names
stringlengths 1
98
| readmes
stringlengths 8
608k
| topics
stringlengths 0
442
| labels
stringclasses 6
values |
|---|---|---|---|
goradd | build status https img shields io github actions workflow status goradd goradd go yml branch main goradd a rapid web application development framework for go goradd is a monolithic web development framework for rapidly creating a web application from a concept in your mind and then allowing you to as easily as possible maintain that application through all the twists and turns of the change process it is ideal for prototyping intranet websites websites that are very data intensive with many forms to gather information from users websites that require the security and speed of a compiled language websites with thousands of simultaneous users and websites being maintained by one or a small group of developers it is particularly good for developers new to go and or new to web development installation see the quick start doc quickstart md guide to get started requirements go 1 18 or greater a supported database up and running on your local development computer current supported databases are mysql postgres for developing goradd itself sass to build the css files from the scss source goals 1 80 20 rule where out of the box goradd will do most of the hard work of building a website and will quickly get you a working website but not necessarily one that you will want to ship goradd is architected to allow you to make changes and plug in other open source software as you need 1 incremental changes most development processes go through a lengthy requirement analysis process followed by a design process and a lengthy build process only to find out that what you built wasn t really what was needed instead goradd gets you a working website quickly and then lets you build out your application incrementally it tries to make it easy to restructure your website even at the data structure level and have your changes filter through your application quickly without requiring a complete rewrite 1 layered development goradd has its code you have your code and then there is an in between interface that changes over time goradd uses code generation to create this interface and clearly delineates the code that you can change to modify the interface vs code that it will generate as you change your data model the result is a product that is easy to change as your world and requirements change 1 most development happens in go what the user does in the browser is mirrored on the server which allows you to work in a way that feels like you are building a desktop application this makes your developers more productive and it allows you to build your app using common go tools like the built in unit test environment and documentation server you can still work in javascript if you want to or need to do custom ui work but often you don t have to 1 stability we want to build applications that real people use and that means reliance on tried and true technologies that work on a broad range of browsers and servers rather than technologies that require lots of polyfills for emerging standards 1 progressive enhancement if you use the provided widgets you can create a website that works even if the client turns off javascript all major browsers are currently supported but we hope to support opera mini as well 1 rich libraries of widgets goradd provides standard widgets corresponding to basic html controls and also provides bootstrap widgets if you have a particular css or javascript widget library you want to support building the goradd interface is fairly easy to do and the bootstrap library included gives you a model to follow 1 scalability goradd is architected for scalability all user state information is serializable to key value stores you might need to build the interface to the particular key value store you are interested in but that is not difficult some specific issues to consider 1 goradd requires a mysql or postgres database at this point for your main data store sql is great for creating most common data structures is great when you need to change your structure without destroying data and is fast enough for most applications however all data access is done through a common api so switching an application that is already written to another sql database like postgres oracle or any other database is very straight forward and is just a matter of implementing the database layer 2 goradd maintains the state of each user of the website in something we call the pagestate the pagestate is serializable to any key value store currently only an in memory store is provided but writing an interface to any common key value store is easy 3 live updates work through a pub sub mechanism goradd provides a single server in memory system out of the box but its easy to switch to any other pub sub mechanism including distributed systems like pubnub ally google cloud messaging etc there are no payloads with the messages and traffic is minimal future goals expand database drivers including nosql support webcomponents webcomponent architecture fits particularly well with goradd s architecture however webcomponents are not fully supported by all major browsers as webcomponents gain traction we hope to use them for future browser widgets automated generation of a rest api including generation of flutter client code anti patterns 1 goradd s html server is not microservice based while you can create microservices that serve parts of your application at its core goradd is a monolithic framework that includes an orm an mvc architecture and