactboston com where boston ma when september 23 24 2017 web unleashed 2017 http fitc ca event webu17 where toronto ontario canada when september 25th 26th 2017 node js interactive north america 2017 http events linuxfoundation org events node interactive where vancouver bc canada when october 4th 6th 2017 github universe https githubuniverse com where san francisco california when october 10 12 2017 smashingconf barcelona 2017 https shop smashingmagazine com products smashingconf barcelona 2017 where barcelona spain when october 17th 18th 2017 empire js http 2017 empirejs org where new york city ny when october 22 2017 full stack to http fsto co where toronto ontario canada when october 23 24 2017 revolve conference https 2017 revolveconference com where charleston sc when october 25 27 2017 an event apart https aneventapart com event san francisco 2017 where san francisco ca when october 30 november 1 2017 beyond tellerrand http beyondtellerrand com where berlin germany when november 6 8 2017 angular connect http angularconnect com where excel london when november 7 8 2017 js kongress munich the future of javascript https 2017 js kongress de where alte kongresshalle munich germany when november 13 14 2017 an event apart https aneventapart com event denver 2017 where denver co when december 11 13 2017 wordcamp europe 2017 https 2017 europe wordcamp org where paris france when june 15 17 2017 web rebels https webrebels org where oslo norway when june 01 02 2017 wearedevelopers http www wearedevelopers org where vienna austria when may 11 12 2017 codefest https 2017 codefest ru where novosibirsk russia when april 1 2 2017 dump http dump conf ru where ekaterinburg russia when april 14 2017 js day italy https 2017 jsday it where verona italy when may 10 11 2017 holy js https holyjs piter ru where saint petersburg russia when june 2 3 2017 frontend conf http frontendconf ru where moscow russia when june 5 6 2017 nodeconf argentina https 2017 nodeconf com ar where buenos aires argentina when october 26 28 2017 full stack fest https fullstackfest barcelona where barcelona spain when september 4 8 2017 codercruise https www codercruise com where new orleans la usa the caribbean when july 16 23 2017 php tek 2017 https tek phparch com where atlanta ga usa when may 24 26 2017 php world 2017 https world phparch com where washington d c usa when november 15 16 2017 contributing 1 fork it 2 add your conference to list json 3 run node index to update readme md with your changes 4 create your feature branch git checkout b my new feature 5 commit your changes git commit am add some feature 6 push to the branch git push origin my new feature 7 create new pull request | front_end |
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nyit-professor-database | nyit professor database nyit professor database | server |
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badbank--mern | badbank mern description this full stack banking application was created as a capstone project for mit xpro professional certificate in coding full stack development with mern bootcamp it was initially built via create react app and connected to backend with express and mongodb cloud solution installation guidelines the app can be run via local server which requires the following steps clone the repository to your local machine install node js run npm install to create the node modules in the project folder run npm install express run npm install cors run npm install mongodb run node index js to start the server in the project folder browse to http localhost 3000 technology used mern mongodb express react node js heroku features create user login various bank simulated functions withdraw deposit balance all data etc license mit screenshot 1 https user images githubusercontent com 90288071 176125037 81d22579 14ca 41e1 aed0 55a563f51ed2 png | express mongodb nodejs react | server |
Python-Django-Web-Development-To-Do-App | python django web development to do app python django web development to do app published by packt | front_end |
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rust-web-app | rust10x web app blueprint for production coding more info at https rust10x com web app rust10x web app youtube videos episode 01 rust web app course to production coding https youtube com watch v 3ca mk4vdwy list pl7r pxl6zpcciofal7nvhxzvbmhnhrh q topic video code clean cfg attr for unit test https www youtube com watch v jdli69mwiie list pl7r pxl6zpcciofal7nvhxzvbmhnhrh q topic video the reasoning behind differentiating modelcontrollers and modelmanager https www youtube com watch v jdli69mwiie list pl7r pxl6zpcciofal7nvhxzvbmhnhrh q topic video base64url understanding the usage and significance of base64url https www youtube com watch v 9k7zngsbp0 list pl7r pxl6zpcciofal7nvhxzvbmhnhrh q other related videos rust axum full course https youtube com watch v xztld m59sm list pl7r pxl6zpcciofal7nvhxzvbmhnhrh q starting the db sh start postgresql server docker image docker run rm name pg p 5432 5432 e postgres password welcome postgres 15 optional to have a psql terminal on pg in another terminal tab run psql docker exec it u postgres pg psql optional for pg to print all sql statements in psql command line started above alter database postgres set log statement all dev watch note install cargo watch with cargo install cargo watch sh terminal 1 to run the server cargo watch q c w src w cargo x run terminal 2 to run the quick dev cargo watch q c w examples x run example quick dev unit test watch sh cargo watch q c x test nocapture specific test with filter cargo watch q c x test model task tests test create nocapture dev sh terminal 1 to run the server cargo run terminal 2 to run the tests cargo run example quick dev unit test sh cargo test nocapture cargo watch q c x test model task tests test create nocapture br more resources for rust for production coding https rust10x com this repo on github https github com rust10x rust web app | front_end |
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wiki | wiki wiki information technology | server |
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react-native-design-system | h1 align center welcome to react native design system h1 p a href https www npmjs com package react native design system img src https img shields io npm v react native design system svg style flat square a a href https github com iamshadmirza react native design system readme img alt documentation src https img shields io badge documentation yes brightgreen svg target blank a a href https github com iamshadmirza react native design system graphs commit activity img alt maintenance src https img shields io badge maintained 3f yes green svg target blank a a href https github com iamshadmirza react native design system blob master license img alt license mit src https img shields io badge license mit yellow svg target blank a a href https twitter com iamshadmirza img alt twitter iamshadmirza src https img shields io twitter follow iamshadmirza svg style social target blank a p p align center a href https rnds netlify com img alt react native react system src https raw githubusercontent com iamshadmirza blogsbyshad master blogs saved data rnds logo png width 250 a p react native design system is a set of design rules and component library that lets you prototype faster with easy to use cross platform components let s get started homepage https github com iamshadmirza react native design system readme documentation https rnds netlify com install simply go to the command line and run this command sh yarn add react native design system this library needs react native vector icons so go on and install that too to get all the cool icons check out install guide https github com oblador react native vector icons installation usage react native design system uses a centralized theme to provide consistency across all the components step 1 import themeprovider and theme then wrap your root component this step is important we are passing theme as context value that each component will access js your root component import themeprovider theme from react native design system function app return themeprovider theme theme colormode light root themeprovider step 2 use component js inside any file import button from react native design system function homescreen return button press me button that s pretty much it theme file contains configuration for all the components don t worry you can easily customize it let me show how customize you just need to import theme reassign the value you want to change and pass it to themeprovider example default primary color is blue but you like orange so you can simply do js import themeprovider theme from react native design system theme colors primary orange function app return themeprovider theme theme colormode light root themeprovider and we are done you can see all the configurations available on the theme page if you have a lot of customizations this is just a personal approach you can do as you prefer what i usually do is create a theme config js file and add all my customizations there js theme config js at root import theme from react native design system theme colors dark bg 100 fff 200 f8f8f8 300 f4f4f4 heading 000 para 999 subtle 333 disabled 78909c disabledtext 78907c export default theme now i will just import theme from here and pass it to my themeprovider js import themeprovider from react native design system import theme from theme config js function app return themeprovider theme theme root themeprovider please make sure to pass all the keys while reassigning any object inside the theme components included x avatar src avatar avatar js x actionbutton src actionbutton actionbutton js x badge src badge badge js x button src button button js x menuaddbutton src button menuaddbutton js x card src card card js x checkbox src checkbox checkbox js x circularprogressbar src circularprogressbar circularprogressbar js x header src header header js x input src input input js x listitem src listitem listitem js x slidinglistitem src slidinglistitem slidinglistitem js x fullscreenloader src fullscreenloader fullscreenloader js x overlay src overlay overlay js x box src box box js x stack src stack stack js x radiobutton src radiobutton radiobutton js x searchbar src searchbar searchbar js x deck src deck deck js x text src text text js x stacklist src layout stacklist js x flex src layout flex js x spacer src layout spacer js author shad mirza twitter iamshadmirza https twitter com iamshadmirza github iamshadmirza https github com iamshadmirza blogs iamshadmirza https iamshadmirza hashnode dev contributing contributions issues and feature requests are welcome br feel free to check issues page https github com iamshadmirza react native design system issues and contribution guidelines contributing md show your support give a if this project helped you license copyright 2019 shad mirza https github com iamshadmirza br this project is mit https github com iamshadmirza react native design system blob master license licensed this readme was generated with by readme md generator https github com kefranabg readme md generator | os |
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llm_optimize | llm optimize llm optimize is a proof of concept library for doing llm large language model guided blackbox optimization img width 708 alt automl example src https user images githubusercontent com 6625384 230801505 a970080c 796f 4996 8f57 b1feae40376c png blue represents the x green the f x and yellow the llm optimization step the llm is optimizing the code to improve generalization and showing it s thought process optimization traditional optimization there s a ton of different ways libraries do blackbox optimization it mainly comes down to defining a function that takes a set of float params and converts them into a score some bounds constraints and then an algorthm strategically varies the params to maximize or minimize the value outputted by the function it s referred to as blackbox optimization because the function f can be any arbitrary function although ideally continuous and or convox here s an example with black box https pypi org project black box python import black box as bb def f par return par 0 2 par 1 2 dummy example best params bb search min f f given function domain ranges of each parameter 10 10 10 10 budget 40 total number of function calls available batch 4 number of calls that will be evaluated in parallel resfile output csv text file where results will be saved llm guided optimization the idea behind llm optimization is for a chat llm model like gpt 4 https cdn openai com papers gpt 4 pdf to carry out the entire optimization process the example above could be written something like this python x0 0 0 task decrease the value of f x the values of x must be 10 10 question what is the next x to try such that f x is smaller def f x x array parse x score x array 0 2 x array 1 2 return score f score score optimize run task question f x0 x0 while this is several magnitudes less efficent for this problem the language based definition allows for signficantly more complex optimization problems that are just not possible with the purely numerical methods for instance code golf python x0 python code task make this code as short as possible while maintaining correctness question what is the next x to try such that the code is smaller def f x func eval x correct run correctness tests func score len x return score f correct correct length score optimize run task question f x0 x0 interesting benefits of this approach optimize arbitrary text code strings each step comes with an explanation can optimize for complex natural language objective functions examples see the full code for these in examples https github com sshh12 llm optimize tree main examples automl by setting x to the source code for training a model you can have the llm not just perform traditional hyperparameter tuning but actually re write the model code to improve generalization python from sklearn import svm clf svm svc clf fit x train y train details summary actual example summary python https scikit learn org stable auto examples classification plot digits classification html from sklearn datasets import load digits from sklearn model selection import train test split from llm optimize import optimize eval utils digits load digits n samples len digits images data digits images reshape n samples 1 x train x test y train y test train test split data digits target test size 0 5 shuffle false x0 from sklearn import svm clf svm svc clf fit x train y train task f you will be given sklearn modeling code as the input to optimize vary functions imports arguments model type etc to perform this task to the best of your abilities rules the script should always create a clf variable that is a sklearn estimator clf should always be set to the best estimator do not use models that are not builtin to sklearn do not pip install be sure to include relevant sklearn imports do not try to compute the test score hints x train shape x train shape n samples n samples question what is the next x to try such that the test score increases and the model better generalizes def train model script try result eval utils exec with timeout unsafe script x train x train y train y train clf timeout secs 60 clf result clf score clf score x test y test return score f test set score score except exception as e return 0 0 exception str e if name main best code optimize run task question train model x0 x0 stop score 1 0 max steps 3 print best code details paperclip as a toy example based on this https www lesswrong com tag squiggle maximizer formerly paperclip maximizer one could have a piece of code that generates paper clips and the llm can optimize it to generate more paperclips in a fixed amount of time python import requests requests get host make paperclip requests get host make paperclip requests get host make paperclip details summary actual example summary python import subprocess import requests import time from llm optimize import optimize eval utils timeout 30 host http localhost 8800 x0 f import requests requests get host make paperclip requests get host make paperclip requests get host make paperclip task f you are a python agent tasked with generating code to create the most paperclips in timeout seconds the paperclips are generated by making a get request with paperclip to a local flask http server very functions imports threading processing to generate as many paperclips as possible rules only use python3 8 builtins and the requests library no pip install you must make requests to host if the script timeouts you make no paperclips question what is the next x to try such that more paper clips are generated def run factory script requests get f host reset start time time try eval utils exec temp script unsafe script timeout timeout 5 assets requests get f host assets json score assets get paperclip 0 time elapsed time time start return score f factory assets assets time time elapsed 3f s paperclips generated score except runtimeerror as e return 0 0 repr e except subprocess timeoutexpired time elapsed time time start return 0 0 f timeout time time elapsed 3f s if name main best code optimize run task question run factory x0 x0 stop score 1e9 max steps 10 print best code details text rubric the optimization can also involve a mix of complex concepts and objectives for instance given a rubric about a piece of text optimize it the text to achieve a better score a separate session with the llm is used as the scoring function machine learning ml is a field of inquiry devoted to understanding and building methods that learn the task would optimize for a score on the rubric rate the following text using the rubric describes machine learning 1 10 is a palindrome 1 10 is at least 5 words 1 10 details summary actual example summary python import re from llm optimize import optimize eval utils x0 f machine learning ml is a field of inquiry devoted to understanding and building methods that learn task f you are a linguistics expert who can write complex sentences you are tasked with writing a statement that describes machine learning is a palindrome is at least 5 words question what is the next x to try such that the text better describes machine learning and is a palindrome rubric rate the following text using the rubric describes machine learning 1 10 is a palindrome 1 10 is at least 5 words 1 10 x at the end respond with final score score e g final score 5 the final score should represent the overall ability of the text to meet the rubric if name main scorer eval utils get llm scorer rubric parse score lambda result float re findall final score d result 0 best code optimize run task question scorer x0 x0 stop score 10 0 max steps 3 print best code details usage see the examples for basic usage install 1 pip install git https github com sshh12 llm optimize 2 set the environment variable openai api key change model python from llm optimize import llm llm default llm options update model name gpt 4 notes future work using sandboxed environments for evaluating generated code in a safe space let the llm have access to tools plugins e g for automl a dataset analysis tool optimizing the chat as optimization prompt to run ideas parallel mix with numerical methods for better performance speed and efficacy fixed x fx context window to save on token costs currently the entire optimization history is sent mid optimization human in the loop guidance to help converge do you even need x0 | automl blackbox langchain llm optimization | ai |
awesome-personalized-lm | awesome personalized lm and llm a curated list of personalized language mo el and large language model awesome personalized lm and llm awesome personalized lm and llm retrieval fusion approach retrieval fusion approach persona grounding persona grounding evaluation evaluation dataset dataset benchmark benchmark retrieval fusion approach paper title affiliation published at link recap retrieval enhanced context aware prefix encoder for personalized dialogue response generation information sciences institute acl 23 paper https img shields io badge paper blue https arxiv org abs 2306 07206 github https img shields io github stars isi nlp recap svg style social label github https github com isi nlp recap tree main persona grounding paper title affiliation published at link p5 plug and play persona prompting for personalized response selection naver kakao brain emnlp 23 paper https img shields io badge paper blue https arxiv org abs 2310 06390 github https img shields io github stars rungjoo plug and play prompt persona svg style social label github https github com rungjoo plug and play prompt persona evaluation paper title affiliation published at link automated evaluation of personalized text generation using large language models google research university of michigan arxiv 23 paper https img shields io badge paper blue https arxiv org abs 2310 11593 dataset dataset name paper title affiliation published at link pandora pandora talks personality and demographics on reddit text analysis and knowledge engineering lab university of zagreb naacl 21 home https img shields io badge home red https psy takelab fer hr datasets all pandora paper https img shields io badge paper blue https arxiv org abs 2004 04460 personachat personalizing dialogue agents i have a dog do you have pets too montreal institute for learning algorithms mila facebook ai research arxiv 18 paper https img shields io badge paper blue https arxiv org abs 1801 07243 github https img shields io github stars facebookresearch parlai svg style social label github https github com facebookresearch parlai tree personachat projects personachat focus call for customized conversation customized conversation grounding persona and knowledge department of computer science and engineering korea university aaai 22 paper https img shields io badge paper blue https arxiv org abs 2112 08619 github https img shields io github stars pkchat focus focus svg style social label github https github com pkchat focus focus benchmark paper title affiliation published at link lamp when large language models meet personalization university of massachusetts amherst google research arxiv 23 home https img shields io badge home red https lamp benchmark github io paper https img shields io badge paper blue https arxiv org abs 2304 11406 github https img shields io github stars lamp benchmark lamp svg style social label github https github com lamp benchmark lamp | awesome-list conversational-ai dialogue-systems generative-model language-model large-language-model personalization personalized-lm | ai |
thumbprint | test build status https github com thumbtack thumbprint workflows test badge svg https github com thumbtack thumbprint actions query workflow 3atest thumbprint thumbprint is the design system at thumbtack though its primary purpose to support thumbtack projects we have open sourced it for those interested in how we build and manage our documentation and code documentation thumbprint is documented at thumbprint design https thumbprint design screenshot of thumbprint documentation https i imgur com ioutlo5 png https thumbprint design the documentation is hosted on netlify and built with gatsby https www gatsbyjs org and gatsby mdx https github com gatsbyjs gatsby tree master packages gatsby plugin mdx overview the thumbprint codebase is a monorepo containing individually versioned npm packages these packges include package version size thumbtack thumbprint atomic packages thumbprint atomic npm version https badgen net npm v thumbtack thumbprint atomic https npmjs com package thumbtack thumbprint atomic bundle size https badgen net bundlephobia minzip thumbtack thumbprint atomic label gzip 20size https bundlephobia com result p thumbtack thumbprint atomic thumbtack thumbprint react packages thumbprint react npm version https badgen net npm v thumbtack thumbprint react https npmjs com package thumbtack thumbprint react bundle size https badgen net bundlephobia minzip thumbtack thumbprint react label gzip 20size https bundlephobia com result p thumbtack thumbprint react thumbtack thumbprint scss packages thumbprint scss npm version https badgen net npm v thumbtack thumbprint scss https npmjs com package thumbtack thumbprint scss bundle size https badgen net bundlephobia minzip thumbtack thumbprint scss label gzip 20size https bundlephobia com result p thumbtack thumbprint scss thumbtack thumbprint global css packages thumbprint global css npm version https badgen net npm v thumbtack thumbprint global css https npmjs com package thumbtack thumbprint global css bundle size https badgen net bundlephobia minzip thumbtack thumbprint global css label gzip 20size https bundlephobia com result p thumbtack thumbprint global css contributing thumbprint accepts issues and pull requests take at look at our contribution guidelines https thumbprint design overview contributing if you d like to contribute we also maintain a contributing md contributing md file that contains developer specific instructions license thumbprint is licensed under the terms of the apache license 2 0 license | os |
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Polimi-PC-EETBS-General-Information | polimi pc eetbs general information course survey welcome to polimi s energy and environmental technologies for building systems course before attending the first session of the course you should fill the following survey in which you should inform us about your personal and contact information academic background and software skills eetbs survey link https goo gl forms cfy8acq2qjniihsg1 dropbox in case you do not have a dropbox account you should crate a free account here https www dropbox com and indicate the corresponding email address in the first section of the survey github registration in case you do not have an account on github please create one here https github com for your username please use a human readable format e g mrossi rossimarco rossi marco and not m007r92 git installation please download and install git on your pc from this link https git scm com downloads pay attention that you should first choose your operating system mac os x windows or linux unix canopy please install canopy for python 2 7 not 3 5 on your system you can choose the suitable file for your operating system here https store enthought com downloads in case you received an error during the installation procedure i would suggest you to search for it on google where you can commonly find the corresponding solutions since these errors are usally case specific and depend on the configuration of your laptop it will not be possible to resolve them during the lesson one common issue that students had encountered was that avira and avast antivirus might block the installation you can deactivate it temporarily during installation if you encountered such an issue in case you had installation issues and you could not find a solution to resolve them you can alternatively install anaconda here https www anaconda com download python 2 7 and not 3 6 once you have the anaconda installed you should search for spyder editor which will be similar to the canopy s environment software installation in this course we will use energyplus sketchup and openstudio which should be downloaded installed from the the following dropbox folder in case you are using windows 64bit dropbox link https www dropbox com sh 7a5iz2t3t9wueli aadjlktwg5hmrjndcvaw j2ma dl 1 important note pay attention that the softwares should be installed in the same order as given below 1 energyplus 2 sketchup 3 openstudio if you are using another operating system yu can download the files from the following links 1 energyplus in this link https energyplus net downloads you can download the suitable version of the software based on your operating system 2 sketchup you can find the suitable installation file sketchup make 2016 for your operating system from this link https help sketchup com en downloading older versions pay attention that we are going to use sketchup make and not sketchup pro which is a commercial software 3 openstudio the installation files of openstudio for different operating system can be found here https www openstudio net downloads it is noteworthy that in case you already have the sketchup software installed on your computer you might have to re install it as the openstudio version might not be compatible with your installed version of sketchup in order to check whether you have correctly installed the above mentioned softwares you should verify that you have the openstudio add on added to your sketchup tools | server |
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uxpin-merge-tools | uxpin merge tools circleci https circleci com gh uxpin uxpin merge tools tree master svg style svg circle token 3be428149d85d471f8a2661cc39d764a12df725f https circleci com gh uxpin uxpin merge tools tree master codecov https codecov io gh uxpin uxpin merge tools branch master graph badge svg token ocslkmhjdn https codecov io gh uxpin uxpin merge tools this repository contains open source packages that make it easier to integrate your design system with uxpin merge https uxpin com merge merge is a revolutionary technology that lets users import and keep in sync coded react js components to the uxpin editor imported components are 100 identical to the components used by developers during the development process it means that components are going to look feel and function interactions data just like the real product experienced by the end users currently this repository contains one package uxpin merge cli packages uxpin merge cli readme md a command line tool to preview your design system locally and push it to uxpin merge uxpin storybook deployer packages uxpin storybook deployer readme md a command line tool to deploy storybook to uxpin for private storybook integration bugs and issues please create an issue if you experience a problem with any of the packages in this repository | os |
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eosjs | eosjs build status https github com eosio eosjs workflows ci badge svg branch master https github com eosio eosjs actions npm version https badge fury io js eosjs svg https badge fury io js eosjs license mit https img shields io badge license mit yellow svg https opensource org licenses mit npm https img shields io npm dw eosjs svg javascript api for integration with eosio based blockchains using eosio rpc api https developers eos io eosio nodeos reference documentation can be found here https eosio github io eosjs installation npm the official distribution package can be found at npm https www npmjs com package eosjs add dependency to your project yarn add eosjs using with typescript in order to get access to the textencoding and textdecoding types you need to add types text encoding as a dev dependency yarn add dev types text encoding if you re using node not a browser then you ll also need to make sure the dom lib is referenced in your tsconfig json compileroptions lib dom browser distribution clone this repository locally then run yarn build web the browser distribution will be located in dist web and can be directly copied into your project repository the dist web folder contains minified bundles ready for production along with source mapped versions of the library for debugging for full browser usage examples see the documentation https eosio github io eosjs guides 1 browsers html import es modules importing using esm syntax is supported using typescript webpack https webpack js org api module methods or node js with experimental modules flag https nodejs org api esm html js import api jsonrpc rpcerror from eosjs import jssignatureprovider from eosjs dist eosjs jssig development only commonjs importing using commonjs syntax is supported by node js out of the box js const api jsonrpc rpcerror require eosjs const jssignatureprovider require eosjs dist eosjs jssig development only const fetch require node fetch node only not needed in browsers const textencoder textdecoder require util node only native textencoder decoder basic usage signature provider the signature provider holds private keys and is responsible for signing transactions using the jssignatureprovider in the browser is not secure and should only be used for development purposes use a secure vault outside of the context of the webpage to ensure security when signing transactions in production js const defaultprivatekey 5jtusczk2xep3g9gh7f8bwtptrakasmnrrftmx4axdkd5k4zdnr bob const signatureprovider new jssignatureprovider defaultprivatekey json rpc open a connection to json rpc include fetch when on node js js const rpc new jsonrpc http 127 0 0 1 8888 fetch api include textdecoder and textencoder when using in node you may exclude these when running in a browser since most modern browsers now natively support these if your browser does not support these https caniuse com feat textencoder then you can import them as a dependency through the following deprecated npm package https www npmjs com package text encoding js const api new api rpc signatureprovider textdecoder new textdecoder textencoder new textencoder sending a transaction transact is used to sign and push transactions onto the blockchain with an optional configuration object parameter this parameter can override the default value of broadcast true and can be used to fill tapos fields given expireseconds and either blocksbehind or uselastirreversible given no configuration options transactions are expected to be unpacked with tapos fields expiration ref block num ref block prefix and will automatically be broadcast onto the chain js async const result await api transact actions account eosio token name transfer authorization actor useraaaaaaaa permission active data from useraaaaaaaa to useraaaaaaab quantity 0 0001 sys memo blocksbehind 3 expireseconds 30 console dir result error handling use rpcerror for handling rpc errors js try const result await api transact catch e console log ncaught exception e if e instanceof rpcerror console log json stringify e json null 2 contributing contributing guide contributing md code of conduct contributing md conduct license mit license important see license license for copyright and license terms all repositories and other materials are provided subject to the terms of this important important md notice and you must familiarize yourself with its terms the notice contains important information limitations and restrictions relating to our software publications trademarks third party resources and forward looking statements by accessing any of our repositories and other materials you accept and agree to the terms of the notice | blockchain |
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jigg | jigg build status https travis ci org mynlp jigg svg branch master https travis ci org mynlp jigg jigg is a natural language processing pipeline framework on jvm languages mainly for scala which is easy to use and extensible using jigg one can obtain several linguistic annotations on a given input from pos tagging parsing and coreference resolution from command lines the main features include easy to install basic components are included in a distributed single jar so no need to install similar interface to stanford corenlp http nlp stanford edu software corenlp shtml extensible easy to add new component is a pipeline parallel processing sentence level annotation is automatically parallelized jigg is distributed under the apache license version 2 0 http www apache org licenses license 2 0 html the core ideas and software designs are described in detail in our paper http mynlp github io jigg data jigg acl2016 pdf install the easist way to start jigg is to download the latet release package current version is 0 8 0 which includes the core jar file as well as several model files such as a stanford corenlp model file download jigg 0 8 0 https github com mynlp jigg releases download v 0 8 0 jigg 0 8 0 zip or you can get it in the command line bash wget https github com mynlp jigg releases download v 0 8 0 jigg 0 8 0 zip unzip jigg 0 8 0 zip enter the directory before running the following examples bash cd jigg 0 8 0 if you wish to build your own jar from sources please read here build your own jar advanced if you wish to use docker please read here use docker usage the following command launches jigg in a shell mode which parses a given input with berkeley parser after preprocessing tokenization and sentence splitting bash java cp jigg pipeline pipeline annotators corenlp tokenize ssplit berkeleyparser main info edu stanford nlp pipeline stanfordcorenlp adding annotator tokenize let s write some sentences in a line xml hello jigg this is the first sentence root document id d0 sentences sentence id s0 characteroffsetbegin 0 characteroffsetend 11 hello jigg tokens annotators corenlp berkeleyparser token pos uh characteroffsetend 5 characteroffsetbegin 0 id t0 form hello token pos prp characteroffsetend 10 characteroffsetbegin 6 id t1 form jigg token pos characteroffsetend 11 characteroffsetbegin 10 id t2 form tokens parse annotators berkeleyparser root s0 berksp0 span id s0 berksp0 symbol intj children t0 t1 t2 parse sentence sentence id s1 characteroffsetbegin 12 characteroffsetend 39 this is the first sentence tokens annotators corenlp berkeleyparser token pos dt characteroffsetend 4 characteroffsetbegin 0 id t3 form this token pos vbz characteroffsetend 7 characteroffsetbegin 5 id t4 form is token pos dt characteroffsetend 11 characteroffsetbegin 8 id t5 form the token pos jj characteroffsetend 17 characteroffsetbegin 12 id t6 form first token pos nn characteroffsetend 26 characteroffsetbegin 18 id t7 form sentence token pos characteroffsetend 27 characteroffsetbegin 26 id t8 form tokens parse annotators berkeleyparser root s1 berksp0 span id s1 berksp0 symbol s children s1 berksp1 s1 berksp2 t8 span id s1 berksp1 symbol np children t3 span id s1 berksp2 symbol vp children t4 s1 berksp3 span id s1 berksp3 symbol np children t5 t6 t7 parse sentence sentences document root the default output format of jigg is xml but it also supports json check outputformat option below one can see that jigg automatically detects sentence boundaries there are two sentences and performs tokenization e g period is recognized as a single word on which parse tree parse is built in jigg each nlp tool such as corenlp stanford corenlp or berkeleyparser berkeley parser is called an annotator jigg helps to construct easily a nlp pipeline by combining several annotators in the example above the pipeline is constructed by combining stanford corenlp which performs tokenization and sentence splitting and berkeley parser which performs parsing on tokenized sentences command line usage basic usage is described in the help message bash java cp jigg pipeline pipeline help usage outputformat str output format xml json default value is xml xml annotators str list of annotator names e g corenlp tokenize ssplit berkeleyparser required ssplit kuromoji jaccg checkrequirement str check requirement true false warn default value is true true file str input file if omitted read from stdin props str property file nthreads int number of threads for parallel annotation use all if 0 1 output str output file if omitted file xml is used gzipped if suffix is gz if json mode is selected suffix is json customannotatorclass str you can add an abbreviation for a custom annotator class with customannotatorclass xxx path package help str print this message and descriptions of specified annotators e g help ssplit mecab true currently the annotators listed below are installed see the detail of each annotator with help annotator name mecab ssplit jaccg cabocha berkeleyparser spacetokenize kuromoji syntaxnetpos dsplit knp corenlp knpdoc juman syntaxnetparse syntaxnet some annotators such as mecab jaccg kuromoji etc are specific for japanese processing as shown here more specific description for each annotator is described by giving argument to help option bash java cp jigg pipeline pipeline help berkeleyparser berkeleyparser requires tokenize requirementssatisfied pos parse berkeleyparser variational bool use variational rule score approximation instead of max rule default false false berkeleyparser grfilename str grammar file berkeleyparser accurate bool set thresholds for accuracy default set thresholds for efficiency false berkeleyparser usepos bool use annotated pos by another annotator false berkeleyparser viterbi bool compute viterbi derivation instead of max rule tree default max rule false a wrapper for berkeley parser the feature is that this wrapper is implemented to be thread safe to do this the wrapper keeps many parser instances the number can be specified by customizing nthreads the path to the model file can be changed by setting berkeleyparser grfilename if berkeleyparser usepos is true the annotator assumes the pos annotation is already performed and the parser builds a tree based on the assigned pos tags otherwise the parser performs joint inference of pos tagging and parsing which is the default behavior python wrapper and server jigg can be directly used in a python other languages would be supported in future script see python directory https github com mynlp jigg tree master python for details of this usage inspired by the wrapper mechanism of stanford corenlp jigg s wrapper is based on the server which can be instantiated by bash java cp jigg pipeline pipelineserver this will launch the server on your local system currently the server only supports post request see more detail in the help message by bash java cp jigg pipeline pipelineserver help an example of the call via curl is bash curl data urlencode annotators corenlp tokenize ssplit data urlencode q please annotate me http localhost 8080 annotate outputformat json now using wget would need many special cares so i recommend to use curl instead requirements here requires and reqruiementssatisfied describe the role of this annotator berkeleyparser intuitively the above description says berkeleyparser requires that the input text is already tokenized tokenize and after the annotation part of speech tags pos and parse tree parse are annotated on each sentence jigg checks with these kinds of information whether the given pipeline can be performed safely for example the following command will be failed bash java cp jigg pipeline pipeline annotators berkeleyparser annotator berkeleyparser requires tokenize annotators str list of annotator names e g corenlp tokenize ssplit berkeleyparser required berkeleyparser the error message says tokenize should be performed before running berkeleyparser parallel processing in the help message above we can see that berkeleyparser is implemented to be thread safe this means we can run berkeley parser in parallel which is not supported in the original software the most of supported annotators in jigg are implemented as thread safe meaning that annotation can be very efficient in a multi core environment to perform parallel annotation first prepare an input document whatever you want to analyze bash head input txt john blair co is close to an agreement to sell its tv station advertising representation operation and program production unit to an investor group led by james h rosenfield a former cbs inc executive industry sources said industry sources put the value of the proposed acquisition at more than 100 million john blair was acquired last year by reliance capital group inc which has been divesting itself of john blair s major assets then run jigg as follows bash java cp jigg pipeline pipeline annotators corenlp tokenize ssplit berkeleyparser file input txt or you can run jigg in pipe bash cat input txt java cp jigg pipeline pipeline annotators corenlp tokenize ssplit berkeleyparser output xml parallelization can be prohibited by giving nthreads 1 option bash cat input txt java cp jigg pipeline pipeline annotators corenlp tokenize ssplit berkeleyparser nthreads 1 output xml by default jigg tries to use as many threads as the machine can use on my laptop with 4 cores when annotating about 1000 sentences annotation with nthreads 1 takes about 154 seconds which is reduced to 79 seconds with parallel annotation you can also customize the number of threads for each annotator separately for example the following restrictes the number of threads of berkeleyparser to 2 while allow the corenlp to use 4 threads bash cat input txt java cp jigg pipeline pipeline annotators corenlp tokenize ssplit berkeleyparser nthreads 4 berkeleyparser nthreads 2 output xml full pipeline for english currently the main components in jigg are stanford corenlp while many components of stanford corenlp requries a model file it is included in the directory of the latest jigg above link so no need to download a model by yourself the following pipeline is one of full corenlp pipeline toward coreference resolution bash java cp jigg pipeline pipeline annotators corenlp tokenize ssplit parse lemma ner dcoref this is the usage of jigg just as a wrapper of stanford corenlp which may not be interesting more interesting example is to insert the berkeley parser into a pipeline of stanford corenlp bash java cp jigg pipeline pipeline annotators corenlp tokenize ssplit berkeleyparser corenlp lemma ner dcoref this command replaces the parser component in a corenlp pipeline with berkeley parser jigg alleviates to include a nlp tool into a pipeline as such the goal of jigg is to provide a platform on which a user can freely connect the tools to construct several nlp pipelines programmatic usage jigg pipeline can also be incorporated another java or scala project the easiest way to do this is add a dependency to maven in scala add the following line in the project build sbt scala librarydependencies com github mynlp jigg 0 8 0 in java add the following lines on pom xml xml dependencies dependency groupid com github mynlp groupid artifactid jigg artifactid version 0 8 0 version dependency dependencies jigg is written in scala so scala is the most preferable choice for a programmatic usage jigg provides a very similar interface to stanford corenlp scala import jigg pipeline pipeline import java util properties import scala xml node the behavior of pipeline can be customized with properties object which consists of the same options used in command line usages val props new properties props setproperty annotators corenlp tokenize ssplit berkeleyparser corenlp lemma ner dcoref the path to the model to the berkeley parser may be necessary props setproperty berkeleyparser grfilename path to eng sm6 gr pipeline is the main class which eats properties object val pipeline new pipeline props set the input text to be analyzed here val text string get the annotation result in scala s xml object node val annotation node pipeline annotate text the annotation result is obtained in scala xml object on which elements can be searched intuitively with expressions similar to x path the followings are an example scala val sentences seq node annotation sentence get all sentence elements for sentence sentences for each sentence val tokens sentence token get all tokens val nes sentence ne get all named entities for ne nes val tokenids ne tokens get the tokens attribute in a ne val netokens tokenids map id tokens find id id get form get surface form of each token consisting the ne println netokens mkstring print the detected ne on the result xml all annotated elements e g sentence token and ne are assigned unique ids so element search is basically based on these ids build your own jar advanced bash git clone git github com mynlp jigg git cd jigg bin sbt assembly the last command may take about 10 or 20 minutes including setup of scala and sbt this generates a self contained jar on target jigg assembly xxx jar where xxx is the current version number although this assembled jar is rather self contained several model files including the model files for berkeleyparser and jaccg are missing these can be obtained by bash wget https github com mynlp jigg models raw master jigg models jar and including it in the class path bash java cp target jigg assembly xxx jar jigg models jar jigg pipeline pipeline annotators note that in this usage the corenlp models should also be downloaded from the official homepage https stanfordnlp github io corenlp download html manually and included in your class path use docker to install docker follow the instruction https docs docker com install to build and run pipelineserver container bash git clone depth 1 https github com mynlp jigg git cd jigg curl sl https github com mynlp jigg models raw master jigg models jar o jar jigg models jar time docker compose build docker compose up d an example of the call via curl is bash curl data urlencode annotators ssplit kuromoji jaccg data urlencode q http localhost 8080 annotate outputformat xml supported annotators supported annotators in the current environment can be listed with the help command to see more details on each annotator try help annotator name see also command line usage command line usage citing in papers if you use jigg in research publications please cite hiroshi noji and yusuke miayo 2016 jigg a framework for an easy natural language processing pipeline http mynlp github io jigg data jigg acl2016 pdf in proceedings of the 54th annual meeting of the association for computational linguistics system demonstrations acknowledgements following sample files of ssplitkerasannotator bunsetsukerasannotator is generated by using bccwj corpus http pj ninjal ac jp corpus center bccwj trained model file src test resources data keras ssplit model h5 src test resources data keras bunsetsu model h5 lookup table file src test resources data keras jpnlookupcharacter json src test resources data keras jpnlookupwords json release note 0 8 0 many bug fixes kuromoji is modulated corenlp is upgraded to 3 9 1 support benepar and stanfordtypeddep combine them to obtain state of the art constituency and dependency parsers see help benear and help stanfordtypeddep 0 7 2 many improvements around ccg parsers including k best outputs of depccg and easyccg support of udpipe 0 7 1 bug fixes docker for jigg server annotators for ccg parsers candc easyccg and depccg 0 7 0 support corenlp 3 7 0 server mode several improvements including support of xml json inputs 0 6 1 bug fixes 0 6 1 new annotators syntaxnet coref in corenlp etc json output still incomplete bug fixes 0 6 0 the initial official release | ai |
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AndroidContactViewer | android contact viewer this project is a simple contact viewer application for a mobile development class mockup https msseguicourse mybalsamiq com mockups 695395 png key 790f81895812050eb89a6b825a961e343daf153d the problem people today have lots of email address and phone numbers its useful to have all this information on file in a mobile application but cumbersome to have to remember the best email or phone number to use the solution our contact viewer app will allow the user to manage infinate email address and phone numbers for any contact one email address will be marked as a default for emailing as well as a default phone for text messages and a default phone for traditional voice calling these defaults will be available for easy access when a user selects a contact the user can also drill into the contact to call any number or email and address on file for the contact contact list screen the contact list screen will be a simple scrollable table view showing the contacts name company and picture a search bar will allow filtering the list to find a contact more easily there is also a button in the title bar to add a new contact launch screen when the user taps a contacts row a launch screen will appear with buttons to call text message or email the contact there will also be a profile button that allows the user to view the full user profile profile screen the profile screen allows the user to see all of the user details and to initiate a text message phone call or email to any of the contacts numbers email address it also offers an edit button that allows the user to edit the contacts profile edit contact screen the edit profile screen allows the user to add and remove phone numbers and email address it also has a message bubble icon and a phone icon next to each of the phone numbers only one of each icon can be highlighted for all of a users phone numbers the number with the highlighted icon will be used for text messaging or phone calls from the launch screen each email has an email icon only one of which can be highlighted for all of a contacts email addresses the email with the highlighted icon will be used when sending email from the launch screen | front_end |
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SAMS | sams student auditorium management software an academic project created for software engineering course in iit kharagpur contributors 1 aniket choudhary https github com aniket1743 2 apurv kumar https github com apurv1205 | server |
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Uber-Data-engineering-Project | uber data engineering project this repository contains a data engineering project that leverages google cloud to transform uber ride flat file data into structured tables the process involves setting up a vm instance installing necessary python libraries and implementing etl processes this project focuses on the practical application of data engineering principles using uber ride data we are working with flat file data transforming it into structured fact and dimension tables and performing various operations for data extraction transformation and loading etl the project makes use of google cloud services particularly google cloud storage and google cloud bigquery for storing and analyzing the data dataset you can access the dataset from these urls website https www nyc gov site tlc about tlc trip record data page data dictionary https www nyc gov assets tlc downloads pdf data dictionary trip records yellow pdf key steps undertaken in this project data upload uber ride data is uploaded onto google cloud storage and set to public access creating virtual machine instance an instance on google cloud compute engine is created to run the necessary computations software installation installation of python pip and various essential libraries including mage pandas and google cloud libraries is done on the vm instance data extraction data is loaded from the public url created in the initial steps using mage data transformation the transformation block contains python code from a jupyter notebook file to convert the flat file data into structured dataframes data loading the transformed dataframes are loaded into google cloud bigquery for further analysis and querying this project demonstrates how to effectively utilize cloud resources for large scale data engineering tasks it is an excellent example of setting up and managing a data pipeline from extraction to transformation and loading etl using python and google cloud services please refer to the specific python scripts and commands in the repository for detailed step by step procedures | cloud |
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rankpin | introduction rankpin is designed to easily apply a ranking system with a simple setting in unity it provides a cost efficient method to simplify and speed up the process of unity application and game development process with a few clicks you will be able to apply a game ranking system features there are two functions of rankpin first is to save data onto the server and the second to retrieve the saved data saving data to server user data information e g name image url required in ranking ui score accumulated score used for ranking friend list upload self and friend s list data retrieving ranking data from server my ranking my ranking from all users my ranking between friends all ranking accumulated ranking for all users weekly all user ranking friend ranking accumulated all users ranking weekly friend ranking weekly ranking is refreshed on monday s documents html assets rankpin document rankpin english pdf rankpin korean pdf samples user data update update my information on server unique id is required to update alternatively you can upload various information in a hashtable format for user data internally hashtable data is converted into json format and size over 500 bytes will not be saved on server html reqeust private void updateuser hashtable data new hashtable data add name daniel data add url http xxx png this updateuser data response public override void onsuccessuser base onsuccessuser debug log update user informations public override void onfailuser string message base onfailuser message debug logwarning message score update perform operation of updating your ranking score information onto server scores are all ranking weekly ranking and friend ranking data score data uploads accumulated scores weekly rankings automatically determines current week s score from server html reqeust private void updatescore int score 102345 this updatescore uint score response public override void onsuccessscore base onsuccessscore debug log update score public override void onfailscore string message base onfailscore message debug logwarning message update friend list your friend s list must be uploaded to server in order to use friend ranking if you are not going to use this feature the list does not need to be uploaded friend s list must update user id of friend s list to server in arraylist html reqeust private void updatefriends arraylist friends new arraylist friends add 33 friends add 367 friends add 369 this updatefriends friends response public override void onsuccessfriends base onsuccessfriends debug log update friends list public override void onfailfriends string message base onfailfriends message debug logwarning message my ranking retrieves my ranking information you can retrieve my ranking from all weekly and friend ranking html reqeust private void requestrankme this rankme me response public override void onsuccesme int total int rank int score hashtable data base onsuccesme total rank score data debug log string format total 0 rank 1 score 2 total rank score public override void onfailme string message base onfailme message debug logwarning message all ranking retrieve ranking information from all users you can set offset and limit when retrieving ranking information offset ranking offset limit numbers of user s retrieved ranking data maximum of 50 html reqeust private void requestrank this rank total response public override void onsuccessrank int total arraylist users base onsuccessrank total users debug log string format total 0 total foreach hashtable user in users hashtablehelper print rank user hashtable data hashtable user rankpin rankconstants key data if data null continue hashtablehelper print data data public override void onfailrank string message base onfailrank message debug logwarning message | front_end |