a basic control and form management library that said goradd is still very scalable 2 object oriented some of goradd uses a code pattern that mirrors traditional object oriented inheritance and gets around some of go s limitations in this area including implementing virtual functions we have found this particularly useful in the control library if you hate inheritance goradd is not for you if you don t mind it but you still like object composition too this is your place 3 code generation goradd relies heavily on code generation and in particular uses the related github com goradd got template engine to generate code acknowledgements goradd is a port of the php framework qcubed https github com qcubed qcubed qcubed itself was a fork of the php framework written by mike ho called qcodo https github com qcodo qcodo mike is the original mastermind of many of the concepts in goradd like a code generated orm the use of nodes to describe database entities and the relationships between them code generated crud forms to get you started scaffolding that separates code generated code from developer code so that code generation can continue throughout the life of the project a lightweight javascript layer for processing events and actions through ajax the formstate engine to mirror the state of html and javascript widgets on the server side so that the server side engineer has complete control over what is happening in the html without needing to write javascript goradd relies on a number of other open source projects including the shurcool github markdown library https github com shurcool github flavored markdown alex edward s scs session manager library https github com alexedwards scs akeda bagus inflector library https github com gedex inflector gorilla s websocket library https github com gorilla websocket kenneth shaw s snaker library https github com kenshaw snaker stretchr s testify testing library https github com stretchr testify goradd was created and is maintained by shannon pekary https github com spekary thanks to jetbrains https www jetbrains com go for use of the goland go editor browserstack https d3but80xmlhqzj cloudfront net production images static header bstack logo svg browserstack http browserstack com for automated browser testing tools | front_end |
|
supernova | logo http www supernovaengine org img logo blue png https github com supernovaengine supernova actions workflows android yml badge svg https github com supernovaengine supernova actions workflows build tool yml badge svg https github com supernovaengine supernova actions workflows cmake desktop yml badge svg entity component system ecs and data oriented design engine using object oriented for api supernova is a free and open source cross platform game engine for creating 2d and 3d projects with lua or c it is lightweight and promotes the simplest way to use the best performance of a data oriented design screenshot1 https supernovaengine org img screen1 png live samples https samples supernovaengine org supports web with emscripten opengl es 2 0 opengl es 3 0 android opengl es ios metal opengl es macos metal opengl linux opengl windows directx opengl features 2d and 3d scenes gltf and obj models load model skin and morph targets pbr shaders lights dynamic shadows particle system animations sprites fog and sky ui terrain lod textures and shaders pool 3d audio cross platform persistence system multithreading support 2d physics upcoming features 3d physics instancing more ui components water samples for all samples source code https github com supernovaengine supernova samples documentation in development for tutorials and all engine information https docs supernovaengine org building building for windows https docs supernovaengine org getting started building building for windows building for linux https docs supernovaengine org getting started building building for linux building for macos https docs supernovaengine org getting started building building for macos building for ios https docs supernovaengine org getting started building building for ios building for android https docs supernovaengine org getting started building building for android building for html5 https docs supernovaengine org getting started building building for html5 third party libraries sokol https github com floooh sokol zlib license lua https www lua org mit license luabridge 3 0 https github com kunitoki luabridge3 mit license soloud https github com jarikomppa soloud zlib libpng license stb https github com nothings stb mit license json https github com nlohmann json mit license tinygltf https github com syoyo tinygltf mit license tinyobjloader https github com tinyobjloader tinyobjloader mit license tinyxml2 https github com leethomason tinyxml2 zlib license box2d https github com erincatto box2d mit license license licensed under mit license you can use freely for whatever you want including commercial projects | cross-platform directx entity-component-system game-development game-engine opengl opengl-es data-oriented-design ecs game-dev gamedev metalapi | os |
Surviving-with-android | surviving with android this repository contains the source code related to the posts published in surviving with android https www survivingwithandroid com credits author francesco azzola jfrankie survivingwithandroid gmail com mailto survivingwithandroid gmail com http 4 bp blogspot com bfh2unbdc84 ucgqvjkdmwi aaaaaaaaaoc w4kgitu fyk s1600 google plus 58 png http www google com francescoazzola http 3 bp blogspot com jsqstno9n8 ucgwew7v9ai aaaaaaaaaom qfvujiaysg s1600 linkedin png http it linkedin com in francescoazzola license copyright 2012 2014 francesco azzola surviving with android 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 | android java tutorial open-source internet-of-things iot android-things | server |