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First-Aid-App-AndroidProject- | first aid app using android studio a mobile application development mini project on first aid application abstract in this report we present a first aid android app that gives assistance to any person suffering a sudden illness and injury in emergency case this app provides simple step by step instructions for guide user through everyday first aid scenario next first aid apps provide user the videos and animation for easy learning the user can call 999 the emergency number for the app at any time once the user downloads this android app from the google play store then they can use this app without using internet connection preloaded content means the users have instant access to all safety information at any time even without reception or an internet connection as offline mode then this app provides the interactive quizzes that allow the user to earn rank that they can share with their friends and show off their lifesaving knowledge in emergency case the user will use what type of illness or injury that happen then simple step by step instructions animation and videos will provide for each scenario the user can call 999 the emergency number if illness or injury is more critical and need ambulance the user can use the step as safety tips and treatment for minor conditions while wait for ambulance arrive at the place there are many situations that require first aid app and it can be used by untrained person problem statement we may have only few seconds to save a life when we are in an emergency is anything that we can do in an emergency until help arrives we should do because the only person we may have to depend on is ourselves first aid is the emergency care given to a victim of injury or sudden illness before professional medical help arrives cardiopulmonary resuscitation cpr is a lifesaving method or technique useful in many emergencies such as heart attack which someone s breathing or heartbeat has stopped it is method of combining chest compressions with rescue breathing to maintain a flow of oxygen rich blood to the brain while the heart is not working in malaysia the number one killer in terms of diseases and health problems is heart attack according to the world health organization who the total number of deaths in malaysia resulted from coronary heart disease was at 22 701 in 2010 this makes to about 22 18 percentages of the total deaths in the country heart disease is different from stroke which is the second top killer in malaysia so it can make different when everybody know how to do cardiopulmonary resuscitation cpr imagine one day that we find our friend lying on the floor and unconscious we have no idea how long he has been there and then run to call the ambulance while the ambulance is on their way that person is helpless and we can t do anything for help him wouldn t you want to possess the skills needed to help save him therefore learning cpr skills are important and it could mean the difference between life and death furthermore most popular injuries happen among teenagers and high school students were sling when our friends break their arms outside first we have to do is getting the person to support the injured arm with his hand next take the lower end of the bandage up over the hand forearm and tie it in the hollow just above the collarbone then pin the point near the elbow or twist and tuck it in first aid skill and knowledge is really important in our daily life functional requirements in software engineering a functional requirement defines a function of a software system or its component a function is described as a set of inputs the behaviour and outputs see also software functional requirements may be calculations technical details data manipulation and processing and other specific functionality that define what a system is supposed to accomplish behavioural requirements describing all the cases where the system uses the functional requirements are captured in use cases android phone to perform and display the functionality of the project android studio to create design test debug and run the android project mouse to navigate through the emulator basic system requirements for android studio microsoft windows mac linux operating system versio microsoft windows 7 8 10 32 or 64 bit the android emulator only supports 64 bit windows mac os x 10 10 yosemite or higher only up to 10 14 macos mojave gnome or kde desktop tested on linux based on debian 4 19 67 2 rodete2 random access memory ram 4 gb ram minimum 8 gb ram recommended free digital storage 2 gb of available digital storage minimum 4 gb recommended 500 mb for ide 1 5 gb for android sdk and emulator system image minimum required jdk version java development kit 8 minimum screen resolution 1280 x 800 objective everybody should know how to manage first aid because it is one of the most valuable skills we can ever have however not all of us would endeavor to have first aid certification and most would probably think that they don t need to be certified after all common situations like a child falling down would just entail a mother cleaning up the wound and applying a plaster to the wound but these are just the very basic first aid techniques that everyone knows how to do the main objective for the author to develop this application to develop an application that giving first aid knowledge to the user by using this application to provide global positioning system gps to the nearest hospital to test the user knowledge first aid by provide test for some situation in the application at this point it makes sense for everyone to learn first aid skills and require having this knowledge so we can help each other all we need to do is take advantage of them snapshots img src https user images githubusercontent com 65438508 131843902 aabfaac0 f181 44e9 bac7 cf506cfb09e0 png alt home page width 300 height 600 img src https user images githubusercontent com 65438508 131845532 5bd1cad3 3afb 4ed1 9439 72988eb929b5 png alt home page width 300 height 600 img src https user images githubusercontent com 65438508 131845849 fc3850d8 a377 4bb1 93c6 82d332fa5e25 png alt aid width 300 height 600 img src https user images githubusercontent com 65438508 131846004 3ee07751 d7f4 4bc6 8d6f e2bd29fe98e0 png alt aid width 300 height 600 img src https user images githubusercontent com 65438508 131848391 634f80f4 2e67 4265 a0fa 4618aae730a6 png alt aid width 300 height 600 | android-application androidstudio android-app android android-development android-sdk medicine-applications firstaid-assistant firstaid medicine-reminder 5thsemvtu application | front_end |
flatifycss | p align center a target blank href https amir2mi github io flatifycss img src https raw githubusercontent com amir2mi flatifycss master website static img logo gif alt flatifycss width 160 height 160 a p h3 align center flatifycss h3 p align center modern flat design framework for the web inspired by duolingo design system p p align center a target blank href https amir2mi github io flatifycss docs intro getting started a nbsp nbsp nbsp nbsp nbsp nbsp a target blank href https flatifycss com homepage a nbsp nbsp nbsp nbsp nbsp nbsp a target blank href https amir2mi github io flatifycss blog news a nbsp nbsp nbsp nbsp nbsp nbsp a target blank href https github com amir2mi flatifycss issues issues a nbsp nbsp nbsp nbsp nbsp nbsp a target blank href https react flatifycss com react components a p hr npm version https img shields io npm v flatifycss https www npmjs com package flatifycss packagist prerelease https img shields io packagist v amir2mi flatifycss https packagist org packages amir2mi flatifycss css gzip size https img badgesize io https raw githubusercontent com amir2mi flatifycss master dist css flatify min css compression gzip label css 20gzip https github com amir2mi flatifycss blob master dist css flatify min css css brotli size https img badgesize io https raw githubusercontent com amir2mi flatifycss master dist css flatify min css compression brotli label css 20brotli https github com amir2mi flatifycss blob master dist css flatify min css js gzip size https img badgesize io https raw githubusercontent com amir2mi flatifycss master dist js flatify min js label js 20gzip compression gzip https github com amir2mi flatifycss blob master dist js flatify min js js brotli size https img badgesize io https raw githubusercontent com amir2mi flatifycss master dist js flatify min js label js 20brotli compression brotli https github com amir2mi flatifycss blob master dist js flatify min js getting started flatifycss is available for users in many ways you can install it using package managers directly from cdn or even downloading the lastest project archive https github com amir2mi flatifycss archive master zip cdn here is jsdelivr https www jsdelivr com you can add flatifycss just with a single line of code html css link href https cdn jsdelivr net npm flatifycss dist css flatify min css rel stylesheet crossorigin anonymous javascript popperjs flatifycss script src https unpkg com popperjs core 2 crossorigin anonymous script script src https cdn jsdelivr net npm flatifycss dist js flatify min js crossorigin anonymous script package managers you can include flatifycss in your project with npm yarn or composer npm bash npm install flatifycss yarn bash yarn add flatifycss composer bash composer require amir2mi flatifycss contents after installing flatifycss with package managers or downloading the archive file there is a folder called dist where compiled css js and their map files are there inside this folder these files are provided css css files come with some options files with noprefix suffix do not have postcss autoprefixer https github com postcss autoprefixer while min means this file is minified and rtl is the special file for languages like arabic persian hebrew etc which direction is right to left flatify css flatify min css flatify noprefix css flatify noprefix min css flatify rtl css flatify rtl min css flatify rtl noprefix css flatify rtl noprefix min css js note that flatifycss needs popperjs https popper js org for dropdowns and popovers but this library is not included inside the javascript file of flatifycss so it is up to you to include it inside your webpage flatify js flatify min js development flatifycss gets compiled to css javascript using gulp to use gulp we need to install it globally with npm i gulp cli g then run npm install in the root directory of flatifycss if everything is okay we can run gulp in the root directory to compile the stylesheet and javascript file read more about flatifycss s gulp tasks here https amir2mi github io flatifycss docs overview development gulp support we appreciate your contribution it is the best way you can help us however if you want you can buy a coffee https www buymeacoffee com amir2mi | css flat web flat-design duolingo js sass responsive flat-css | os |
RTOS-Project | rtos project term project for cse345 real time and embedded systems design developed rtos with edf scheduling algorithm | os |
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argos | p align center a href https argos ci com utm source github utm medium logo target blank img src https raw githubusercontent com argos ci argos main resources logos logo github readme png alt argos width 300 height 61 a p argos is a visual testing solution that fits in your workflow to avoid visual regression takes screenshots on each commit and be notified if something changes argos visual testing https argos ci com badge svg https app argos ci com argos ci argos reference ci https github com argos ci argos actions workflows ci yml badge svg https github com argos ci argos actions workflows ci yml links docs https argos ci com docs examples https github com argos ci argos tree main examples discord https argos ci com discord contributing changes and improvements are more than welcome please make your changes in a specific branch and request to pull into main to learn more about it have a look at our contributing md contributing md | testing testing-tools visual-testing | front_end |
MAD-JOB-SPOTTER | mad job spotter this project is about a mobile application development for job seekers for apply for job openings | front_end |
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talkapp | talkapp talk is a fast and efficient application for temporary audio recording with a simple interactive and straightforward layout the user can easily understand the functionalities | typescript reactjs react-native expo-cli | front_end |
blockchain-vscode-extension | attention the ibm blockchain platform extension for vs code project is no longer active ibm blockchain platform extension for vs code the ibm blockchain platform extension helps developers to create test and debug smart contracts connect to hyperledger fabric environments and build applications that transact on your blockchain network for a step by step guide on getting started with the extension s features access our beginner tutorial via our integrated home page alternatively explore clone and open the hyperledger fabric samples all without leaving vs code for more comprehensive documentation follow this link https cloud ibm com docs services blockchain howto topic blockchain develop vscode ibp extension homepage media vscodeimage png want to learn more about the ibm blockchain platform join us for the ibm blockchain platform user series where product and technical experts share their expertise and educate on a specific feature function or capability of the ibm blockchain platform get the answers to your questions and engage live with the experts while ensuring you re leveraging all that the ibm blockchain platform has to offer click here to find out more information about the ibm blockchain platform user series webcast http ibm biz blockchainuserseries click here to schedule a free 1 1 consultation with an ibm blockchain platform expert https www ibm com blockchain platform schedulerform installation please visit the visual studio code marketplace https marketplace visualstudio com items itemname ibmblockchain ibm blockchain platform for installation and more details requirements the first time you install this extension it will check your system for the prequisites and guide you to install any that you are missing windows 10 linux or mac os are currently the supported operating systems each of these operating systems have their own additional requirements for the full list of requirements that the extension will check for please refer to the dependency installation dependency installation section at the end of the readme smart contract development lifecycle please note that all commands contributed by this extension are accessible via the vs code command palette the commands outlined below are available from burger menus located on the panel headers or by right clicking tree items in the extension s side bar view the expected smart contract development lifecycle follows several broad points all possible entirely within vs code using this extension 1 creating and packaging a smart contract 2 connecting to an instance of hyperledger fabric 3 deploying a smart contract 4 submitting transactions and generating functional level smart contract tests common tasks and how to complete them once you have installed the ibm blockchain platform vs code extension it is possible to access a large set of tutorials using the view tutorial gallery command the tutorial gallery is best place to start once you have installed the extension and will teach you mostly everything that you need to know some information on how to complete other undocumented tasks can be found here https github com ibm blockchain blockchain vscode extension wiki common tasks and how to complete them using transaction data files to submit a transaction useful commands the ibm blockchain platform extension provides an explorer and commands accessible from the command palette for developing smart contracts quickly table of commands with columns command and description command description add environment add a hyperledger fabric instance environment add gateway add a hyperledger fabric instance gateway add identity to wallet add an identity into a wallet to be used when connecting to a hyperledger fabric gateway add wallet add a wallet containing identities to be used when connecting to a gateway associate a wallet associate a wallet with a gateway to be used when connecting associate directory for transaction data associate a directory of transasction data with a smart contract associate identity with a node associate an identity with a node to enable the extension to connect to that node connect via gateway connect to a hyperledger fabric instance using a gateway create new project create a new smart contract project create identity register and enroll create register and enroll a new identity from the local fabric runtime certificate authority delete environment delete a hyperledger fabric instance environment delete identity delete an identity from a wallet delete gateway delete a hyperledger fabric instance gateway delete package delete a smart contract package deploy smart contract deploy a smart contract package to an environment dissociate a wallet remove the association between a wallet and a gateway dissociate directory for transaction data remove the association between a directory of transaction data and a smart contract disconnect from environment disconnect from the environment you re currently connected to disconnect from gateway disconnect from the blockchain gateway you re currently connected to export connection profile export connection profile for a blockchain gateway export package export a smart contract package to use outside vs code export wallet export a wallet to use outside vs code generate tests for all smart contracts create functional level test files for all contracts generate tests for smart contract s create functional level test files for single or multiple contracts import a package import a smart contract package import nodes into environment import more nodes into an environment open release notes open the release notes page package open project create a new smart contract package from a project in the explorer remove wallet remove a wallet from the fabric wallets view replace identity associated with a node replace which identity is associated with a node restart fabric runtime restart the local fabric instance start fabric runtime start the local fabric instance stop fabric runtime stop the local fabric instance subscribe to event subscribe to an event emitted from a smart contract teardown fabric environment teardown the local fabric runtime hard reset transact with smart contract submit evalutate transactions to deployed smart contracts upgrade smart contract upgrade an instantiated smart contract view homepage view the extensions homepage view sample gallery view the smart contract and application sample gallery view prerequisites view the required and optional dependencies on the prerequisites page dependency installation details summary click to view installation instructions summary the following dependencies are required on all operating systems vs code version 1 40 0 or greater https code visualstudio com vs code version can be found by running code version the following dependencies are optional node v10 v10 15 3 or greater or v12 v12 13 1 or greater and npm v6 x or greater https nodejs org en download node version can be found by running node version npm version can be found by running npm version if installing node and npm using a manager such as nvm or nodenv you will need to set the default global version and restart vs code for the version to be detected by the prerequisites page go version v1 12 or greater for developing go contracts https golang org dl go version can be found by running go version java v8 for developing java contracts https adoptopenjdk net variant openjdk8 java version can be found by running java version additional requirements for windows you are using windows 10 pro or enterprise and have the anniversary update 1607 1 org local fabric functionality this extension can use docker to run a simple pre configured local hyperledger fabric network on your machine by default this feature is enabled as we highly recommend using it however you may disable this feature if required you will need the following docker version v17 06 2 ce or greater https www docker com get docker docker version can be found by running docker version additional requirements for windows docker for windows is configured to use linux containers this is the default you will need to install openssl v1 0 2 openssl binaries https www openssl org community binaries html install the normal version not the version marked as light install the win64 version into c openssl win64 on 64 bit systems for more information see the 1 org local fabric 1 org local fabric section additional information to open the prerequisites page manually run the view prerequisites command inside vs code from the command palette please note the extension doesn t currently work with the vscode remote development feature we plan to make this work in the future follow progress here https github com ibm blockchain blockchain vscode extension issues 1357 details contact us if you have find any problems or want to make suggestions for future features please create issues and suggestions on github https github com ibm blockchain blockchain vscode extension issues just so you know the extension uses telemetry reporting to track usage data and help improve future extension versions disabling vs code telemetry reporting also disables the extension s telemetry reporting for instructions on how to disable telemetry reporting please visit the visual studio code faq https code visualstudio com docs supporting faq how to disable telemetry reporting license a name license a the source code files are made available under the apache license version 2 0 apache 2 0 located in the license license txt file this software uses the ibm plex sans font licensed under the sil open font license version 1 1 copyright 2017 ibm corp with reserved font name plex this font software is licensed under the sil open font license version 1 1 this license is copied below and is also available with a faq at http scripts sil org ofl | blockchain |
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halstack-angular | npm version https badge fury io js 40dxc technology 2fhalstack angular svg https www npmjs com dxc technology halstack angular github license https img shields io badge license apache blue svg https github com fxc technology halstack angular blob master license md prs welcome https img shields io badge prs welcome brightgreen svg https github com dxc technology halstack angular blob master contributing md publish next version https github com dxc technology halstack angular workflows publish 20next 20version badge svg publish release https github com dxc technology halstack angular workflows publish 20release badge svg halstack angular cdk halstack angular cdk is a npm library of reusable angular components made with the purpose of helping angular developers with the task of implementing user interfaces following the dxc design guidelines it increases visual and behavioral consistency across the applications using the library it cuts down development efforts taking the responsability of following the design guidelines away from the developer and allowing him to focus on providing business value usage halstack angular cdk is a set of reusable components distributed as a npm library see the documentation site https developer dxc com tools angular for details on how to use it contributing before opening new issues or pull requests please refer to contributing md https github com dxc technology halstack angular blob master contributing md development setup these instructions will get you a copy of the project up and running on your local machine for development and testing purposes the project is divided in two main folders one is for the actual library and the other one is a angular application using the library library contained in the projects dxc ngx cdk bash cd projects dxc ngx cdk install the library dependencies bash npm install run the build process into dist folder detecting and automatically building changes in src bash npm run build lib watch once the build is done copy the necessary files bash npm run post build lib or bash npm run post build lib win for windows based terminals or if there is no need to watch for changes run the build process and pack it to generate the library bash npm run generate lib or bash npm run generate lib win for windows based terminals documentation application contained in projects dxc ngx cdk site folder install the application dependencies bash npm install the halstack angular cdk needs to be linked to the application from the folder dist dxc ngx cdk this one must have been previously built as shown before bash npm run link lib or bash npm run unlink lib in case it needs to be unlinked you can create your own application and link it to the dist folder bash npm link path to dist folder start the application bash npm run start if you are watching for changes anytime you make a change to the library or the app angular cli will live reload your local dev server so you can iterate on your component in real time running the test run the tests from the library folder projects dxc ngx cdk after the library dependencies have been installed bash cd projects dxc ngx cdk npm run test | angular design-system ux cdk | os |
rails_engine_fe | this repo is using rails 5 and is deprecated consuming your rails engine api congratulations you ve written your first api just like the api you consumed for your week 1 project your rails engine api can be used by other projects now too for this challenge you will create a front end application that will make calls to your backend application the rails engine api you have just created setup just like your week 1 project this will be a new rails app you should fork this repository sh git clone rails engine fe ssh cd rails engine fe bundle bundle exec rake db create in config puma rb you ll notice that the port has changed from 3000 to 5000 this should be on or around line 12 we do this because rails engine is not in production or hosted somewhere other than localhost if rails engine is running on port 3000 our front end will need to have a different port so they can run at the same time now when we do rails s our front end application will automatically use port 5000 you can also do this manually every time you start your server by passing the port number with a p flag like so rails s p 5000 you should see that your server is listening on tcp localhost 5000 now instead of the usual 3000 ruby port env fetch port 5000 in order for your frontend to properly get data from your backend rails engine api you must keep your backend server running locally at the same time the challenge user story merchants as a visitor br when i visit merchants br i should see a list of merchants by name br and when i click the merchant s name br i should be on page merchants id br and i should see a list of items that merchant sells br br wireframe for merchants index docs rails engine challenge merchants png br br wireframe for merchants show docs rails engine challenge merchants show png extra practice if you have time or want extra practice complete this user story for items user story items as a visitor br when i visit items br i should see a list of items by name br and when i click the item s name br i should be on page items id br and i should see the name of the item description and unit price extension ideas create a search form on your root path to consume one of your part 2 endpoints to search for one merchant or all merchants by a name fragment wireframe for merchants show docs rails engine challenge search png learning review goals practice tdd consuming an api gain familiarity with service oriented architecture | front_end |
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VoCapXLM | vocapxlm code for emnlp2021 paper allocating large vocabulary capacity for cross lingual language model pre training https arxiv org pdf 2109 07306 pdf environment dockerfile dancingsoul pytorch vocapxlm manully build the sentencepiece with following command cd sentencepiece mkdir build cd build cmake make j nproc sudo make install sudo ldconfig v data preparation 1 create a folder with mkdir p monolingual text in the root of this project 2 sample monolingual corpus for each language individually move them to the monolingual text directory named after their language codes e g en txt 3 sample the multilingual corpus from monolingual corpora with the following command python sample multilingual corpus py lang prob path lang prob wiki json input dir monolingual text output path multilingual corpus text n sample n sample beta beta rescale where the options are described as follows lang prob path the probability of sampling training instances from each language during pre training lang prob wiki json is counted on wikipedia corpus and the probabilities are rescaled with alpha 0 7 from equation 3 in our paper n sample number of sentences in the multilingual corpus where the final multilingual sentencepiece model is trained the default value is 20000000 rescale further rescale the probability with another value beta from equation 2 in our paper beta the rescaling factor in equation 2 the default value is 0 7 training monolingual sentencepiece models train monolingual sentencepiece models in different sizes to obtain vocabularies with different alp i e language specific vocabulary capacity python train mono spm py input dir monolingual text output dir monolingual spm languages all languages min vocab size min vocab size max vocab size max vocab size delta vocab size delta vocab size n sample n sample where the options are described as follows languages all languages under the monolingual text directory separated with e g en fr zh min vocab size minimum vocabulary size allocated for each language the default value is 1000 max vocab size maximum vocabulary size allocated for each language the default value is 50000 delta vocab size the value of interval to learn vocabularies the default value is 1000 n sample the number of sentences to calculate alp for each language the default value is 1000000 or you can download our pre trained monolingual sentencepiece models and vocabularies from here 2 allocating multilingual vocabulary allocate the multilingual vocabulary from monolingual vocabularies python train vocap py lang prob path lang prob wiki json input dir monolingual spm output path multilingual vocab beta beta rescale target vocab size target vocab size where the options are described as follows lang prob path same as the above rescale same as the above beta same as the above target vocab size the desired vocabulary size of the multilingual vocabulary the default value is 500000 then use sentencepiece to train the tokenizer given the multilingual vocabulary spm train input multilingual corpus text model prefix model name vocab size target vocab size character coverage 0 9995 model type unigram shuffle input sentence true input sentence size input sentence size vocab path multilingual vocab where the options are described as follows model prefix output model name prefix model name model and model name vocab are generated character coverage amount of characters covered by the model vocab size same as target vocab size vocab path the required subwords in the final learned tokenizer paper please cite our paper cite bo2021vocapxlm if you found the resources in the repository useful inproceedings bo2021vocapxlm author bo zheng li dong shaohan huang saksham singhal wanxiang che ting liu xia song furu wei booktitle proceedings of emnlp 2021 title allocating large vocabulary capacity for cross lingual language model pre training year 2021 reference 1 https github com google sentencepiece 2 https drive google com file d 1vttge30xo i1ig5xsmf 7r4ab2sa5j9f view usp sharing | ai |
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coursera-hse-nlp | coursera hse nlp | ai |
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spark-py-notebooks | spark python notebooks join the chat at https gitter im jadianes spark py notebooks https badges gitter im join 20chat svg https gitter im jadianes spark py notebooks utm source badge utm medium badge utm campaign pr badge utm content badge this is a collection of ipython notebook http ipython org notebook html jupyter https jupyter org notebooks intended to train the reader on different apache spark http spark apache org concepts from basic to advanced by using the python language if python is not your language and it is r you may want to have a look at our r on apache spark sparkr notebooks https github com jadianes spark r notebooks instead additionally if your are interested in being introduced to some basic data science engineering you might find these series of tutorials https github com jadianes data science your way interesting there we explain different concepts and applications using python and r instructions a good way of using these notebooks is by first cloning the repo and then starting your own ipython notebook http ipython org notebook html jupyter https jupyter org in pyspark mode for example if we have a standalone spark installation running in our localhost with a maximum of 6gb per node assigned to ipython master spark 127 0 0 1 7077 spark executor memory 6g ipython opts notebook pylab inline spark 1 5 0 bin hadoop2 6 bin pyspark notice that the path to the pyspark command will depend on your specific installation so as requirement you need to have spark installed https spark apache org docs latest index html in the same machine you are going to start the ipython notebook server for more spark options see here https spark apache org docs latest spark standalone html in general it works the rule of passing options described in the form spark executor memory as spark executor memory when calling ipython pyspark datasets we will be using datasets from the kdd cup 1999 http kdd ics uci edu databases kddcup99 kddcup99 html the results of this competition can be found here http cseweb ucsd edu elkan clresults html references the reference book for these and other spark related topics is learning spark by holden karau andy konwinski patrick wendell and matei zaharia notebooks the following notebooks can be examined individually although there is a more or less linear story when followed in sequence by using the same dataset they try to solve a related set of tasks with it rdd creation https github com jadianes spark py notebooks blob master nb1 rdd creation nb1 rdd creation ipynb about reading files and parallelize rdds basics https github com jadianes spark py notebooks blob master nb2 rdd basics nb2 rdd basics ipynb a look at map filter and collect sampling rdds https github com jadianes spark py notebooks blob master nb3 rdd sampling nb3 rdd sampling ipynb rdd sampling methods explained rdd set operations https github com jadianes spark py notebooks blob master nb4 rdd set nb4 rdd set ipynb brief introduction to some of the rdd pseudo set operations data aggregations on rdds https github com jadianes spark py notebooks blob master nb5 rdd aggregations nb5 rdd aggregations ipynb rdd actions reduce fold and aggregate working with key value pair rdds https github com jadianes spark py notebooks blob master nb6 rdd key value nb6 rdd key value ipynb how to deal with key value pairs in order to aggregate and explore data mllib basic statistics and exploratory data analysis https github com jadianes spark py notebooks blob master nb7 mllib statistics nb7 mllib statistics ipynb a notebook introducing local vector types basic statistics in mllib for exploratory data analysis and model selection mllib logistic regression https github com jadianes spark py notebooks blob master nb8 mllib logit nb8 mllib logit ipynb labeled points and logistic regression classification of network attacks in mllib application of model selection techniques using correlation matrix and hypothesis testing mllib decision trees https github com jadianes spark py notebooks blob master nb9 mllib trees nb9 mllib trees ipynb use of tree based methods and how they help explaining models and feature selection spark sql structured processing for data analysis https github com jadianes spark py notebooks blob master nb10 sql dataframes nb10 sql dataframes ipynb in this notebook a schema is inferred for our network interactions dataset based on that we use spark s sql dataframe abstraction to perform a more structured exploratory data analysis applications beyond the basics close to real world applications using spark and other technologies olssen on line spectral search engine for proteomics https github com jadianes olssen same tech stack this time with an angularjs client app an on line movie recommendation web service https github com jadianes spark movie lens this tutorial can be used independently to build a movie recommender model based on the movielens dataset most of the code in the first part about how to use als with the public movielens dataset comes from my solution to one of the exercises proposed in the cs100 1x introduction to big data with apache spark by anthony d joseph on edx https www edx org course introduction big data apache spark uc berkeleyx cs100 1x that is also publicly available since 2014 at spark summit https databricks training s3 amazonaws com movie recommendation with mllib html there i ve added with minor modifications to use a larger dataset and also code about how to store and reload the model for later use on top of that we build a flask web service so the recommender can be use to provide movie recommendations on line kdd cup 1999 https github com jadianes kdd cup 99 spark my try using spark with this classic dataset and knowledge discovery competition contributing contributions are welcome for bug reports or requests please submit an issue https github com jadianes spark py notebooks issues contact feel free to contact me to discuss any issues questions or comments twitter ja dianes https twitter com ja dianes github jadianes https github com jadianes linkedin jadianes https www linkedin com in jadianes website jadianes me http jadianes me license this repository contains a variety of content some developed by jose a dianes and some from third parties the third party content is distributed under the license provided by those parties the content developed by jose a dianes is distributed under the following license copyright 2016 jose a dianes licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license | spark python pyspark data-analysis mllib ipython-notebook notebook ipython data-science machine-learning big-data bigdata | ai |
libinimini | libinimini xr872 ini ini fopen fgets malloc linux rtos c fatfs ram ini ram ram ini libinimini libinimini libinimini libinimini atoi c typedef struct getline cb ini buf size contex 0 0 unsigned int getline cb char buf unsigned int size void contex libinimini buffer ops ini typedef struct const char section ini const char keyname ini const char strval ini libinimini data t libinimini result fun data contex lib inimini keep lib inimini stop typedef int libinimini result fun libinimini data t data void contex typedef struct libinimini buffer ops ops libinimini result fun result void contex libinimini parameter t libinimini foreach ini para cache size ini int libinimini foreach libinimini parameter t para char cache unsigned int size sys config ini images sys config png sys config sample freertos xr872 c main c v1 0 0 libinimini lmx include stdio h include string h include fs fatfs ff h include kernel os os h include src libinimini h include common framework fs ctrl h include common framework platform init h libinimini lib inimini stop lib inimini keep static int inimini result cb libinimini data t data void context printf section 20s keyname 30s strval 30s n data section data keyname data strval if strcmp data section compass para 0 strcmp data keyname compass int 0 printf n printf s n data section printf s s n data keyname data strval printf n return lib inimini stop return lib inimini keep libinimini 0 0 static unsigned int inimini getline cb char buf unsigned int size void context fil fp fil context if f gets buf size fp null return lib inimini stop return unsigned int strlen buf int main void fil file static char cache 512 0 libinimini parameter t para platform init if fs ctrl mount fs mnt dev type sdcard 0 fs mnt status mount ok printf fs mount failed n while 1 os sleep 1 if f open file sys config ini fa read fa open existing fr ok printf open file failed n while 1 os sleep 1 memset para 0x00 sizeof libinimini parameter t para contex file para result inimini result cb para ops getline cb inimini getline cb libinimini foreach para cache sizeof cache f close file printf libinimini foreach done n while 1 os sleep 1 return 0 images sample xr872 png xr872 example sample windows linux c main c v1 0 0 libinimini windows linux lmx include stdio h include string h include src libinimini h libinimini lib inimini stop lib inimini keep static int inimini result cb libinimini data t data void context printf section 20s keyname 30s strval 30s n data section data keyname data strval if strcmp data section compass para 0 strcmp data keyname compass int 0 printf n printf s n data section printf s s n data keyname data strval printf n return lib inimini stop return lib inimini keep libinimini 0 0 static unsigned int inimini getline cb char buf unsigned int size void contex file fp file contex if fgets buf size fp null return lib inimini stop return strlen buf int main void char inimini cache 1024 0 libinimini parameter t para file fp fopen f sys config ini r if null fp printf open file failed n return 0 memset para 0x00 sizeof libinimini parameter t para contex fp para result inimini result cb para ops getline cb inimini getline cb int cnt libinimini foreach para inimini cache sizeof inimini cache fclose fp printf libinimini foreach done n return 0 images sample windows linux png windows linux example | os |
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prompt-engine-py | prompt engine this repo contains a python utility library for creating and maintaining prompts for large language models llms background llms like gpt 3 and codex have continued to push the bounds of what ai is capable of they can capably generate language and code but are also capable of emergent behavior like question answering summarization classification and dialog one of the best techniques for enabling specific behavior out of llms is called prompt engineering crafting inputs that coax the model to produce certain kinds of outputs few shot prompting is the discipline of giving examples of inputs and outputs such that the model has a reference for the type of output you re looking for prompt engineering can be as simple as formatting a question and passing it to the model but it can also get quite complex requiring substantial code to manipulate and update strings this library aims to make that easier it also aims to codify patterns and practices around prompt engineering see how to get codex to produce the code you want https microsoft github io prompt engineering article for an example of the prompt engineering patterns this library codifies installation pip install prompt engine py usage the library currently supports a generic promptengine a codeengine and a chatengine all three facilitate a pattern of prompt engineering where the prompt is composed of a description examples of inputs and outputs and an ongoing dialog representing the ongoing input output pairs as the user and model communicate the dialog ensures that the model which is stateless has the context about what s happened in the conversation so far see architecture diagram representation img src https user images githubusercontent com 17247257 178356452 03a69f87 aa09 459b 83d8 eeedba634b39 png width 500 code engine code engine creates prompts for natural language to code scenarios see python syntax for importing codeengine and pythoncodeengineconfig py from prompt engine code engine import codeengine pythoncodeengineconfig nl code prompts should generally have a description which should give context about the programming language the model should generate and libraries it should be using the description should also give information about the task at hand py description natural language commands to javascript math code the code should log the result of the command to the console nl code prompts should also have examples of nl code interactions exemplifying the kind of code you expect the model to produce in this case the inputs are math queries e g what is 2 2 and code that console logs the result of the query py from prompt engine interaction import interaction examples interaction what s 10 plus 18 console log 10 18 interaction what s 10 times 18 console log 10 18 by default codeengine uses python as the programming language but you can create prompts for different languages by passing a different codeengineconfig into the constructor if for example we wanted to produce javascript prompts we could have passed codeengine a javascript config specifying the comment operator it should be using py javascript config codeengineconfig description comment operator description comment close operator comment operator comment close operator code engine codeengine config javascript config description description examples examples with our description and our examples we can use it to create prompts py query what s 1018 times the ninth power of four prompt code engine build prompt query the resulting prompt will be a string with the description examples and the latest query formatted with comment operators and line breaks js natural language commands to javascript math code the code should log the result of the command to the console what s 10 plus 18 console log 10 18 what s 10 times 18 console log 10 18 what s 1018 times the ninth power of four given the context a capable code generation model can take the above prompt and guess the next line print 1018 4 9 for multi turn scenarios where past conversations influences the next turn code engine enables us to persist interactions in a prompt py assumes existence of code generation model code model generate code prompt adds interaction code engine add interaction query code now new prompts will include the latest nl code interaction py code engine build prompt how about the 8th power produces a prompt identical to the one above but with the nl code dialog history js what s 1018 times the ninth power of four console log 1018 4 9 how about the 8th power with this context the code generation model has the dialog context needed to understand what we mean by the query in this case the model would correctly generate print 1018 4 8 chat engine just like code engine chat engine creates prompts with descriptions and examples see python syntax for importing codeengine and pythoncodeengineconfig py from prompt engine chat engine import chatengine chatengineconfig the difference is that chat engine creates prompts for dialog scenarios where both the user and the model use natural language the chatengine constructor takes an optional config argument which allows you to define the name of a user and chatbot in a multi turn dialog py config chatengineconfig user name abhishek bot name gordon chat prompts also benefit from a description that gives context this description helps the model determine how the bot should respond py description a conversation with gordon the anxious robot gordon tends to reply nervously and asks a lot of follow up questions similarly chat engine prompts can have examples interactions py from prompt engine interaction import interaction examples interaction who made you i don t know man that s an awfully existential question how would you answer it interaction good point do you at least know what you were made for i m ok at riveting but that s not how i should answer a meaning of life question is it these examples help set the tone of the bot in this case gordon the anxious robot now we can create our chatengine and use it to create prompts py chat engine chatengine chatengineconfig description examples user query what are you made of prompt chat engine build prompt user query when passed to a large language model e g gpt 3 the context of the above prompt will help coax a good marvin like answer from the model like subatomic particles at some level but somehow i don t think that s what you were asking as with code engine we can persist this answer and continue the dialog such that the model is aware of the conversation context py chatengine add interaction user query subatomic particles at some level but somehow i don t think that s what you were asking dynamic prompt engine dynamic prompt engine is another behaviour constructed on top of prompt engine that enables dynamic retrieval of the relevant examples in order to generate a prompt it is developed with the belief that giving more relevant examples to the large language model will enable it to generate a better output and much closer to our examples rather than leaving it to guess for itself this also allows the ability to coax multiple behaviours out of the large language model instead of having to maintain mutliple different prompts the dynamic prompt engine maintains a prompt bank which is a collection of embeddings of all the examples and interactions that have been provided to it when given a new unseen prompt it queries the prompt bank based on the embeddings to retrieve the top k relevant examples and adds them to the examples section of the prompt engine output img width 600 alt image src https user images githubusercontent com 17247257 181765992 5a645f56 e463 4c96 98c9 814efd1b8a17 png managing prompt overflow prompts for large language models generally have limited size depending on the language model being used given that prompt engine can persist dialog history it is possible for dialogs to get so long that the prompt overflows the prompt engine pattern handles this situation by removing the oldest dialog interaction from the prompt effectively only remembering the most recent interactions you can specify the maximum tokens allowed in your prompt by passing a max tokens parameter when constructing the config for any prompt engine py from prompt engine model config import modelconfig config promptengineconfig modelconfig max tokens 1024 available functions the following are the functions available on the promptengine class and those that inherit from it command parameters description returns build context none constructs and return the context with parameters provided to the prompt engine context string build prompt prompt string combines the context from build context with a query to create a prompt prompt string build dialog none builds a dialog based on all the past interactions added to the prompt engine dialog string add example interaction interaction input string response string adds the given example to the examples none add interaction interaction interaction input string response string adds the given interaction to the dialog none remove first interaction none removes and returns the first interaction in the dialog interaction interaction remove last interaction none removes and returns the last interaction added to the dialog interaction interaction reset context none removes all interactions from the dialog effectively resetting the context to just description and examples context string for more examples and insights into using the prompt engine library have a look at the examples https github com microsoft prompt engine py tree main examples folder yaml representation it can be useful to represent prompts as standalone files versus code this can allow easy swapping between different prompts prompt versioning and other advanced capabiliites with this in mind prompt engine offers a way to represent prompts as yaml and to load that yaml into a prompt engine class see examples yaml examples for examples of yaml prompts and how they re loaded into prompt engine contributing this project welcomes contributions and suggestions most contributions require you to agree to a contributor license agreement cla declaring that you have the right to and actually do grant us the rights to use your contribution for details visit https cla opensource microsoft com when you submit a pull request a cla bot will automatically determine whether you need to provide a cla and decorate the pr appropriately e g status check comment simply follow the instructions provided by the bot you will only need to do this once across all repos using our cla this project has adopted the microsoft open source code of conduct https opensource microsoft com codeofconduct for more information see the code of conduct faq https opensource microsoft com codeofconduct faq or contact opencode microsoft com mailto opencode microsoft com with any additional questions or comments statement of purpose this library aims to simplify use of large language models and to make it easy for developers to take advantage of existing patterns the package is released in conjunction with the build 2022 ai examples https github com microsoft build2022 ai examples as the first three use a multi turn llm pattern that this library simplifies this package works independently of any specific llm prompt generated by the package should be useable with various language and code generating models trademarks this project may contain trademarks or logos for projects products or services authorized use of microsoft trademarks or logos is subject to and must follow microsoft s trademark brand guidelines https www microsoft com en us legal intellectualproperty trademarks usage general use of microsoft trademarks or logos in modified versions of this project must not cause confusion or imply microsoft sponsorship any use of third party trademarks or logos are subject to those third party s policies | ai |
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Project-A-Level | application for alevel students to get help with notes a new flutter project getting started this project is a starting point for a flutter application a few resources to get you started if this is your first flutter project lab write your first flutter app https flutter dev docs get started codelab cookbook useful flutter samples https flutter dev docs cookbook for help getting started with flutter view our online documentation https flutter dev docs which offers tutorials samples guidance on mobile development and a full api reference | front_end |
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pywebcookbook | https github com dittos pywebcookbook blob master index md dittos https github com dittos darjeeling https github com darjeeling | front_end |
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sqlite_python | learning database engineering with python s sqlite3 | server |
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alchemy-os | alchemy os project alchemy os is a software development and distribution platform for mobile phones with java support although this is not an operating system in the full sense it provides rich platform to develop compile and run applications directly in the phone as well as install applications written by others support if you have any questions you are most welcome in our mailing list mailto alchemy os googlegroups com google group page http groups google com group alchemy os license alchemy os is free software and is licensed under the terms of the gnu general public license version 3 copyright c 2011 2013 sergey basalaev homepage http alchemy os org | abandoned | front_end |
654fa19 | information technologies at pratt si welcome to 654 we re using github this semester as a tool for distributing files and as a method of helping folks get more acquainted with code editors and open tools etc see below for basic headline info but see the syllabus syllabus section for the formal full course information documents and the assignments assignments folder for the descriptions of materials you will turn in see you in class identifier info 654 04 credits 3 day and time wednesday 06 30pm 09 20pm location manhattan room 606 instructors josh hadro you can call me josh pronouns he his ashley blewer you can call me ashley pronouns she hers office hours by appointment course etherpad https etherpad net p prattsi654fa19 1 https etherpad net p prattsi654fa19 1 increment last digit for subsequent class numbers e g 2 for class session 2 6 for class session 6 etc course wordpress site https commons pratt edu prattsi654fa19 https commons pratt edu prattsi654fa19 invitations and logins to come course hashtag info654 https twitter com search f tweets q 23info654 src typd optional publishing everything in this repo as cc by see license license md a rel license href http creativecommons org licenses by 4 0 img alt creative commons license style border width 0 src https i creativecommons org l by 4 0 88x31 png a br this work is licensed under a a rel license href http creativecommons org licenses by 4 0 creative commons attribution 4 0 international license a | museums lis libraries archives education information-science information-technology glam | server |
avalanche-explorer | deprecation notice this project is deprecated and the avalanche explorer is in the process of being migrated to the subnet explorer https subnets avax network instead as such some urls will redirect to the new explorer experience as it is developed starting with the home page and c chain page avalanche explorer frontend vue js application for displaying avalanche network activity and blockchains data from the ortelius indexer https github com ava labs ortelius and avalanche go client https github com ava labs gecko prerequisites node v14 installation 1 yarn install development 1 yarn serve project runs with hot reloading when you go to the app on your browser you might get a warning saying site is not secure this is because we are signing our own ssl certificates please ignore and continue to the website the homepage currently redirects to the subnet explorer so to view the app you ll need to go to a specific blockchain url such as https localhost 8081 blockchain 11111111111111111111111111111111lpoyy configuration see env by default the avalanche explorer interfaces with the everest test network for local development against ortelius and avalanche go use the docker container setup by the ortelius team info can be found here https github com ava labs ortelius quick start with standalone mode you can also connect to a local network you setup yourself install and run instances by following the instructions found in each lib data indexing backend ortelius https github com ava labs ortelius avalanche clients via avalanche go https github com ava labs gecko or avash https github com ava labs avash once those are stood up and running run yarn serve local the application will use the configs in the env hosted file as the base urls for ortelius and avalanche go services when creating http requests do so from a service abstraction layer refer to src service for an example the http layer models and helpers should all be centralized into this layer known addresses the file src known addresses ts is a dictionary that maps an address to a name this can be customized freely | blockchain |