odin-projects | a collection of small projects for learning html css javascript jquery git ruby rails | front_end |
|
ispider | http i2 51cto com images blog 201804 02 6b349d970e418716572470efe2947e46 png x oss process image watermark size 16 text qduxq1rp5y2a5a6i color ffffff t 100 g se x 10 y 10 shadow 90 type zmfuz3pozw5nagvpdgk 51cto http blog 51cto com xpleaf 2093952 | os |
|
llm-tools | llm tools collection of tools to assist with using large large models llm overview the ability to run an llm on your home computer is a huge resource for productivity and development this repo contains a handful of one off scripts and demos for interacting locally hosted llms and some examples using the langchain embedchain and llamaindex frameworks index openai openai redpajama redpajama llama2 llama2 mpt 7b mpt 7b vicuna vicuna embedchain embedchain featured embedchain helper embedchain https github com embedchain embedchain makes it very easy to embed data add it to a chromadb instance and then ask questions about your data with an llm i created a small helpers to make this even easier ec cli py python ec cli py help usage ec cli py h e embed text text q query m openai llama2 embedchain options h help show this help message and exit e embed embed embed add new resource to db text text add text from local file q query query query query the model m openai llama2 model openai llama2 llm model ec cli py demo assets embedchain cli png data added with the embed or text arguments is ingested into your chromadb you can also run ec api server py embedchain ec api server py and posting to the embed endpoint you can then query your data using the query argument or the query endpoint of the api server stack running models and tools locally is all good and well but pretty quickly you ll want a more robust stack for things like inference hosting orchestration retrieving data from external sources providing access to external tools managing prompts https github com deadbits prompt serve application hosting interaction via common applications imessage telegram etc maintain memory history of past interactions embeddings model store vector embeddings and metadata manage documents prior to embeddings creation logging the list below includes a few of my favorites prompt serve https github com deadbits prompt serve llamaindex https github com jerryjliu llama index embedchain https github com embedchain embedchain langchain https python langchain com docs get started introduction html chromadb https www trychroma com fastchat https github com lm sys fastchat gradio https www gradio app openai https openai com redpajama https www together xyz blog redpajama models v1 mosaic ml https huggingface co mosaicml gptcache https github com zilliztech gptcache lambda cloud https cloud lambdalabs com metal https getmetal io bentoml https github com ssheng bentochain modal https modal com | ai |
|
griddb | img src https griddb org brand resources griddb logo png color png align center height 240 alt griddb visit website https img shields io badge website visit orange svg https griddb net github all releases https img shields io github downloads griddb griddb nosql total svg github release https img shields io github release griddb griddb nosql svg overview griddb is database for iot with both nosql interface and sql interface please refer to griddb features reference https github com griddb docs en blob master manuals griddb featuresreference md for functionality this repository includes server and java client and jdbc repository https github com griddb jdbc includes jdbc driver quick start using source code we have confirmed the operation with linux x64 centos 7 9 gcc 4 8 5 ubuntu 18 04 gcc 4 8 5 note please install python3 in advance please install tcl like yum install tcl x86 64 in advance build a server and client java bootstrap sh configure make note when you use maven build for java client please run the following command then gridstore x x x jar file is created on target cd java client make source for mvn sh mvn clean mvn install start a server export gs home pwd export gs log pwd log export path path gs home bin bin gs passwd admin input your password vi conf gs cluster json clustername your clustername input your clustername bin gs startnode bin gs joincluster c your clustername u admin your password execute a sample program export classpath classpath gs home bin gridstore jar mkdir gssample cp gs home docs sample program sample1 java gssample javac gssample sample1 java java gssample sample1 239 0 0 1 31999 your clustername admin your password person name name02 status false count 2 lob 65 66 67 68 69 70 71 72 73 74 stop a server bin gs stopcluster u admin your password bin gs stopnode u admin your password quick start using griddb service and cli docs usingserviceandcli md quick start using rpm or deb we have confirmed the operation with linux x64 centos 7 9 ubuntu 18 04 20 04 note please install python3 in advance when you install this package a gsadm os user are created in the os execute the operating command as the gsadm user you don t need to set environment vatiable gs home and gs log there is java client library gridstore jar on usr share java and a sample on usr gridb xxx docs sample programs if old version has been installed please uninstall and remove conf and data on var lib gridstore install centos sudo rpm ivh griddb