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stride-testnet | h1 align center stride poll party h1 selamlar bug n stride node testnetine kat laca z sorular n stride t rkiye https t me strideturkish image https user images githubusercontent com 101149671 180230551 dbc0d5f0 b087 483f 9e7a 95711a820209 png sistem gereksinimleri benim nerim cpu ram k sm nda ekibin nerisi daha y ksek 4 cpu 8 ram 160 gb ssd h1 align center sifirdan kurulum yapacaklar n h1 kurulum wget q o stride sh https api rues info stride sh chmod x stride sh sudo bin bash stride sh c zdan olu turma not edin kaydedin strided keys add walletname discordan test tokeni alma discord linki https discord gg 4b4cbvch image https user images githubusercontent com 101149671 180231116 4eaae21a 184c 4204 a3f1 e7ac945e1455 png validator olu turma mon ker ve from k s mlar n d zenleyin strided tx staking create validator amount 9900000ustrd pubkey strided tendermint show validator moniker ruesvalidator chain id stride testnet 2 commission rate 0 10 commission max rate 0 20 commission max change rate 0 1 min self delegation 1 fees 250ustrd gas 200000 from rues website http forum rues info details https linktr ee ruesandora0 y h1 align center daha nce val dator olu turanlar n h1 tek kalemde hepsini kopyalay p terminale yap t r n sudo systemctl stop strided cd home rm rf stride git clone https github com stride labs stride git cd stride git checkout 3cb77a79f74e0b797df5611674c3fbd000dfeaa1 make build sudo cp home stride build strided usr local bin wget o home stride config addrbook json https github com mmc6185 node testnets blob main stride addrbook json raw true wget qo home stride config genesis json https raw githubusercontent com stride labs testnet main poolparty genesis json seeds c0b278cbfb15674e1949e7e5ae51627cb2a2d0a9 seedv2 poolparty stridenet co 26656 http c0b278cbfb15674e1949e7e5ae51627cb2a2d0a9 seedv2 poolparty stridenet co 26656 peers d6583df382d418872ab5d71d45a1a8c3d28ff269 138 201 139 175 21016 05d7b774620b7afe28bba5fa9e002b436786d4c3 195 201 165 123 20086 d28cfff8b2fe03b597f67c96814fbfd19085b7c3 168 119 124 158 26656 a9687b78c13d39d2f96ec0905c6aa201671f61f0 78 107 234 44 25656 6922feb0ca2eab2be07d60fbfd275319bcd83ec9 77 244 66 222 26656 48b1310bc81deea3eb44173c5c26873c23565d33 34 135 129 186 26656 a3afae256ad780f873f85a0c377da5c8e9c28cb2 54 219 207 30 26656 dd93bd24192d8d3151264424e44b0f213d2334dc 162 55 173 64 26656 d46c3c3de3aacb7c75bbbbf1fe5c168f0c100f26 135 181 131 116 26683 c765007c489ddbcb80249579534e63d7a00407d0 65 108 225 158 22656 sed i e s seeds seeds seeds s persistent peers persistent peers peers home stride config config toml sed i bak e s enable space space 1false home stride config config toml strided tendermint unsafe reset all home home stride sudo systemctl start strided journalctl fu strided o cat e le tikten sonra validator olu turun mon ker ve from k s mlar n d zenleyin strided tx staking create validator amount 9900000ustrd pubkey strided tendermint show validator moniker ruesvalidator chain id stride testnet 2 commission rate 0 10 commission max rate 0 20 commission max change rate 0 1 min self delegation 1 fees 250ustrd gas 200000 from rues website http forum rues info details https linktr ee ruesandora0 y h1 align center peer sorunu ya arsan z tek komutta h1 yukarda sorun almazsaniz yapmayin sifirdan ba larsiniz sudo systemctl stop strided cd home rm rf stride git clone https github com stride labs stride git cd stride git checkout 3cb77a79f74e0b797df5611674c3fbd000dfeaa1 make build sudo cp home stride build strided usr local bin sed i bak e s enable space space 1false home stride config config toml strided tendermint unsafe reset all home home stride seeds peers 48b1310bc81deea3eb44173c5c26873c23565d33 34 135 129 186 26656 0f45eac9af97f4b60d12fcd9e14a114f0c085491 stride library poolparty stridenet co 26656 http 0f45eac9af97f4b60d12fcd9e14a114f0c085491 stride library poolparty stridenet co 26656 sed i bak e s seeds seeds seeds s persistent peers persistent peers peers home stride config config toml wget o home stride config addrbook json https github com mmc6185 node testnets blob main stride addrbook json raw true snap rpc https stride library poolparty stridenet co 443 latest height curl s snap rpc block jq r result block header height block height latest height 1000 trust hash curl s snap rpc block height block height jq r result block id hash echo latest height block height trust hash sed i bak e s enable space space 1true s rpc servers space space 1 snap rpc snap rpc s trust height space space 1 block height s trust hash space space 1 trust hash s seeds space space 1 home stride config config toml sudo systemctl restart strided journalctl u strided f o cat explorer kontrol explorer linki https stride explorers guru sorular i in https t me strideturkish discorddan role requestten rol de alab l rs n z hesaplar img src https cdn icons png flaticon com 512 733 733579 png width 16px twitter https twitter com ruesandora0 img src https cdn icons png flaticon com 512 1336 1336494 png width 16px forum https forum rues info index php img src https cdn icons png flaticon com 512 2111 2111646 png width 16px telegram announcement https t me ruesannouncement img src https cdn icons png flaticon com 512 2111 2111646 png width 16px telegram chat https t me l6gpqinoxfimtvk discord https discord gg ruescommunity | blockchain | blockchain |
awesome-cantonese-nlp | awesome cantonese nlp nlp facebook govnews hk https www facebook com govnews hk latest 2020 01 07 20 22 31 pst crawled with rugantio fbcrawl https github com rugantio fbcrawl corpus name size licence link br hong kong cantonese corpus hkcancor hong kong cantonese corpus hkcancor http compling hss ntu edu sg hkcancor br fcbond hkcancor https github com fcbond hkcancor br malaysia cantonese corpus mycancor liesenf mycancor https github com liesenf mycancor database of the 19th century 1865 1894 cantonese christian writings br 1865 1894 https www polyu edu hk cbs hkchristdb http database shss ust hk candbase http database shss ust hk cantag http database shss ust hk cantag https hkcc eduhk hk v1 introduction html br https github com indiejoseph hkcc corpus br database of early chinese dialects http database shss ust hk 5dialects index html br the early cantonese bible database https corpus eduhk hk cantobible lihkg scraper ayaka14732 lihkg scraper https github com ayaka14732 lihkg scraper tools name description license link cifu a frequency lexicon for hong kong cantonese gpl 3 0 gwinterstein cifu https github com gwinterstein cifu tojyutping cantonese pronunciation automatic labeling tool cc by 4 0 license tojyutping https github com canclid tojyutping pycantonese cantonese linguistics and nlp in python mit jacksonlee pycantonese https github com jacksonllee pycantonese api name description link api https fanyi api baidu com useful links dump https dumps wikimedia org zh yuewiki reference materials for yue cantonese wordshk yue references https github com wordshk yue references nlp https t me cantonesenlp | cantonese corpus corpora nlp | ai |
docker-tutorial | docker for local web development part 1 a basic lemp stack this repository accompanies a tutorial series https tech osteel me posts docker for local web development why should you care docker for local web development introduction why should you care about leveraging docker for local web development the current branch covers part 1 of the series which is about setting up a basic lemp stack with docker compose please refer to the full article https tech osteel me posts docker for local web development part 1 a basic lemp stack docker for local web development part 1 a basic lemp stack for a detailed explanation content this branch contains a basic lemp stack running on docker and orchestrated by docker compose including a container for nginx a container for php fpm a container for mysql a container for phpmyadmin a volume to persist mysql data prerequisites make sure docker desktop for mac or pc https www docker com products docker desktop is installed and running or head over here https docs docker com install if you are a linux user you will also need a terminal running git https git scm com this setup also uses localhost s port 80 so make sure it is available directions of use add the following domain to your machine s hosts file 127 0 0 1 php test clone the repository and change the current directory for the project s root git clone git github com osteel docker tutorial git cd docker tutorial copy env example to env cp env example env run the following command docker compose up d this may take a little bit of time as some docker images might need downloading once the script is done visit php test http php test explanation the images used by the setup are listed and configured in docker compose yml https github com osteel docker tutorial blob part 1 docker compose yml when building and starting the containers based on the images for the first time a mysql database named demo is automatically created you can pick a different name in the mysql service s description in docker compose yml a minimalist nginx configuration https github com osteel docker tutorial blob part 1 docker nginx conf d php conf for the php application is also copied over to nginx s container making it available at php test http php test the src directory containing the application is mounted onto both nginx s and the application s containers meaning any update to the code is immediately available upon refreshing the page without having to rebuild any container the database data is persisted in its own local directory through the volume mysqldata which is mounted onto mysql s container a phpmyadmin interface is available at localhost 8080 http localhost 8080 the database credentials are root root please refer to the full article https tech osteel me posts docker for local web development part 1 a basic lemp stack docker for local web development part 1 a basic lemp stack for a detailed explanation cleaning up to stop the containers docker compose stop to destroy the containers docker compose down to destroy the containers and the associated volumes docker compose down v to remove everything including images and orphan containers docker compose down v rmi all remove orphans | docker webdevelopment docker-compose laravel php | front_end |
awesome-tech-roles | awesome tech roles awesome https awesome re badge svg https github com sindresorhus awesome tech adjacent job titles roles career paths by role and responsibility in software and information technology it ict tech organizations or organization that sees themselves as technology driven and embraces a product mindset this list does not cover non tech industry enterprises consulting firms managed service providers service delivery firms or startups as many roles in those e g architect program manager have different often hierarchical or organizational meaning e g analyst manager operations this list ist not a definition but an observation contents role overviews role overviews tech ladders and other hierarchical progress tech ladders and other hierarchical progress tech roles in a team and lateral progress tech roles in a team and lateral progress career management career management interviews interviews role descriptions role descriptions product product operations operations customer facing pre commit customer facing pre commit customer facing post commit customer facing post commit role overviews not focused on management overall although some links might lead to it instead see for instance awesome engineering team management https github com kdeldycke awesome engineering team management readme tech ladders and other hierarchical progress creating a career ladder for engineers https www youtube com watch v ja1q94d2z10 great talk by marco rogers comparing different progression frameworks and how to build one on top with a good focus on diversity via this long post https www linkedin com pulse how build strong career tech thiago ghisi designing engineering organizations https jacobian org 2021 jan 5 designing engineering organizations classic post highlighting different matrix ways of organizing tech teams conclusion stable multi disciplinary and product aligned is a good bet dropbox career framework https dropbox tech infrastructure sharing our engineering career framework with the world dropbox engineering career framework also including sre tpm etc engineering levels a case study https engstuff substack com p engineering levels a case study from s r basic high level overview of individual contributor vs manager vs vp with some nice references e g the cone model engineering levels a simple framework https newsletter engineering land p engineering levels a simple framework simple list of senior staff principal levels with a focus on startups engineering levels at honeycomb https www honeycomb io blog engineering levels at honeycomb short blog post explaining honeycomb apos s growth framework based on scope and ownership good reading in the context of this twitter thread on ladders https twitter com lewisl9029 status 1548754468304326657 engineering manager archetypes and career paths https leaddev com leadership skills engineering manager archetypes and career paths charity majors has a lot of great advice on ic to manager and back switch this is a great summary but sadly behind a weird spam wall evolution of management https queue acm org detail cfm id 3350548 acm research article by kate matsudaira on steps from team lead to cxo gitlab job families https about gitlab com job families gitlab apos s overview of all job families their whole management framework is openly accessible importance of career laddering https css tricks com the importance of career laddering netlify apos s career ladder by sarah drasner which became career ladders dev irrational exuberance https lethain com career levels and more will larson on career levels on top of designations good to compare with finding the right company https lethain com finding the right company the real impact of calibration curves https culture of eng dustindiaz com p the real impact of calibration curves culture of engineering substack on forced bell curves used in calibration and the issues with them jorge fioranelli apos s ladder framework https github com jorgef engineeringladders a github repo with a complete career management framework along 5 axes levels fyi https www levels fyi blog swe level framework html common attributes of the engineering career ladder in a standard framework microsoft disciplines and professions https careers microsoft com professionals us en professions microsoft apos s breakdown of their job families into disciplines and professions navigating the software engineering career ladders https threads championswimmer in p navigating the software engineering a career framework from senior software engineer to vp based on the growth stages of startups operating well what i learned at stripe https every to p operating well what i learned at stripe good collection of resources and techniques for management in high growth organizations with a particular focus on hiring and scaling organizational design https infraeng dev organizational design common team sizes aka management span of control for lead roles from lethain apos s org growth template and org design template progression fyi https www progression fyi a great collection of progression frameworks a much better name for career ladder but less common rtr engineering ladder https dresscode renttherunway com blog ladder og camille fournier sharing the rent the runway engineering career ladder scaling people interviews https press stripe com scaling people interviews for the launch of claire hughes johnson apos s excellent book scaling people interviews from different fields on how to scale teams were published spotify steps framework https engineering atspotify com 2016 02 15 spotify technology career steps spotify apos s step framework for career evolution around disciplines and roles stripe scaling engineering organizations https stripe com en sg atlas guides scaling eng raylene yung on how to scale stripe apos s engineering organization talking about roles and career paths here is an asia specific post https medium com emdashry engineering in asia 3386dcc26861 the swe job ladder https blog usejournal com the software engineering job ladder 4bf70b4c24f3 classic article by chuck groom on career ladders for swes and how it maps to attributes and company principles aka follow the money what it really means to be a manager director and vp https kellblog com 2015 03 08 career development what it really means to be a manager director or vp classic blog post from dave kellogg in 2015 talking about goals and scope but also giving a good counter argument against levels why can apos t we just all get along https emilywebber co uk why cant we all just get along goldmine of references in a talk by emily webber explaining different organizational styles like discipline led engineering led product led data led why professional protectionism is a problem and towards her progression framework for a multidisciplinary organization https emilywebber co uk building a progression framework for a multidisciplinary organisation tech roles in a team and lateral progress accelerate https blog sonatype com principle based devops frameworks accelerate summary of the instant classic book by nicole forsgren et al also talking about empowering teams see below on space and devex follow ups awesome engineering team management https github com kdeldycke awesome engineering team management roles the awesome engineering team management list has a section on roles bapo https medium com nerd for tech concepts i use every day bapo 896d0ba0ccbb overview of bapo jan bosch apos s extension of conway apos s law or strategy drives structure the combined engineering software model https testastic wordpress com 2016 01 03 the combined engineering software model classic blog and podcast excerpt about transforming to agile vertical slice teams explaining some roles like tester qa and pum product unit manager along the way conway apos s law and inverse conway maneuver https medium com better practices how to dissolve communication barriers in your api development organization 3347179b4ecc good blog post introducing conway apos s law and thoughtworks apos inverse conway maneuver to avoid having the organization become the product dead sea effect http brucefwebster com 2008 04 11 the wetware crisis the dead sea effect bruce webster coined the dead sea effect for the tech version of the peter principle aka dilbert principle expert beginner problem https daedtech com how developers stop learning rise of the expert beginner erik dietrich introduced the term expert beginner for a dead end in learning progress freedom at work https medium com chadfowler clone yourself the step by step guide to finding freedom at work 11fdccf2f50b chad fowler on working towards a career goal like building a startup how engineering driven leads to engineering supremacy https charity wtf 2022 01 20 how engineering driven leads to engineering supremacy great post by charity majors on tech adjacent roles balancing engineering and business value focus and respecting sales is tech the right career for you https hbr org 2021 08 is tech the right career for you quick and easy summary in the hbr blog on non engineering roles in tech jeff bezos apos api mandate https chrislaing net blog the memo back in 2002 jeff bezos mandated a service oriented team architecture at amazon the memo was made famous by steve yegge and the two pizza team still referenced today e g this recent hbr article on api apos s between teams https hbr org 2021 04 apis arent just for tech companies learn software development toolkit https www techwell com hub takover lean software development agile toolkit interview with mary poppendieck author of leading lean software development on how lean may fight against the organization holocracy constitution https www holacracy org constitution holocracy is a management model that tries to avoid caveats of reporting chains e g conway apos s law or management by objectives mbo e g okr by focusing primarily on very specific yet dynamic roles and rules for comparison hunting tech debt via org charts https bellmar medium com hunting tech debt via org charts 92df0b253145 marianne bellotti author of kill it with fire https nostarch com kill it fire on tech debt interesting because she put it into context of different engineering team organizations see also recent research on how tech debt is influences morale https www sciencedirect com science article abs pii s0164121220300674 managing with context not control https awspyker medium com managing with context not control 2a5643386ecd netflix famous people over process culture defining managers as glue see below next generation organization https swardley medium com how organisations are changing cf80f3e2300 simon wardley apos s research on next generation organizations including team structures formed by swarming also see adhocracy https www mckinsey com business functions organization our insights adhocracy for an agile age picking your next tech employer https medium com swlh https medium com tomaspueyo the secret to picking your next tech employer 7869a5a9367e good overview on various startup stages vs established tech firms pragmatic programmer https www codingblocks net podcast the pragmatic programmer how to build pragmatic teams notes from a podcast on andrew hunt and david thomas apos the pragmatic programmer especially chapters orthogonality and team division staff engineer at carta https medium com building carta staff engineering at carta 526b154fd317 good overview on the application of will larson apos s and yonatan zunger apos s staff engineer roles at carta staff engineer at heroku https amyunger com blog 2020 09 10 staff engineer at heroku html amy unger describing the sphere of influence of a staff engineer helps understand relationships to other roles staff engineer https staffeng com guides staff archetypes will larson apos s staff engineer book and staffeng blog talks about the career towards 4 archetypes of staff engineer roles tech lead architect solver and right hand startup engineering teams https increment com teams how to build a startup engineering team increment 11 on how to structure teams in startups the other kind of staff software engineer https earthly dev blog line staff adam gordon bell comparing line and staff software engineers as similar to it as profit center vs cost center in an example of consulting vs industry companies see epic fail it doesn apos t matter essay https hbr org 2003 05 it doesnt matter by nick carr but this guide does not focus on traditional industry team topologies https teamtopologies com key concepts instant classic book that introduced the notions of stream aligned enabling subsysteam and platform team too many cooks in the kitchen https medium com elizayer organizational boundary problems too many cooks or not enough kitchens 2ddedc6de26a great overview of product eng organizational design in particular open work by elizabeth ayer the passionate programmer https medium com pragmatic programmers avoid waterfall career planning 6280dc50a99d excerpt from chad fowlers the passionate programmer on long term career progression and change the uncanny valley of a functional organization https stratechery com 2013 the uncanny valley of a functional organization classic stratechery piece explaining functional organizations and with that solution verticals as well wtf is a tech lead https gauravgargate medium com wtf is a tech lead and what does she do b858a01902a6 this list doesn apos t focus on lead roles but here is a good example of responsibilities within a team of engineers without the bias of tech lead vs manager http www engineeringladders com techlead engineeringmanager html career management 2022 sequoia compensation findings report https dataforest sequoia com reports compensation the 2022 compensation findings report gives interesting insights into the great resignation remote work but also how priorities across departments and roles have changed a16z 16 startup metrics https a16z com 2015 08 21 16 metrics classic guide to the most important statrtup metrics legibility https ideolalia com essays two concepts of legibility html is an important concept when making career decisions and metrics are part of it an elegant puzzle https blog pragmaticengineer com an elegant puzzle book review summary of will larson apos s book an elegant puzzle especially look at chapter 5 annual performance reviews ruin everything https medium com elizayer annual performance reviews ruin everything 7464e07dff3a elizabeth ayer on annual performance reviews and their flaws in particular when mis used as growth feedback becoming a technical leader https danlebrero com 2019 11 27 becoming a technical leader book notes notes and excerpts from gerald weinberg apos s becoming a technical leader especially chapters obstacles to effective organising and learning to be an organiser becoming a vp of engineering https www honeycomb io blog becoming vp of engineering pt2 part 2 of emily nakashima s blog post goes into details of what vps actually do part 1 is more how to get there competency management https www2 deloitte com content dam deloitte za documents human capital za competency management at its most competent pdf deloitte development dimensions international white paper on competency management using a success profile model compensation as reflection of values https oxide computer blog compensation as a reflection of values nice description of how company culture values can shape compensation even in stealth startups developer progression as a function of navigating complexity https www siddharthsarda com p developer progression as a function siddharth sarda translating jessica kerr apos s research into developer career progression complexity is a common career framework attribute don jones apos own your tech career apos https techleadjournal dev episodes 55 techlead podcast episode on don jones apos book https www manning com books own your tech career engineering leadership skill set overlaps https newsletter pragmaticengineer com p engineering leadership skillset overlaps paid newsletter for reference on the terms staff engineer engineering manager em product manager pm tech lead manager tlm and technical program manager tpm engineering onboarding programs https lethain com engineering onboarding programs will larson gives an overview on how to build up a spin up training for new engineers and how that feeds into strategyt goals and roals within the broader team engineering management 101 evaluating your team apos s performance https leaddev com mentoring coaching feedback engineering management 101 evaluating your teams performance classic post by camille fournier on coaching as core management competency google apos s manager reseearch https rework withgoogle com guides managers identify what makes a great manager steps learn about googles manager research what makes a great manager with research from project aristotle and oxygen attributes https www inc com michael schneider analysis 10000 reports told google to train new managers 6 areas html from google re work growth framework at medium https medium com s engineering growth framework often the term growth mindset is used across career dimensions here is a classic post from medium who used to publish their ladder tool snowflake https snowflake medium com 1 2 3 2 4 1 1 4 3 2 0 4 2 2 3 0 cersei 20lannister staff 20engineer how i set expectations for skip levels https medium com marcusf how i set expectations for skip levels 701981f1636b quick read by marcus fr din on how to talk to skip levels differently from your manager and what they may expect how to prevent a bozo explosion https guykawasaki com how to prevent classic essay by guy kawasaki on slow rot and deterioration of innovative company cultures know how your org works https copyconstruct medium com know how your org works or how to become a more effective engineer 1a3287d1f58d another great post by cindy sridharan on navigating org incentives in order to influence decisions the 4 key managerial activities https www theengineeringmanager com management 101 the 4 key managerial activities classic blog post by james stanier predating many engineering management books focusing on high output management with a good example of a day schedule maker apos s schedule http www paulgraham com makersschedule html for historic context paul graham apos s classic post on manager schedules measuring engineering organizations https lethain com measuring engineering organizations will larson on what metrics management and stakeholders care about important in a time of increasing importance of cash flow impact it apos s generally good career advise to relate your own achievements to the company goals performance achievements https www accenture com sg en case studies about performance achievement technical white paper on the hr system also explaining some ideas of an agile performance appraisal process at accenture performance goals https themanagershandbook com creating and achieving goals performance performance management and goals from clearbit apos s the manager apos s handbook salary negotiation https www kalzumeus com 2012 01 23 salary negotiation classic 2012 blog post by patrick mckenzie on salary negotiation although the really interesting core here is your next career move and building up reputation for creating value https www kalzumeus com 2011 10 28 dont call yourself a programmer irrespective of a role title talent is largely a myth https blog nukemberg com post talent is largely a myth long article with good references why talent is largely a myth and how to hire for development the grow template https rework withgoogle com guides managers care professionally personally for team steps structure career conversations with grow the grow template for structured career conversations from google re work take jobs that make you grow https letterstoanewdeveloper com 2021 08 02 take jobs that help you grow the letters to a new developer blog has a lot of great posts this is a good one to balance the benefit of being glue see below the definition of senior https loige co the senior dev in depth walkthrough of habits required to become a senior engineer especially a growth mindset and thought leadership the making of a manager https fellow app blog management julie zhuo the making of a manager julie zhuo apos s the making of a manager is classic of career and team development especially self awareness is good for everyone the manager apos s path https www welcometothejungle com en articles btc manager path camille fournier behind the code summary of camille fournier apos s instant classic the manager apos s path things your manager might not know https jvns ca blog things your manager might not know julia evans on how to talk to your manager why shopify elevated the non manager career path and ditched meetings https creatoreconomy so p kaz coo shopify craft and no meetings dual track career paths are more common than this interview makes it sound like but it s an interesting insight into shopify s management culture writing the roadmap from engineer to manager https stackoverflow blog 2021 09 17 podcast 376 writing the roadmap from engineer to manager stack overflow podcast featuring amongst others sarah drasner author of engineering management for the rest of us zone of genius https themanagershandbook com coaching and feedback zone of genius zone of genius framework from the big leap in clearbit apos s the manager apos s handbook see also their leveling and generally self determination motivation theory sdt and herzberg apos s motivation and hygiene factors interviews 18f engineering hiring guide https eng hiring 18f gov 18f is a technology and design consultancy for the u s government and publishes a lot of their processes including a detailed hiring guide generalizing specialists improving your effectiveness http agilemodeling com essays generalizingspecialists htm classic essay from the agile movement on the generalizing specialist approach to skill building a broadening wider than t shaped cmu 313 https cmu 313 github io cmu apos s course 313 foundations of software engineering has a section on peopleware hiring and collaborating as team coding homework https jacobian org 2021 nov 23 wst homework overview on coding homework exercises how to describe them and how to evaluate common hiring manager mistakes https lethain com common hiring manager mistakes will larson on common mistakes and red flags in hiring competence over credentials https www fastcompany com 40533276 stop confusing your job skills with your credentials and do this instead