x x x linux x86 64 rpm ubuntu sudo dpkg i griddb x x x amd64 deb note x x x is the griddb version start a server gsadm cp usr griddb x x x conf multicast conf note default is only for local connection so please change the configure files gsadm gs passwd admin input your password gsadm vi conf gs cluster json clustername your clustername input your clustername gsadm gs startnode gsadm gs joincluster c your clustername u admin your password execute a sample program export classpath classpath usr share java gridstore jar mkdir gssample cp usr griddb x x x docs sample program sample1 java gssample javac gssample sample1 java java gssample sample1 239 0 0 1 31999 your clustername admin your password person name name02 status false count 2 lob 65 66 67 68 69 70 71 72 73 74 stop a server gsadm gs stopcluster u admin your password gsadm gs stopnode u admin your password if necessary please refer to installation troubleshooting docs troubleshootingtips md document refer to the file below for more detailed information features reference https github com griddb docs en blob master manuals griddb featuresreference md quick start guide https github com griddb docs en blob master manuals griddb quickstartguide md java api reference http griddb github io docs en manuals griddb java api reference html c api reference http griddb github io docs en manuals griddb c api reference html tql reference https github com griddb docs en blob master manuals griddb tql reference md jdbc driver userguide https github com griddb docs en blob master manuals griddb jdbc driver userguide md sql reference https github com griddb docs en blob master manuals griddb sql reference md v3 0 release notes docs griddb 3 0 0 ce release notes md v4 0 release notes docs griddb 4 0 ce release notes md v4 1 release notes docs griddb 4 1 ce release notes md v4 2 release notes docs griddb 4 2 ce release notes md v4 3 release notes docs griddb 4 3 ce release notes md v4 5 release notes docs griddb 4 5 ce release notes md v4 6 release notes docs griddb 4 6 ce release notes md v5 0 release notes docs griddb 5 0 ce release notes md v5 1 release notes docs griddb 5 1 ce release notes md v5 3 release notes docs griddb 5 3 ce release notes md client and connector there are other clients and api for griddb nosql interface griddb c client https github com griddb c client griddb python client https github com griddb python client griddb ruby client https github com griddb ruby client griddb go client https github com griddb go client griddb node js client swig based https github com griddb nodejs client griddb node api node addon api based https github com griddb node api griddb php client https github com griddb php client griddb perl client https github com griddb perl client griddb rust client https github com griddb rust client sql interface griddb jdbc driver https github com griddb jdbc nosql sql interface griddb webapi https github com griddb webapi griddb cli https github com griddb cli others griddb export import https github com griddb expimp there are some connectors for other oss griddb connector for apache hadoop mapreduce https github com griddb griddb hadoop mapreduce griddb connector for ycsb https github com brianfrankcooper ycsb tree master griddb https github com brianfrankcooper ycsb tree master griddb griddb connector for kairosdb https github com griddb griddb kairosdb griddb connector for apache spark https github com griddb griddb spark griddb foreign data wrapper for postgresql https github com pgspider griddb fdw https github com pgspider griddb fdw griddb data source for grafana https github com griddb griddb datasource griddb plugin for redash https github com griddb griddb redash griddb plugin for fluentd https github com griddb fluent plugin griddb griddb plugin for tableau https github com griddb tableau plugin griddb griddb connector for apache kafka https github com griddb griddb kafka connect packages docs packages md community issues use the github issue function if you have any requests questions or bug reports pullrequest use the github pull request function if you want to contribute code you ll need to agree griddb contributor license agreement cla rev1 1 pdf by using the github pull request function you shall be deemed to have agreed to griddb contributor license agreement license the server source license is gnu affero general public license agpl while the java client library license and the operational commands is apache license version 2 0 see 3rd party 3rd party md for the source and license of the third party | database griddb nosql iot fast time-series newsql sql bigdata timeseries | server |
HoneyEncryption | honeyencryption a web app for implementing honey encryption written using python for honey encryption modules django for backend purposes bootstrap for front end development this honey encryption algorithm provides resilience towards brute force attack which is one of the mazor threat for any encryption methods | server |
|
reading-notes | reading notes what is javascript javascript is a scripting or programming language that allows you to implement complex 2 why it is used we use javascript in the website to add functions and build dynamic pages most of the time javascript used for client side programming but javascript is also used for backend programming but we don t go on that so let s discuss why javascript is used i will make easy for you to understand adding interactive behavior to web pages javascript allows users to interact with web pages creating web and mobile apps developers can use various javascript frameworks for developing and building web and mobile apps building web servers and developing server applications and javascript is also used for game development features on web pages every time a web page does more than just sit there and display static information for you to look at displaying timely content updates interactive maps animated 2d 3d graphics scrolling video jukeboxes etc you can bet that javascript is probably involved | server |
|
K210_FreeRTOS_SDK | kendryte k210 sdk with freertos this sdk is for kendryte k210 which contains freertos support br ported from kendryte kendryte freertos sdk https github com kendryte kendryte freertos sdk changes to make the sdk work better with micropython but can be used as sdk for other applications to you may want to edit lib freertos conf freertosconfig h to make some changes to better suit your needs use the latest kendryte gnu toolchain v8 2 0 20190409 https github com kendryte kendryte gnu toolchain releases tag v8 2 0 20190409 to compile only the libraries execute no project given bash cd build cmake dtoolchain path to kendryte toolchain bin make the following libraries will be created in build directory third party fatfs libfatfs a third party lwip liblwipcore a sdk bsp libbsp a sdk drivers libdrivers a sdk hal libhal a sdk posix libposix a sdk freertos libfreertos a to build the project place your project source files in the directory src project name and execute bash cd build cmake dproj project name dtoolchain path to kendryte toolchain bin make use jn make option for faster build example build uart example project change working directory to build directory br export your kendryte toolchain directory path for example br export cross compile pwd kendryte toolchain bin execute cmake dproj uart example dtoolchain cross compile make j8 flash the created uart example bin to your board kflash py is provided in the src directory br change working directory to src directory br execute kflash py p dev ttyusb0 b 2000000 t build uart example bin this version of kflash py has terminal emulator included with t option it will be started after flashing modifications drivers uarths added uarths baudrate global variable used by uarths init function uart enable using external uart irq handler added functions uart get driver handle t file uart get handle void driver i2c some changes and new functions spi many changes some new functions much improved slave support gpiohs some changes for better interrupt handling gpio added some missing functions timer added some functions pwm added some functions dmac dma completion isr do not assert on wrong int status but provide the interrupt status in global variable to be used by caller function syslog various changes print log time in micro seconds make syslog level configurable during run time make syslog colors configurable during run time add syslog mutex enable filtering of non printable characters freertos tasks lot of changes for better multiprocessor support some useful functions added or enabled all notification functions uses 64 bit values freertos heap 4 added functions pvportrealloc pvportcalloc filesystem added setting file time from external function get fattime void function enabled f mkfs function default code page set to 850 lwip added sha256 enabled ppp support enabled igmp thread priority set to 12 sntp added function set rtc time from seconds time t seconds to set rtc enabled support for dns names added reading 64 bit csr function read csr64 reg other small changes for better functionality and no compiler warnings full list of modified files lib arch include encoding h lib bsp entry user c dump c printf c device dmac cpp gpiohs cpp i2c cpp pwm cpp rtc cpp spi cpp timer cpp uart cpp lib drivers src storage sdcard cpp lib utils include syslog h lib freertos conf freertosconfig h include devices h filesystem h hal h freertos h osdefs h portabe h task h kernel driver hpp object hpp kernel devices cpp storage filesystem cpp portable heap 4 c portmacro h lib hal uarths c include spi h uarths h third party fatfs source ffconf h lwip src filelist cmake api sockets c include lwipopts h lwip opt h apps sntp opts h netif ppp ppp opts h | k210 freertos sdk kendryte | os |
databaseproject | databaseproject project for the msc in software engineering and databases | server |
|
cvessentials | essentials of computer vision assets blurb png a math first approach to learning computer vision in python the repository will contain all html pdf markdown python scripts data and media assets images or links to supplementary videos if you wish to contribute i need translations for bahasa indonesia please submit a pull request study guide chapter 1 affine transformation definition transformation lecture affine html definition mathematical definitions transformation lecture affine html mathematical definitions practical examples transformation lecture affine html practical examples motivation transformation lecture affine html motivation getting affine transformation transformation lecture affine html getting affine transformation trigonometry proof transformation lecture affine html trigonometry proof code illustrations transformation lecture affine html code illustrations summary and key points transformation lecture affine html summary and key points optional video rotation matrix explained visually https www youtube com watch v tiixrntlj8u w bahasa indonesia voiceover https www youtube com watch v pwfxr hmyuw references and learn by building modules chapter 2 kernel convolutions definition edgedetect kernel html definition optional video kernel convolutions explained