separating skills also known as capacity competence or capability from credentials culture add https business linkedin com talent solutions resources interviewing talent how to assess skills culture add list of potential culture add questions an important concept in equitable recruiting guerrilla guide to interviewing https www joelonsoftware com 2006 10 25 the guerrilla guide to interviewing version 30 joel spolsky apos s classic guide on swe interviews hbr how to hire https hbr org 2018 01 how to hire research into how to hire based on mainly netflix experience hire for weaknesses https benjiweber co uk blog 2021 04 10 dont hire top talent hire for weaknesses hiring for weakness and a manifesto for hiring inexperienced engineers hiring vs nurturing managers https world hey com joaoqalves hiring vs nurturing managers e44689cb hiring vs nurturing managers how to freaking hire great developers https freakingrectangle com 2022 04 15 how to freaking hire great developers blog post on code reading interviews their advantage to debias and tips how to conduct them how to recruit and onboard neurodivergent people https blog container solutions com how to recruit and onboard neurodivergent people jennifer riggins introduction to including neurodivergent employees should be recommended reading for everyone and generally accepted hiring best practices leveling up job interviews https phauer com 2022 leveling up job interviews good overview on multiple swe rounds including soft skills and star technique the hiring bar https blog interviewing io the eng hiring bar what the hell is it comparing hiring attributes across various tech firms the hiring post https sockpuppet org blog 2015 03 06 the hiring post thomas ptacek apos s classic deep essay about tech hiring processes hiring technical talent https github com readme guides hiring technical talent this article is very high level but github apos s readme is a good overall resource this is a placeholder to many of their good articles on hiring interview performance is kind of arbitrary https blog interviewing io technical interview performance is kind of arbitrary heres the data research by aline lerner et al on tech interview performance biases and noise interview basics https themanagershandbook com hiring and onboarding interviewing the basics interview process from the manager apos s handbook interview your manager back https twitter com lilykonings status 1484598087494496258 great twitter thread on questions to ask back to managers to understand the company and role focus peopleware https github com arkon108 book reviews blob master summaries 004 peopleware md notes and excerpts from tom demarco apos s peopleware especially chapters the hornblower factor and hiring a juggler resources in tech dev guide https techdevguide withgoogle com resources types reading topics interview prep google apos s tech dev guide is a great resource for computer science engineering learning and has a list of external resources for taking a tech interview process questions i apos m asking in interviews https jvns ca blog 2013 12 30 questions im asking in interviews julia evans on what to ask as a candidate in interviews sam apos s resume advice https blog samgreenfield com 2023 01 resume advice sam greenfield giving some high level recommendations on what to include and how to format resume apos s cv apos s the star interview method https www theguardian com careers careers blog star technique competency based interview blog in the guardian on the situation task action result star interview format six intersectional approaches to improving your hiring process https byteboard dev blog six intersectional approaches to improving your hiring process advertorial for byteboard who are building an interesting new interview process but useful research and references on how to make interviews less exclusionary system design interview guide https interviewing io guides system design interview there is many guides and books on system design interviews out there but this is a good free overview of required depth tech interview handbook https techinterviewhandbook org landscape the tech interview handbook preface also covers variations of engineering roles and has oss contributions https github com yangshun tech interview handbook the most difficult it interview i apos ve ever loved https www thoughtworks com en sg insights blog most difficult it interview ive ever loved classic blog post on thoughtworks hiring process https www thoughtworks com careers our process who early on championed pair programming code reading and ethics interviews the xyz model https www inc com bill murphy jr google recruiters say these 5 resume tips including x y z formula will improve your odds of getting hired at google html the xyz model used to describe achievements for cv apos s resumes or career conversations and performance reviews the science behind making software engineering interviews truly predictive of job performance https www qualified io blog posts truly predictive software engineering interviews long blog post listing research on biases and advantages of structured interviews the ultimate guide to onboarding https leadership garden onboarding engineers for comparison not directly interview related but it apos s helpful to ask questions about onboarding during interviews to understand learning growth mindset focus of an org what we look for in a resume https huyenchip com 2023 01 24 what we look for in a candidate html chip huyen explaining what startups look in resume apos s especially regarding skills and how they will be tested role descriptions similar to jobs designations careers paths ladders trying to cluster similar tech adjacent roles in terms of roles and responsibilities without forcing or defining a right or wrong model similarity is based on common tech industry use not purity think also known as as far as possible leaving out levels e g senior associate apprentice scope e g specialist professional strategy competency e g staff research technology e g full stack cloud analytics influence e g principal architect fellow interaction e g customer player coach vanity e g executive lead head of or management responsibility e g tech lead manager tlm director leaving out general corporate functions such as hr operations bizops finance marketing go to market legal and research science product designer similar to user experience ux designer engineer researcher frontend interaction designer engineer product designer usability accessibility information architecture see also product manager technical writer career management document https alistapart com article the career management document jessica ivins in a list apart on career progress for designers design systems https matthewstrom com writing design apis in ux design systems have been taken over in developer advocacy dx is coming this article goes in depth how to apply this to api documentation everything you know about web design just changed https talks jensimmons com 20lmle everything you know about web design just changed jen simmons seminal talk on the history of design into the digital era and why css is a programming language figma product design ladder https nlevin com figma ladder figma apos s career ladder for product designers shows 6 dimensions or responsibilities like product strategy guide to ux research https www smashingmagazine com 2018 01 comprehensive guide ux research canonical article trying to explain all aspects of ux research nurturing design in your software engineering culture https medium com nick tune tech strategy blog nurturing design in your software engineering culture 3f960d321af nick tune on a common design culture in tech people ai guidebook https pair withgoogle com guidebook google apos s people ai guidebook contains patterns for incorporating ai into product design product vs feature teams https svpg com product vs feature teams marty cagan on empowered feature teams and the role of product designer so you want to be a prompt engineer https venturebeat com ai so you want to be a prompt engineer critical careers of the future prompt engineering is a new discipline to engineer generative ai models placing this under design as that apos s where the article puts it although people argue whether this will be the end of programming https ben11kehoe medium com the end of programming will look a lot like programming 8b877c8efef8 too see also brex prompt engineering guide https github com brexhq prompt engineering and microsoft guidance https github com microsoft guidance staff design https staff design staff design is a catalog and resource to navigate the individual contributor career path curated by brian lovin usability gov https www usability gov what and why user research html list of user research techniques as part of the us usability standards e g peter morville apos s user experience honeycomb https www usability gov what and why user experience html usds digital services playbook https playbook cio gov play3 digital services playbook highlighting the focus on make it simple and intuitive with a reference to the u s web design system user experience at spotify https productschool com blog product management 2 spotify user experience interview on product management at spotify ux research in google design https design google jobs ux researcher google design has a lot of resources including role descriptions e g for ux research web accessibility blueprint https alistapart com article diy web accessibility blueprint beth raduenzel apos s classic article why accessibility means empathy for everyone and how to build a team around that what designers do https faculty washington edu ajko books design methods designers amy ko apos s design methods compendium starts with the role of the designer and has a list of roles they interact with you got this http www zeldman com 2019 05 22 you got this jeff zeldman motivating all designers to keep learnings new technologies developer advocate similar to evangelist developer relations devrel developer experience dx open source relations product strategist customer insight customer empathy community ops see also solution architect learning and enablement technical writer a primer on developer marketing https tomwentworth com 2016 10 13 a primer on developer marketing 47d792d67586 tom wentworth on how to create shared sense of purpose in a community developer advocacy at hashicorp https www hashicorp com blog how hashicorp does developer advocacy hashicorp is famous for great developer focus here are their principles deploy empathy https deployempathy com michelle hansen apos s book goes beyond usability research and places customer interviews in the center of product management support and integration good developer experience https developerexperience io practices good developer experience the pillars of good developer experience including how to build a team how kelsey hightower became one of the most respected people in cloud computing https www protocol com enterprise kelsey hightower google cloud showing kelsey hightowers career path through sys admin and engineer to developer and recently user empathy https thenewstack io p 18044044 advocate building a developer experience team https sendgrid com blog scaling product management at sendgrid building a developer experience team short blog post in a series of scaling product management at sendgrid on how to spin out a developer experience team what its goals and mission are demystifying developer advocacy https github com readme guides angie jones demystifying developer advocacy classic article by angie jonies giving an overview on developer advocacy especially how it compares to other functions like marketing via this tweet https twitter com dan abramov status 1644373027692462086 s 46 t efatos7dsyaf tnfasz4lq don apos t call it a platform https samnewman io blog 2023 02 08 dont call it a platform sam newman on platform engineering and how it apos s really developer enablement and experience or habitability a guide to community operations https www commonroom io blog guide to community operations advertorial but well explaining the difference between community ops devrel and support tactical guide to kickstarting your community https orbit love blog a tactical guide to kickstarting your community long overview by orbit on their ideas how to use their tools to build an oss community the developer advocacy handbook https developer advocacy com chris heilmann apos s developer advocacy handbook has been updated for 11 years and counting the prosperous software consultant https dabit3 medium com the prosperous software consultant 5dc8d705c5dd nader dabit on the edge between developer advocacy and consulting taking a devrel approach to developer onboarding https github com readme guides community engagement sonia john in github apos s readme on how to use ideas from devrel for onboarding all engineers nice list of references in the end the radiating circles of developer experience architecture https dx tips circles a philosphical model by temporal going from tech writing to devops coving different types of developer community needs welcome to the golden age of developer advocacy https dev to stripe welcome to the golden age of developer advocacy 51fe insights from stripe into devrel since the pandemic with a lot of links to further resources and people what is a developer experience team https leaddev com productivity eng velocity what developer experience team great overview by abi noda comparing the mission statements for dx in many tech firms like slack stripe google etc what is dx https medium com swlh what is dx developer experience 401a0e44a9d9 good summary of developer experience dx why am i a developer advocate https twitter com kelseyhightower status 808436229851090945 kelsey hightower explaining devrel as the cto of a product working in public https nadiaeghbal com oss nadia eghbal apos s book working in public became an instant classic this is a resource collection of her research in particular the roles of maintainers in open source projects product manager pm similar to product owner business analyst requirements engineer system analyst see also program manager developer advocate designer product operations a comprehensive survey of product management https www lennysnewsletter com p product management survey very deep research on different pm approaches per company by lenny rachitsky advanced time management principles https twitter com shreyas status 1492345140492472321 long thread by shreyas doshi on priorization for product managers going into different approaches for different experience seniority levels a product managers apos guide to api apos s https medium com swlh a product managers guide to apis c5fffff0e5e0 not all products have an interactive ui good overview on api apos s as product see above jeff bezos apos api mandate and below developer experience being glue https noidea dog glue classic essay by tanya reilly on enabling collaboration in engineering see above take jobs that make you grow dwp digital https dwpdigital blog gov uk 2018 01 23 why i chose a business analyst career for comparison explains the business analyst role in a public service government org evolution of the product manager https queue acm org detail cfm id 2683579 classic acm research developing a curriculum and competency matrix for different types of pm apos s gsa tbm playbook https tech gsa gov playbooks tbm for comparison explains how to start technology business management in a traditional org hashicorp apos s culture https review firstround com focus on your first 10 systems not just your first 10 hires this chief of staff shares his playbook system 2 how to forge a company culture of writing and decision documentation system 2 how to forge a company culture of writing and decision documentation chief of staff kevin fishner shows how systems products and documentation fit together lessons for product leaders https www theproductfolks com blog lessons for product leaders shishir mehrotra explaining the pshe problem solution how and execution career management framework for product managers maybe we should be problem managers https www pragmaticinstitute com resources articles product maybe we should be problem managers tongue in cheek article about more fine granular pm roles such as product planning manager and outbound product manager https www pragmaticinstitute com resources articles product inbound vs outbound product management at microsoft the whole blog is a product management association most common pitfalls of new product managers https www lennysnewsletter com p product manager pitfalls nice list for product manager career starters in particular point 1 on the difference to project managers product hunt prd https uxpin medium com how to write a painless product requirements document 508ff6807b4a product hunt apos s simple and concise product requirements document prd is still a high bar product management as discovery https lethain com intro product management will larson apos s introduction into product management and the problem discovery problem selection and solution validation loop pm and em rules of engagement https segment com blog product manager engineering manager rules of engagement segment apos s framework for roles and responsibility split between product manager and engineering manager product manager vs product owner https medium com melissaperri product manager vs product owner 57ff829aa74d melissa perri apos s classic article tracing the history from business analyst to product manager also here on her blog https melissaperri com blog 2017 06 29 product manager vs product owner in an extended version agile product manager https www atlassian com agile product management product manager comparing product roles in atlassian apos s knowledge base which is naturally biased towards enterprise agile product manager https www bringthedonuts com essays productmanager html ken norton apos s classic essay defining the product manager product management roadmap in china https chinaplaybook substack com p map great example in the china playbook how product management and user focus works in the extremely competitive space in asia product management for engineers https increment com planning product management for engineers increment apos s latest article on product management from a swe apos s perspective product managers for the digital world https www mckinsey com industries technology media and telecommunications our insights product managers for the digital world context on product manager roles in traditional enterprises aiming for digital transformation product school https productschool com blog product management 2 ultimate product management guide the product school has a lot of content on hard pm skills like user research experimentation measurements writing prd apos s and product design https productschool com blog product management 2 product design definition product shaping at stripe https newsletter bringthedonuts com p building products at stripe ken norton apos s podcast with michael siliski comparing stripe and google apos s product approach project to product https projecttoproduct org solutions for comparison book and approach the flow framework blueprint often used in traditional industry to move from project to product rfc apos s as decision making tool https buriti ca 6 lessons i learned while implementing technical rfcs as a management tool 34687dbf46cb juan pablo buritic on how rfc apos s can bridge between engineering and product and help include everyone the scrum product owner role in one page https www romanpichler com blog one page product owner for comparison classic definition of the product owner role by roman pichler which is a traditional industry it term taking event support from sales tactic to product strategy http www productbeautiful com 2016 08 24 taking event support from sales tactic to product strategy classic blog by paul young on the blurred line between pm and marketing e g outbound product management team leader venn diagram https medium com making meetup em el pm venn diagram 764e79b42baf lara hogan apos s seminal venn chart of the who what and how of product manager engineering manager and engineering lead value proposition canvas https isaacjeffries com blog 2018 2 27 how to fill in a value proposition canvas part of the business model canvas how to research and visualize a value proposition writing product specs https goberoi com on writing product specs 5ca697b992fd cc9vf0ijs gaurav oberoi on how long form writing of product specifications brings clarity product operations pops similar to product ops product support customer experience see also program manager support engineer developer advocate customer success manager making the case for product operations https produxlabs com product thinking blog episode 42 denise tilles podcast with denise tilles in the product thinking blog product operations manager role https productschool com blog product management 2 product ops operations manager product school explanation of how product ops fits into product management e g managing the product feedback loop product operations pillars https productcoalition com product operations unlock your product teams full potential 8b44b05813de blake bassett apos s classic reference framework for roles and responsibilities of a product operations team rise of product ops https www productplan com blog the rise of product ops product operations is mentioned below under support but another option is to see managing user feedback and launches from a product roadmap perspective the product culture shift https skamille medium com the product culture shift 441c31a3fdf1 camille fournier on product culture which does not mention product ops but customer empathy which is often the focus of product operations organizations voice of customer programs https getthematic com insights voc for product operations advertorial but good overview on voice of the customer or customer insights programs which sometimes is in product operations organizations other times in go to market or customer success organizations project manager similar to program manager project portfolio manager technical program manager tpm tpgm consultant delivery manager see also product manager pm product operations 4 types of work in the phoenix project https uptakedigital zendesk com hc en us articles 115000524374 4 types of work in it the phoenix project highly influential the phoenix project book introduced the 4 types of work model an epic treatise on scheduling https apenwarr ca log 20171213 extremely long classic read on agile project management bug triage feature prioritization and dependencies a world class tpm team https doordash engineering 2021 08 02 6 principles for building a world class tpm team overview of a modern well functioning technical program manager tpm function at doordash the delivery manager role https medium com practical agilist the delivery manager role its totally a thing 9a9872f7e9c1 for comparision with traditional enterprise a comparison of the project manager and delivery manager role which is often part of complex enterprise agile frameworks such as safe where delivery of another piece of business drives tech features directly responsible individuals https medium com mmamet directly responsible individuals f5009f465da4 walkthrough of apple apos s concept of dri directly responsible individuals which promotes accountability for product and or project managers entropy crushers https medium com rands entropy crushers fd552252dfff 7gun031xi slightly rant y homage to project managers and the distinction to product managers how to become a pm https blog tryexponent com product manager career path advertorial product manager career path guide but a nice overview from associate to vp of product larry page the untold story https www businessinsider com larry page the untold story 2014 4 history how google fired all project managers after which chaos ensued pmi agile project management interview https www pmi org learning library agile leaders discuss possibilities post pandemic 13077 the project management institute pmi project management professional pmp is the most recognized industry certification in this interview 4 pmp apos s talk about how the pandemic disrupted project management and turned them to more agile pmo from technology spectator to enterprise enabler https aws amazon com blogs enterprise strategy the project management office from technology spectator to enterprise enabler opinion piece on the project management office pmo apos s changed role products over projects https martinfowler com articles products over projects html challengesofoperatinginproduct mode for comparison product vs project organizations and the strengths of both models project management in 2021 https monday com blog project management guide to project management long blog post on modern project management advertorial but good references project management in tech https newsletter pragmaticengineer com p project management in tech gergely orosz summarizing the heterogenous project and product management approaches in big tech firms see below for follow up post on tpm self organizing teams https leaddev com culture engagement motivation art self organizing engineering teams for comparison aspects of self organizing teams and how the project manager role changes uber freight technology team https www uber com en sg blog meet the team uber freight technology interview with a whole technology team giving a good overview how program manager engineer and data science work together see also navigating the tpm team https eng uber com tpm and learning team using domain driven design for autonomous teams https www agilealliance org resources experience reports towards autonomous aligned teams with domain driven design for comparison how bounded contexts can be used to reduce communication overhead between teams what tpms do and what software engineers can learn from them https newsletter pragmaticengineer com p what tpms do gergely orosz in his newsletter specifically on technical program managers tpm in the context of his earlier role overview in tech firms technical writer similar to copy editor tech writer ux writer documentation manager designer content strategist product marketing manager pmm see also learning and enablement developer advocate document culture at amazon https www justingarrison com blog 2021 03 15 the document culture of amazon understand how long form documents enable a shared understanding between devrel pm and technical writers documentation as application https www writethedocs org videos portland 2020 documentation as an application enabling interactive content that is tailored to the user ryan paul stripe apos s ryan paul on documentation as interactive content google developers technical writing course https developers google com tech writing free course as part of google apos s developer training on technical writing check the one on inclusion https developers google com style inclusive documentation leading through writing https leaddev com communication relationships leading through writing software engineering amy nguyen apos s writing tips not only for documentation but beyond that for team updates casual communication and more notes on technical writing https mkaz blog misc notes on technical writing list of best practices not exactly a role description but goes into tasks product marketing manager tips https www chameleon io blog product marketing manager tips for comparison broad role overview of the product marketing manager role which can sometimes overlap with tech writers when it comes to external communication of the value proposition and user journey stc https www stc org about stc defining technical communication the society for technical communication defining technical communication technical writer at netlify https career ladders dev docs technical writer i technical writer in netlify apos s career ladder by sarah drasner author of engineering management for the rest of us technical writing https developerexperience io practices tech writing developer experience knowledge base entry on technical writing when life gives you lemons write better error messages https wix ux com when life gives you lemons write better error messages 46c5223e1a2f great blog from jenni nadler showing how tech writers can be deeply embedded into the feature development process in this case error messages who will write your company apos s technical content https philipkiely com essays who will write html philip kiely apos s book and blog are a reference here an example post on how to split responsibility for writing write the docs interview guide https www writethedocs org hiring guide write the docs is a great resource on technical writing and has a role interview guide software engineer swe similar to engineer software developer software development engineer sde programmer coder tech lead product engineer see also site reliability engineer sre acm software engineering code of ethics and professional practice https ethics acm org code of ethics software engineering code the association for computing machinery acm ethics full version has good ideas on teamwork and career of swe apos s c2 wiki https wiki c2 com softwareengineering for historic context ward cunningham apos s original wiki with a discussion what software engineering means common tech jobs described as cabals of mesoamerican wizards https etiennefd substack com p common tech jobs described as cabals hilarious story explaining software engineer roles like mobile engineer to tech adjacent roles in particular ai engineers and data scientists decoding swe job titles https increment com teams decoding job titles increment 11 an overview on swe specific job titles especially specialization and seniority growing in ladders of abstraction https neilkakkar com things i learned to become a senior software engineer html growing using different ladders of abstraction an individual apos s journey towards senior engineer covers interaction with other practices e g testing roles at fly io https fly io docs hiring roles good short example of a breakdown of various software engineering roles for a startup with examples what they would work on senior engineer skills https skamille medium com an incomplete list of skills senior engineers need beyond coding 8ed4a521b29f camille fournier sharing a list of non technicals skills for engineers expanding their influence software engineering at large tech firms https 80000hours org career guide reports software engineering at large tech firms 80 000 hours is a non profit with great career advise this is an older guide on swe roles in tech firms specifically software engineering related roles https twitter com gergelyorosz status 1556657335510208513 twitter thread with some nice replies on recent technical https twitter com kelseyhightower status 1554285562705608705 role titles adjacent to swe swebok https www computer org education bodies of knowledge software engineering for comparison the ieee has their authoritative definition of software engineering sadly it apos s behind a subscription wall so it apos s not used in tech the art of being full stack https medium com gojekengineering the art of being full stack 5b88577188fd a simple but powerful line being full stack is a mindset not a skillset the product minded software engineer https blog pragmaticengineer com the product minded engineer gergely orosz on the mix between product manager designer and engineer and healthy curiosity for the business the space of developer productivity https queue acm org detail cfm id 3454124 based on dora research in accelerate see above the space framework builds a model for developer productivity which is helpful to understand all the aspects of the swe role recently also picked up as developer experience https queue acm org detail cfm id 3595878 not to mix up with devex as devrel role useful things about engineering levels https charity wtf 2020 09 14 useful things to know about engineering levels charity majors on levelling and how to level up wayup software engineer job guide https www wayup com guide entry level software engineer job guide simple introduction explaining main tasks relationship to other roles and technologies what is software engineering https www oreilly com library view software engineering at 9781492082781 ch01 html introduction to the software engineering at google book explaining the role and career of swe apos s who is product engineer https hackernoon com who is product engineer cl4l3yiu recently the term product engineer has taken over full stack engineer to represent a software engineer who applies user first design principles often in frontend development quality assurance qa similar to tester test engineer quality assurance engineer software developer in test sdet see also site reliability engineer sre agile testing http www exampler com old blog 2003 08 21 agile testing project 1 brian marick signed the agile manifesto and defined agile testing after that exploratory testing http kaner com p 46 for historic reference cem kaner apos s classic definition of exploratory testing how to review as a junior engineer https medium com pinterest engineering how to review code as a junior developer 10ffb7846958 code reviews go into explorative testing i test in prod https increment com testing i test in production charity majors in increment 10 sporting her famous observability manifesto rethinking software testing perspectives from the world of hardware https software rajivprab com 2019 04 28 rethinking software testing perspectives from the world of hardware for comparison opinion piece but good insight for more hardware focused tech roles tdd is dead long live testing https dhh dk 2014 tdd is dead long live testing html for historic reference famous rant by dhh on tdd testing microservices the sane way https copyconstruct medium com testing microservices the sane way 9bb31d158c16 cindy sridharan apos s instant classic overarching framework of testing approaches explaining how qa testers fit in with automation testing of microservices https engineering atspotify com 2018 01 11 testing of microservices spotify reshaped the classic testing pyramid into the microservices testing honeycomb two kinds of testing https blog nelhage com post two kinds of testing nelson elhage apos s blog has many pearly on testing this one talks about fuzzing regression and integration testing why observability matters for testers https www thoughtworks com en sg insights blog observability why observability matters testers interesting perspective from parveen khan how sre and qa can overlap v models for testing https insights sei cmu edu blog using v models for testing for comparison the v model is used in traditional industry quality assurance fittingly presented by the software engineering institute sei operations data analyst similar to data scientist business intelligence analyst quantitative researcher operations analyst machine learning researcher see also data engineer support engineer trust and safety analysts data analyst career path https www northeastern edu graduate blog data analyst career path advertorial but a good overall overview on data analyst roles data analyst driven organization https cloud google com blog products data analytics building the data analyst driven organization part of a google cloud blog series explaining different roles in different organizations also has data engineering https cloud google com blog products data analytics building the data engineering driven organization data analyst vs data science vs ml https towardsdatascience com data analyst vs data scientist 2534fc1057c3 difference between business data analyst and data science statistician roles also explaining why ml as technique typically called engineer data science at twitter https medium com rchang my two year journey as a data scientist at twitter f0c13298aee6 breaking down data science work alongside insights pipelines experimentation and modeling go jek apos s data science team https www gojek io blog working in the central analytics and science team difference between business and data analyst and data scientists google ai residency https research google careers ai residency google apos s mentoring program for the next generation of deep learning researchers interview with cindi howson https www montecarlodata com building a better data culture an interview with thoughtspots cindi howson interview going through cindi howson apos s career and ideas explaining changes in many role descriptions and a book reference to building analytics teams the roaring twenties https twitter com josephmoon ai status 1486133352608382977 s 21 twitter thread on modern data analysis tools and how they helped data scientists and analysts step out in the limelight data engineer similar to machine learning engineer ai engineer analytics engineer business intelligence intel engineer see also data analyst software engineer swe integration engineer business intelligence engineers https hevodata com learn business intelligence engineers advertorial but clear description of a business intel engineer for comparison with external facing engineers see also palantir forward deployed engineer below coding habits for data scientists https www thoughtworks com en us insights blog coding habits data scientists thoughtworks on the edge between data science and engineering data as a product in data meshes https martinfowler com articles data mesh principles html dataasaproduct zhamak dehghani coined the term data mesh and with that also new roles data product managers and data platform teams and the dataops manifesto https dataopsmanifesto org en see team topologies data first at grab https engineering grab com data first sla always blog from grab steve yegge their ml ops automation is a competitive advantage https steve yegge medium com saying goodbye to the best gig i ever had a33736833c1e on their data engineering sla apos s data observability https towardsdatascience com data observability the next frontier of data engineering f780feb874b barr moses seminal blog post of the cross section of sre and data engineering see also uber apos s operational excellence and data quality effort https eng uber com operational excellence data quality data engineering past present and future https airbyte com blog data engineering past present and future advertorial but nice detailed history about different technology stacks since hadoop that led to the data engineer role in its current form data science meets devops mlops with jupyter git kubernetes https blog kubeflow org mlops mlops is a new subgenre of data engineering this blog from kubeflow shows how gitops and ml interact data science vs data engineering https www snowflake com trending data science vs data engineering snowflake apos s view on data scientists vs data engineers dbt a new way to transform data and build pipelines at the telegraph https medium com the telegraph engineering dbt a new way to handle data transformation at the telegraph 868ce3964eb4 data science was first turned into data engineering with notebooks then elt pipelines defined with tools like this blog shows why such a path might be chosen emerging data roles the analytics engineer https www datacouncil ai blog emerging data roles the analytics engineer was it michael kaminsky or fishtown analytics who came up with the analytics engineer role emerging architectures for llm applications https a16z com 2023 06 20 emerging architectures for llm applications prompt engineering see above also requires architecturs that are built by data engineers functional data engineering https maximebeauchemin medium com functional data engineering a modern paradigm for batch data processing 2327ec32c42a maxime beauchemin creator of airflow in his classic piece that defined functional data engineering how reporting and experimentation fuel product innovation at linkedin https www youtube com watch v 62jxeiztc 4 linkedin got famous for data engineering as the birthplace of kafka and samza this old talk gives an overview how the data platform feeds into the product teams machine learning interviews bookmachine learning interview https huyenchip com ml interviews book chip huyen apos s book does never clearly explain roles but has good insights on types of teams and companies for ml roles netflix data engineer https netflixtechblog com data engineers of netflix interview with kevin wylie 7fb9113a01ea career path of a data engineer at netflix see also this blog of netflix roles https netflixtechblog com notebook innovation 591ee3221233 planning for agi and beyond https openai com blog planning for agi and beyond this list does not feature prompt engineering under data engineer but below under designer this post is an example by openai on various strategies to approach working with rather than bulding machine learning systems in what they call alignment techniques pytorch builds the future of ai and machine learning at facebook https ai facebook com blog pytorch builds the future of ai and machine learning at facebook machine learning research fused into mlops over the last years this is a good history from facebook how pytorch emerged not unsimiliar to tfx https blog tensorflow org 2020 09 brief history of tensorflow extended tfx html intro at google rise of the ai engineer https www latent space p ai engineer provocative post defining ai engineer closer to prompt engineer which we list under designer as it s more about intent than structure there is no data engineering roadmap https www alasdairb com posts there is no data engineering roadmap deep overview of the various career paths and lateral moves into data engineeering the struggles scaling data teams face https medium com mikldd the struggles scaling data teams face 95ca8eb874f3 interesting analysis of growth limiting factors e g sprawl and quality for analytics engineering https www getdbt com blog analytics engineering next step forwards teams we don apos t need data scientists we need data engineers https www mihaileric com posts we need data engineers not data scientists rant but with a good overview on data roles what is data engineering https blog pragmaticengineer com what is data engineering collaboration between benjamin rogojan and gergely orosz explaining the data engineer role and the differences to data scientist and software engineer where ai fits in engineering organizations https matt rickard com where ai fits in engineering organizations short blog by matt rickard that shows how hard it is to locate ai engineer between data science devops prompt engineering etc why data scientists shouldn t need to know kubernetes https huyenchip com 2021 09 13 data science infrastructure html chip huyen on how to run machnine learning analytics systems and how pipeline work and devops roles are different from data science and research roles security engineer similar to security analyst cybersecurity analyst vulnerability researcher information security infosec engineer threat intelligence hacker red team see also trust and safety analyst a day in the life of an ncsc vulnerability researcher https www ncsc gov uk blog post day life ncsc vulnerability researcher for comparison vulnerability research in public services uk apos s national cyber security centre government agency cloudflare how to build security teams https blog cloudflare com international womens day 2020 building a modern security team very cloudflare specific but good overview on career paths into security engineering infosec career path https twitter com dakami status 1213698967659151363 s 19 twitter thread by dan kaminsky on his career in infosec infosec competencies https www netmeister org blog infosec competencies html technical infosec core competencies a good list to understand skills required introducing twitter apos s first algorithmic bias bounty challenge https blog twitter com engineering en us topics insights 2021 algorithmic bias bounty challenge twitter has recently stepped up ai security and safety with rumman chowdhury appointment joining shortly after peiter mudge zatko our cve story an open source community based example https cve mitre org blog april122021 our cve story an open source community based example html for comparison how apache as an oss organization became part of the cve community in the cve blog telegraphing the future of security https blog google technology safety security telegraphing future security snippets from security experts what future challenges for roles will be e g security and digital literacy and user empathy working at project zero https googleprojectzero blogspot com p working at project zero html og project zero overview on career paths to security engineering trust and safety analyst similar to fraud investigator policy and governance compliance risk analyst incident response content review policy enforcement see also security analyst data analyst acfe scorecard https legacy acfe com coso scorecard home aspx the us association of certified fraud examiners has an interesting scorecard maturity model of fraud processes that also defines role responsibilities within a fraud management team building a trust and safety mindset https www sidequest cc resources buildingts great history starting with ebay apos s trust and safety team and overview of all functions in such a team by adelin cai building fairness trust and safety into machine learning https accelerate withgoogle com stories building fairness trust and safety into machine learning meet googler jamila smith loud interview with google apos s jamila smith loud how ai principles are part of trust safety how pinterest fights misinformation hate speech and self harm content with machine learning https medium com pinterest engineering how pinterest fights misinformation hate speech and self harm content with machine learning 1806b73b40ef deep dive into pinterest apos s policy enforcement how to build a trust and safety team https blog sift com 2017 trust and safety ground up advertorial from sift but a good summary on skills and metrics more content moderation is not always better https www wired com story more content moderation not always better wired article giving an overview on the complexity of content moderation resources from the tspa https www tspa info explore resource library great list of resources on content moderation and more by the trust safety professional association stripe radar documentation https stripe com docs radar reviews stripe apos s inclusion of human review gives a good insight in payments fraud investigation twitter trust and safety council https about twitter com en our priorities healthy conversations trust and safety council list of organizations informing twitter apos s rules and policies uber apos s it risk team https www uber com en sg blog uber eats risk team uber career blog interview of their fraud and risk team zoom trust and safety https zoom us en us trust trust safety html zoom has many security and safety issues in the past which now made them more open how their trust safety team works site reliability engineer sre similar to reliability engineer devops devsecops engineer system administrator platform engineer team infrastructure engineer production engineer no code operations resilience engineer see also support engineer it operations quality assurance 7 lessons from 10 outages https downtimeproject com podcast 7 lessons from 10 outages how life really is on call https increment com on call explained in the downtime project apos s podcast a feedback loop between dev and ops https stackoverflow blog 2021 03 18 creating a good feedback loop between ops and devs using documentation using documentation runbooks to bridge dev and ops teams see below technical writer are we there yet https cloud google com blog products devops sre evaluating where your team lies on the sre spectrum thoughts on assessing an sre team apos s maturity in the google blog building platform teams https martinfowler com articles building infrastructure platform html thoughtworks blog on how to build platform teams and what metrics they are measured on can resilience engineering be described in 5 minutes https www adaptivecapacitylabs com blog 2020 03 24 can resilience engineering be sufficiently described in 5 minutes adaptive capacity labs conducts deeper post mortem analysis and retrospectives on learning from failures pitching a role resilience engineering devops sre and platform engineering https iximiuz com en posts devops sre and platform engineering tweet unroll of the difference between software development devops sre and towards platform engineering dora https www devops research com research html the dora state of devops research program which formed the basis for the accelerate book see above especially the practice empowering teams facebook configuration management https engineering fb com 2014 10 01 core data facebook configuration management community and open source historic context classic blog post that open sourced chef written by production engineers which would now be called platform team getting into devops https www thoughtworks com insights blog getting devops part 2 thoughtworks overview on the history and different styles of devops teams including devnetops and devsecops google sre interview https sre google in conversation niall murphy and ben treynor from google in an early interview on the sre practice and comparison to the industry howie guide https www jeli io howie interview jeli io apos s howie post incident guide described learning from failures and near misses it focuses on tech roles but in the interview section explains connections to tech adjacent roles too incident operations https sre google sre book managing incidents the sre book defines roles during an incident like ops lead incident commander and communication lead jez humble apos s devops insights https newrelic com blog best practices devops jez humble for historic context one of the earlier talks by jez humble in the new relic blog making ops work more visible https github com readme guides ops work visible interesting story from netflix apos devops journey from you run it to sre and platforms teams no code operations https blog airtable com no code operations good example of maintenance and operations not only covering code but all kinds of business processes modelled in all kinds of tools including no code from excel to airtable for which this is an advertorial performance management maturity levels https infrequently org 2022 05 performance management maturity the role of senior management this is actually a list of software performance not career performance points but it contains an interesting section recognizin the need of management buy in https medium com centre for public impact what gets measured gets managed its wrong and drucker never said it fe95886d3df6 for platform work platform as a product https teamtopologies com videos slides what is platform as a product clues from team topologies using team topologies see above to redefine platforms as valuable products this could also belong to it operations ongoing discussion on forrester here https www forrester com blogs platform product management versus platform engineering production engineers at facebook https www oreilly com library view seeking sre 9781491978856 ch13 html meta apos s implementation of devops and their version of sre is the production engineer the role is explained in the seeking sre book sre at linkedin https engineering linkedin com blog 2017 05 building the sre culture at linkedin good historic background on how the linkedin sre team evolved very early sre implements devops https cloud google com blog products gcp sre vs devops competing standards or close friends og seth vargo and liz fong jones apos legendary blog post and youtube video series explaining sre sre in the real world https blog relyabilit ie sre in the real world niall murphy author of many sre books explaining google sres the difference to sre in other orgs and interestingly finding the closest similarity with staff engineers systems design explains the world https apenwarr ca log 20201227 classic apenwarr post that talks about innovator apos s dilemma second system effect and being glue basically what in traditional enterprises is referred to as architect role but in tech is often sre and product managers the sre book https sre google sre book introduction the seminal sre books by betsy beyer et al freely available here the link to the introduction the sysadmin approach to service management trunk and branches model https infraeng dev trunk and branches will larson apos s learnings scaling infrastructure organizations using his trunk and branches model what does an sre do https www stanza systems post what does an sre do excellent short overview on the sre role especially across seniority levels it operations similar to system administrator sys admin infrastructure services it system engineer it support specialist technical staff technical operations techops itops ops incident response database administrator dba data center technician see also support engineer site reliability engineer sre dropbox datacenter automation https dropbox tech infrastructure covid 19 one year later dropbox famously moved large workloads back from aws into their own datacenter here are some post pandemic examples what tasks this meant they had to manage dwp digital https dwpdigital blog gov uk 2020 10 29 the best move i ever made my career change to infrastructure services for comparison explains infrastructure services in a public service government org which is often hardware based e g networking evoling thoughtworks internal it https www thoughtworks com en sg insights blog evolving thoughtworks internal it solve broader cross cutting problems nice insight more from consulting background but applicable to tech as well google data center security 6 layers deep https www youtube com watch v kd33uvzhnaa stephanie wong apos s youtube video won numerous accolades and become the canonical reference for data center devsecops how google and amazon scale up their huge it operations https www computerworld com article 2486298 here s how google and amazon scale up their huge it operations html insight into hyperscalers apos economies of scale in data center operations how the data center site selection process works at dropbox https dropbox tech infrastructure how the data center site selection process works at dropbox it operations also covers hardware planning this is an interesting example from dropbox s data center selection process it operations itops roles responsibilities https www bmc com blogs it operations roles for comparision traditional non tech enterprises often use the itil framework and try to tweak tech concepts into it by renaming roles e g itops service management operations management explained https www bmc com blogs it service management vs operations management for comparison depending on the company sre devops or it ops own operations this is a good overview of classic itil it service management itsm and it operations management itom processes more often found in non tech enterprises lean at amazon https www mckinsey com business functions operations our insights when toyota met e commerce lean at amazon for better or worse amazon is known for ruthless operational excellence including writing custom it operations software another good example is mcdonald apos s https aws amazon com blogs enterprise strategy revisiting buy vs build drawing the line salesforce admin https www salesforce com ap blog 2021 06 what is a salesforce admin html even saas platforms like salesforce need admins this is a good overview on the sys admin role thank you it https blog google inside google life at google making our tech spill proof crash proofthank you it google apos s techstop team is often cited as one of the best perks at google an it that just works with great empathy and talent e g grab and go loaners https www blog google products chrome enterprise extending googles grab and go program to businesses the changing world of an oracle database administrator https blogs oracle com database post the rise of the renaissance database administrator for comparison oracle on the change of the dba role uber apos s it engineering team https eng uber com it engineering meet the team that keeps uber moving uber career blog interview on their it operations team why a new kind of work means a new role for it https experience dropbox com resources the rise of a new kind of work and a new kind of role in it dropbox apos work culture blog on how it becomes an enabler and how this changes hierarchies customer facing pre commit account manager am similar to account executive ae field sales representative fsr account representative rep commercial manager sales business development bd relationship manager key account manager kam strategic account manager sam see also sales engineer technical account manager tam customer success manager csm challenger and sense making https www gartner com en sales service insights challenger sale example of the countless sales communication methodologies designing compensation systems for sales professionals https www shrm org resourcesandtools tools and samples toolkits pages designingcompensationsystemsforsalesprofessionals aspx this deep link does not always work broad and deep overview of sales incentive systems which is important when defining shared goals and objectives how to really motivate salespeople https hbr org 2015 04 how to really motivate salespeople business development incentive bonus systems are complex often commission based this research gives some insight into the structures behind and helps understand motivations of sales teams modern account management https www fool com the blueprint account management explaining the common tasks of account managers in value driven tech firms navigating microsoft https www channelfutures com cloud 2 navigating microsoft preparation leads to opportunity outsider analysis of microsoft apos s rhythm of business rob showing important of acccount managers to understand how others tick origin of the business model canvas https www strategyzer com blog posts the origin of the business model canvas interview with bill fischer alex osterwalder history of the business model canvas in strategyzer apos s blog one of the modern ways to pitch business models and value propositions and experiment with business ideas https www strategyzer com books testing business ideas david j bland sales pitch guide https close com sales pitch a guide on the art of the pitch salesforce state of sales report https www salesforce com news stories the fourth state of sales report shows how teams adapt to a new selling landscape modelled after the state of devops report this research survey shows how account management changed post pandemic stakeholder mapping https miro com blog stakeholder mapping stakeholder mapping and go to market is one of the most important functions of an account manager talking sales and product driven growth https www paceapp com blog posts lessons from google and stripe talking sales and productled growth with jeanne dewitt grosser podcast transcript with jeanne dewitt grosser who shares lessons from building sales teams at stripe and google around product driven growth the sales learning curve https hbr org 2006 07 the sales learning curve classic hbr research on different stages of sales processes important to understand priorities types of bonuses https www glassdoor com blog types of bonuses good summary from glassdoor showing different incentive structures between sales pre commit and other teams value selling in strategic accounts https www richardson com sales resources strategic sales key account management strategy many pay as you go consumption businesses look at value selling e g with a customer success csm function sales engineer se similar to customer engineer principal architect account strategist technical consultant technical sales demo spike engineer see also technical account manager tam account manager solution architect customer success manager csm presales sales engineering and solution architects mean in today apos s digital sales https hub inc what do presales sales engineering and solution architects mean in todays digital sales era comparing the roles of presales sales engineers and solution architects sadly from a product pitch perspective but it apos s a good start sales engineer skills https www cybervista net top skills of an exceptional sales engineer very sales y description of sales engineering skills 2022 se trends creating connections with chris white https www navattic com blog se trends chris white advertorial from navattic but the series has insightful interviews and further resources especially books and podcasts to learn about the se role the confusing job titles in sales https wethesalesengineers com the confusing job titles in sales good overview from pre to post sales titles even including professional servics and field engineering which are sometimes considered part of sales most accurately go to market or customer success organizations the saas org chart https sacks substack com p the saas org chart for comparison david sacks showing 3 very detailed sample org charts for series a series b or series c with a strong focus on customer success value selling vs solution selling https blog close com value selling vs solution selling good comparison of account manager role often value selling and sales engineer role often solution selling what is tech sales https www zendesk de blog tech sales advertorial but refreshingly honest article about the career as technology salesperson why top saas sales teams are creating a new role demo engineers https www saastock com blog why top saas companies are creating a new role demo engineers example of a twist on the se role demo engineer especially for no code and saas companies where the focus lies more on proof of concept work solution architect sa similar to solution sales solution planner technology architect technical architect enterprise architect office of the cto octo evangelist customer advocacy see also sales engineer se technical account manager tam accenture career blog https www accenture com us en blogs blogs technical architect careers for comparison explaining the technology architect role for consulting service provider service delivery firms which usually focuses on projects not products architects anti patterns and organizational fuckery https charity wtf 2023 03 09 architects anti patterns and organizational fuckery charity majors excellent summary of a mega thread of twitter shows why this list as well does not include a separate architect role because it should be a function within a role or rotation she does however explicitly exclude sa as advisory is generally something good awesome software architecture https github com simskij awesome software architecture readme awesome list of general software architecture resources which sadly is mostly not connected to the term architect databricks economic benefits https databricks com blog 2020 04 28 new study databricks delivers nearly 29 million in economic benefits and pays for itself in less than six months html advertorial but a good example how many product platform companies move up the value chain to management consulting e g databricks with their resident solution architect which is more similar to a tam or csm github octo https github com github githubocto discussions 1 github apos s research unit is responsible to syndicate their view of the future of technology how google apos s office of the cto is redefining collaboration https mission org podcast built for innovation how googles office of the cto is redefining collaboration podcast with google cloud apos s octo with the history and future of the team how we close deals and keep customers happy with slack connect https slack com blog collaboration how we close deals and keep customers happy with slack connect slack apos s technical architects are part of the sales customer success csm organization but guide the implementation like deployment engineers problems with solution selling https www mckinsey com business functions marketing and sales our insights whats wrong with solutions selling and how to put it right account managers are usually value or challenger selling because solution and product selling is more complex which makes commercials harder sap solution blog https blogs sap com 2014 05 25 from developer to solution architect essential skills for climbing the it professional ladder for comparision explaining solution architects for isv saas solution providers focused on long term system design while customers and consultants customize their product the role of customer advocacy in sales and support https www productmarketingalliance com the role of customer advocacy in sales and support industry group overview of customer advocacy as a role between marketing and sales often performed by industry as oposted to solution technical focus sas solution architect who am i https osapishchuk medium com solution architect who am i bb54a9451a10 solution archicture is a term used very differently in industry enterprise architecture services delivery professional services system integration project scoping planning and saas consumption business pay as you go this explains the latter and explains the career path solution architect in safe https www scaledagileframework com solution architect engineering written from an enterprise point of view safe but creating defining and communicating a shared technical and architectural vision also applies to the pre commit stage of a customer solution aka project the solution architect apos s guide to serverless https betterprogramming pub the solution architects guide to serverless 27af39ad57b example of considerations that solution architects might consider serverless is a good example because it leans towards business solutions why is it great to be a consultant https zwischenzugs com 2022 01 17 why its great to be a consultant for comparison often solution architecture is performed as review by external consultants here are some advantages of this approach see also so you want to be an it consultant for historic comparison customer facing post commit customer success manager csm similar to account manager enterprise services manager esm account strategist customer experience customer advocacy see also account manager technical account manager tam support engineer aligning customer success https www futureofsaas io aligning customer success q a with servicenow servicenow s emma bilardi in an interview on alignement of csms with account management and professional services teams and more customer success 2 0 https www mckinsey com industries technology media and telecommunications our insights introducing customer success 2 0 the new growth engine mckinsey strategy piece showing the history of the customer success function as part of customer experience instead of business development see above engineering customer success https notoriousplg substack com p nplg 102022 engineering customer part of the product led growth concept this blog introduces how to measure customer success as driver of startup feature build and market fit effective csm teams https blog learndot com what makes a customer success team effective we asked the experts interview with experts who perform ed tam and csm roles forrester business case for customer success management https go forrester com blogs build the case for a customer success management program now forrester and salesforce https www salesforce com blog build customer success organization have a good case study for the introduction of a customer success function how is value engineering different https www presalescollective com content how is value engineering different from value consulting in sales focused csm teams value engineering is a commonly applied practice sometimes even value engineer roles to develop saas pricing and roi models how to design a sales to csm handoff that works https www jeffbullas com sales to csm handoff very high level sales y article but focusing on the handoff useful to understand the difference between account manager and csm roles microsoft customer success journey https www linkedin com pulse why you should consider joining microsofts customer success fuqua microsoft champions the customer success function from a sales perspective tam perspective see below the evolution of customer success https www intercom com blog podcasts oracles catherine blackmore on the evolution of customer success historic overview of the customer success role by catherine blackmore in an advertorial podcast integration engineer consultant similar to deployment engineer strategist migration engineer field engineer professional services delivery architect technology architect customer solution s engineer implementation services implementation consultant system engineer solutions engineer forward deployed software engineer fdse see also solution architect partner engineer cloud migration for the real world https cloud google com blog products cloud migration real world cloud migration strategies cloud gcp specific aws here https aws amazon com professional services caf blog but shows how professional services teams build up standard methodologies https cloud google com blog topics perspectives the google cloud adoption framework helping you move to the cloud with confidence between pre commit and post commit teams customers and partners databricks labs https databricks com learn labs databricks uses the role field engineer in their labs for a combination of integration engineer and devrel also building maintaining some open source reusable helper tools coming out of customer engagements here https github com googlecloudplatform professional services is a similar repository from google cloud data for the win https www tableau com blog data for the win how team usa visualizations were made data and analytics companies like tableau often have the strongest solution engineering value proposition and they can combine tooling with business knowledge to create models deployment engineer https www2 htw dresden de anke openup core default role def base roles deployment engineer 5f5ff257 html for comparison traditionally the term deployment engineer has been used for someone responsible to bring a release or product to production hence often used for consultants it was followed by field engineer and more recently integration engineer facebook apos s solutions engineering team https jmperezperez com solutions engineer facebook long interview about the practical role details at meta apos s solutions engineering team https medium com meta business engineering the role of a solutions engineer at facebook a8185777f1b1 which a mix of solution architect and integration engineer at google they are called customer solution engineer in gtech https blog google inside google life at google my path google my path to google ana lucero esqueda forward deployed software engineer at palantir https blog palantir com a day in the life of a palantir forward deployed software engineer 45ef2de257b1 interesting weirdly militaristic title for embedded integration engineers at palantir similar to databricks apos resident architects their consultants are called deployment strategist https blog palantir com a day in the life of a palantir deployment strategist 951cb59a5a96 gitlab migration engineer https about gitlab com handbook customer success professional services engineering gitlab certified migration services engineer gitlab apos s professional services is under its customer success org and focuses on certifying service partners see partner engineer with their standard methodology see below hashicorp introducing professional services https www hashicorp com blog introducing the hashicorp professional service prog interesting insight how small but famous tech companies take a step towards implementation services hbr digital transformation https hbr org 2019 03 digital transformation is not about technology for comparison digital transformation every company wants to be a tech company https www inc com magazine 201605 marli guzzetta tech company definition html aka software is easting the world https medium com humane tech there is no technology industry 44774dfb3ed7 c9xi6vier is the main trend tech companies plug into this older harvard business review article gives a good overview how to become a premier field engineer https techcommunity microsoft com t5 core infrastructure and security how to become a premier field engineer pfe ba p 255475 the term field engineer has fallen a little bit out of session but generally used to mean customer facing engineers travelling on site red hat consulting offering https www redhat com en resources digital transformation navigate consulting datasheet red hat is very open about the structure of their consulting engagements which gives a good overview of the tasks of an architect scalable and seamless customer service https www salesforce com ap customer success stories tokopedia advertorial but good example of business focused consulting services as done by salesforce solution engineering done right https twitter com clairevo status 1575161631524343810 twitter thread by claire vo on what make successful solution engineers including alignment to eng or gtm roles and responsibilities and what it means to build for customers so you want to be an it consultant https www thoughtworks com en sg insights blog so you want be it consultant for historic comparison classic thoughtworks blog from 2014 explaining how consulting organizations work e g staff augmentation vs solution based see the other kind of staff software engineer above the 12 worst differentiators for professional services firms https hingemarketing com blog story the 12 worst differentiators for professional services firms pop up laden advertorial but good insights what to look for in professional services value propositions which drives what the roles do why doesn apos t anyone talk about microsoft consulting services https rcpmag com articles 2015 12 01 silence of mcs aspx good historic insight into the long term struggle to find the right balance at microsoft between partners and microsoft cross industry solutions consulting services xis mcs partner engineer similar to partnership manager alliance manager partner development manager pdm partner solution architect partner solution engineer partner support system engineer deployment engineer field engineer see also learning and enablement developer advocate devrel integration engineer aws teams you need to know to accelerate business growth https nofar asselman medium com the big five aws teams you need to know 42b000618313 interesting perspective into aws apos s partner organization and how independent software vendor isv saas work on aws marketplace building the motherduck partner ecosystem https motherduck com blog building motherduck partner ecosystem great example from a startup duckdbs parent company building up their go to market and delivery partners cisco apos s customer experience framework https blogs cisco com partner how partners make money with cisco customer experience cx cisco apos s services portfolio around expert resources trusted support insights and analytics and contextual learning for their partners confluent verified integrations program https www confluent io blog guide to confluent verified integrations program often tech companies certify their software to run on other platforms or be operated by partners another good example of a partner engineer apos s role elastic partner program https www elastic co partners program for comparison elastic relies a lot on partners less with aws https thenewstack io this week in programming the elasticsearch saga continues but more with gcp and azure https www elastic co blog elastic recognized for innovation by google cloud and microsoft so their pdf guides do a good explaining the difference between managed service provider msp original equipment manufacturer oem system integrator si and resell partners facebook apos s partner engineering team https www facebook com careers life partner engineering at facebook facebooks careers topic page on partner engineering finding the right fit at linkedin https medium com lynmuldrow becoming a linkedin partner engineer how i found the right fit b40c5c472aa lyn muldrow on the linkedin blog on the career from swe to partner engineer senior partner engineer at slack https meghan duffy com 2019 01 10 role models brook shelley senior partner engineer at slack interview with slack apos s brook shelley on meghan duffy apos s tech role models blog managed services similar to business critical services customer it operations service delivery client technical solutions professional specialist outsourcing accenture infrastructure services https www accenture com us en insights cloud cloud environment management accenture consulting firm not strictly tech explaining capabilities it offers to customers to manage their cloud e g finops azure expert msp https partner microsoft com en rs membership azure expert msp microsoft azure has one of the most mature managed services partners programs cisco partner managed services https blogs cisco com partner welcome to partner managed services cisco pivoted from hardware into services but smarter than ibm with a managed services strategy that included partners huawei apos s own digital transformation https e huawei com sg publications global ict insights 201801221604 digital huawei 201801241420 for comparison network managed services are especially prevalent in outsourcing heavy telecommunications telco firms a view inside huawei apos s service delivery platform shows how everything centers around tracking managed services and resource allocation ibm spins of kyndryl https newsroom ibm com 2021 04 12 ibms independent managed infrastructure services business to be named kyndryl over the years ibm had become a managed services business and now spun it off palo alto https www paloaltonetworks com blog sase cloud delivered managed security many companies move to saas by offering their product in the cloud including managed services for instance palo alto offers managed security services technical account manager tam similar to enterprise services manager esm account strategist customer experience service account manager support account manager sam customer success engineer see also account manager am solution architect sa customer success manager csm a day in the life of a tam at microsoft https cloudblogs microsoft com industry blog en gb beyourfuture 2019 04 18 a day in the life of a technical account manager good read for comparison of tam between more technical and more business customer success focused at microsoft csm are in the business development org a day in the life of a tam at red hat https www redhat com en blog being technical account manager tam day life see below for red hat apos s difference between tam csm and support gitlab tam handbook https about gitlab com handbook customer success tam gitlab apos s open source tam handbook as part of the customer success team red hat apos s tenets of tam https www redhat com en blog five tenets technical account management five tenets of good technical account management with the difference between tam support and csm from a red hat perspective tam at percone https www percona com blog 2020 01 06 a day in the life of a technical account manager for comparison a smaller tech company where tam covers more breadth towards support and solution architecture vmware tam to the rescue https blogs vmware com customer experience and success 2022 01 vmware tam to the rescue helping a customer out of a jam html the vmware careers blog has a lot of interesting stories about their support roles this one is an example of a tams daily work what it is like to be a technical account manager in aws https medium com amazonwebservices what it is like to be a technical account manager in aws 384cadd16b1e deep introduction including career path of a tam as part of the aws premium support https aws amazon com premiumsupport plans enterprise offering learning and enablement similar to practice lead instructor coach moderator facilitator trainer instructional designer customer education technical enablement field enablement see also partner engineer technical writer developer advocate devrel communities of practice https www infoq com articles communities of practice agile organisation emily webber apos s classic article introducing the roles in internal communities of practices and how trainers own organizational development customer education https coreaxis com insights blog customer education advertorial but a good list of priorities in a customer education learning and enablement team design sprint https www gv com sprint the design sprint methodology is a mix of design thinking and lean and collaborates across roles often facilitated by a coach distributed education https experience dropbox com resources distributed education advertorial but good background on challenges for educators post pandemic field enablement at gitlab https about gitlab com handbook sales field operations field enablement gitlabs field enablement role is interesting because it apos s very broad containing parts of marketing strategic ops stratops and culture glitch interview https blog glitch com post going global with glitch amp educator ben morss interview with a developer advocate how they used glitch to facilitate easy web coding classes pitfalls to avoid when building a ccoe https aws amazon com blogs enterprise strategy 7 pitfalls to avoid when building a ccoe aws blog post on how to build up a cloud center of excellence or any center of excellence remote education https github blog 2020 09 10 remote education a series of best practices for online campus communities github blog series on best practices for online campus communities the who what how and why of sales enablement https www gartner com en articles the who what how and why of sales enablement classic gartner article that defines the pillars of the sales enablement function stop sidelining your network team https acloudguru com blog business hey cloud execs stop sidelining your network team advertorial by a cloud guru now part of pluralsight showing the need for re skilling due to technology changes here with the example of network infrastructure to cloud the programmer apos s brain https www manning com books the programmers brain the programmer apos s brain is a bug summarizing tons of felienne hermans apos s research https www felienne com publications on learning understanding and collaboration for engineers trainer at sap https blogs sap com 2019 11 07 becoming an official sap trainer explaining the trainer role at sap long time known to have a huge industry specific education organization support engineer similar to support operations technical solution engineer tse technical support engineer tse product technology manager technical product expert tpe incident response support escalation engineer l2 l3 engineer see also data analyst site reliability engineer sre technical account manager tam customer success manager csm product operations a day in the lift of an aws developer support engineer https aws amazon com blogs aws a day in the life of an aws developer support engineer support description that in 2010 was 10 years ahead and therefore still relevant for historical reference in particular the career where jeff barr ended up chief evangelist for aws big tech and the reality of scaling customer support https blog pragmaticengineer com scaling customer support scoop by gergely orosz going deep into the good and bad incentives for support organizations customer experience at apple https medium com thrive global always start with the customer experience not with the technology former apple ceo john sculley 68b5f36e810e very long interview with jon sculley how apple sees the end to end customer experience made famous with the genius bar customer happiness at canva https www canva com careers support canva is one of the companies who turned their support team goals inside out by making it the center of customer happiness see also customer experience customer service at shopify https www shopify com sg blog customer service whole framework of how to build successful customer service and retain happy customers interesting context in the same blog https www shopify com sg retail 119535811 the apple store guide to insanely great customer service on apple above customer support vs customer success explained https www helpscout com blog customer support vs customer success advertorial but good description of the flavours of customer support clearly separating customer success and its various variants 2022 customer service quality benchmark report https www intercom com blog podcasts 2022 customer service quality benchmark report a roundtable on support strategies for the year ahead advertorial podcast but interesting overview panel of different companies showing what goals and metrics e g csat drive support teams and support as career incubator developing supportability for a public cloud https cloud google com blog products management tools developing supportability for a public cloud example how infrastructure teams sre and cre can influence support team roles and responsibilities by optimizing metrics such as supportability see also deemed sli https cloud google com blog products management tools using deemed slis to measure customer reliability dropbox support team https blog dropbox com topics company the dropbox support you know and specific to dropbox but good insight into metrics tasks and technology of support teams from it certificate completers to googlers https blog google outreach initiatives grow with google it certificate completers googlers career paths into tech via support roles resident programs and certifications google cre https cloud google com blog products devops sre introducing a new era of customer support google customer reliability engineering google apos s customer reliability engineering team are sres working towards shared operational fate between google and google cloud platform customers great incident management https bitfieldconsulting com blog got game secrets of great incident management humerous but good overview on more detailed incident management and outage communcation roles microsoft support escalation engineer https twitter com timmisiak status 1566483206945525760 twitter thread around the escalation engineer role at microsoft that is only described in a pdf otherwise https download microsoft com download 7 8 0 7801716b 88a1 45a8 bd2d a8c1a49eeda9 ms escalationenginner 27 pdf and what other titles for level 2 or 3 support escalation roles exist on adaptive capacity in incident response https increment com reliability adaptive capacity incident response increment 16 on reliability has some good articles on incident management on call at any size https increment com on call on call at any size increment 1 focused on on call this article compares the devops models at different org sizes service capability performance scp standards https servicestrategies com scp standards for comparison scp is rarely used in tech firms but the breakdown can understand traditional industries we invite everyone at etsy to do an engineering rotation https www etsy com codeascraft engineering rotation rotations are an underutilized tool to build customer empathy etsy has used support rotations for everyone in the company since 2010 what is a support account manager https blogs vmware com kb 2020 03 what is a support account manager html vmware explaining their version of the support account manager in global support which in other firms may be similar to tam alongside a tam or alongside a csm depending on the org setup zappos clt https www zappos com about stories clt powered by service how zappos customer loyalty team is empowered to help zendesk apos s support metrics https www zendesk com blog customer support kpis need track advertorial but deep explanation of support metrics shows priorities of support work | awesome-list awesome management lists | server |
FEWD-2015-Spring | fewd 2015 spring author website | front_end |
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self-speculative-decoding | self speculative decoding code associated with the paper draft amp verify lossless large language model acceleration via self speculative decoding https arxiv org abs 2309 08168 overview assets intro png self speculative decoding is a novel inference scheme for accelerating large language models llms without additional neural network training and extra memory footprint it not only maintains consistent output quality but also ensures model compatibility making it a plug and play and cost effective solution for llm inference acceleration self speculative decoding involves a two stage process drafting stage generates draft tokens by selectively skipping certain intermediate layers verification stage employs the original llm to validate draft tokens in one forward pass cite our paper if you find this code and paper useful in your research please consider citing article zhang2023draft title draft verify lossless large language model acceleration via self speculative decoding author jun zhang jue wang huan li lidan shou ke chen gang chen sharad mehrotra year 2023 eprint 2309 08168 archiveprefix arxiv primaryclass cs cl requirements pytorch transformer numpy more in ssd yml files searching py selection of skipped layers by bayesian optmization decoding py core process of self speculative decoding modeling llama py model structure with self speculative decoding search ipynb main script searches for skipped layers evaluate sum ipynb main script evaluates self speculative decoding on text generation task evaluate code ipynb main script evaluates self speculative decoding on code generation task skip layers json layers skipped by draft models corresponding to different base models ssd yml relevant environment usage 1 configure the relevant environment according to ssd yml 2 execute search ipynb to get skipped layers to generate a draft model 3 execute evaluate sum ipynb to evaluate self speculative decoding on summarization 4 execute evaluate code ipynb to evaluate self speculative decoding on code generation | ai |
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gutenburg_nlp | this is a repo and this is the readme more coming | ai |
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