visually https www youtube com watch v wmmhcrx4obg mathematical definitions edgedetect kernel html mathematical definitions padding edgedetect kernel html a note on padding smoothing and blurring edgedetect kernel html smoothing and blurring a note on terminology edgedetect kernel html a note on terminology kernels or filters correlations vs convolutions code illustrations mean filtering edgedetect kernel html code illustrations mean filtering role in convolution neural networks edgedetect kernel html role in convolutional neural networks handy kernels for image processing edgedetect kernel html handy kernels for image processing gaussian filtering edgedetect kernel html gaussian filtering sharpening kernels edgedetect kernel html sharpening kernels gaussian kernels for sharpening edgedetect kernel html approximate gaussian kernel for sharpening unsharp masking edgedetect kernel html unsharp masking summary and key points edgedetect kernel html summary and key points references and learn by building modules chapter 3 edge detection definition edgedetect edgedetect html definition gradient based edge detection edgedetect edgedetect html gradient based edge detection sobel operator edgedetect edgedetect html sobel operator discrete derivative edgedetect edgedetect html intuition discrete derivative code illustrations sobel operator edgedetect edgedetect html code illustrations sobel operator gradient orientation magnitude edgedetect edgedetect html dive deeper gradient orientation magnitude image segmentation edgedetect edgedetect html image segmentation intensity based segmentation edgedetect edgedetect html intensity based segmentation simple thresholding edgedetect edgedetect html simple thresholding adaptive thresholding edgedetect edgedetect html adaptive thresholding edge based contour estimation edgedetect edgedetect html edge based contour estimation contour retrieval and approximation edgedetect edgedetect html contour retrieval and approximation canny edge detector edgedetect edgedetect html canny edge detector edge thinning edgedetect edgedetect html edge thinning hysteresis thresholding edgedetect edgedetect html hysteresis thresholding references and learn by building modules chapter 4 digit classification a note on deep learning digitrecognition digitrec html what about deep learning why not mnist digitrecognition digitrec html region of interest region of interest roi identification digitrecognition digitrec html selecting region of interest arc length and area size digitrecognition digitrec html arc length and area size dive deeper roi digitrecognition digitrec html dive deeper roi roi extraction digitrecognition digitrec html roi extraction morphological transformations digitrecognition digitrec html morphological transformations erosion digitrecognition digitrec html erosion dilation digitrecognition digitrec html dilation opening and closing digitrecognition digitrec html opening and closing learn by building morphological transformation digitrecognition digitrec html learn by building morphological transformation seven segment display digitrecognition digitrec html seven segment display practical strategies digitrecognition digitrec html practical strategies contour properties digitrecognition digitrec html contour properties references and learn by building modules digitrecognition digitrec html references chapter 5 facial recognition approach and motivation the course is foundational to anyone who wish to work with computer vision in python it covers some of the most common image processing routines and have in depth coverage on mathematical concepts present in the materials math first approach tons of sample python scripts py 45 python scripts from chapter 1 to 4 for plug and play experiments multimedia image illustrations video explanation quiz 57 image assets from chapter 1 to 4 for practical illustrations 4 pdfs and 4 htmls one for each chapter practical tips on real world applications the course s only dependency is opencv getting started is as easy as pip install opencv contrib python and you re set to go question what about deep learning libraries no while using deep learning for images made for interesting topics they are probably better suited as an altogether separate course series this course series tutorial series focused on the essentials of computer vision and for pedagogical reasons try not to be overly ambitious with the scope it intends to cover there will be similarity in concepts and principles as modern neural network architectures draw plenty of inspirations from classical computer vision techniques that predate it by first learning how computer vision problems are solved the student can compare that to the deep learning equivalent which result in a more comprehensive appreciation of what deep learning offer to modern day computer scientists course materials preview python scripts digitrecognition assets croproi gif pdf and html assets ecv caption gif workshops i conduct in person lectures using the materials you find in this repository these workshops are usually paid because there are upfront costs to afford a venue and crew not just any venue but a learning environment that is fully equipped audio desks charging points for everyone massive screen projector walking space fo teaching assistants dinner you can follow me on linkedin http linkedin com in chansamuel to be updated about the latest workshops i also make long form programming tutorials and lessons on computer vision on my youtube channel https www youtube com samuelchan introduction to ai in computer vision 4th january 2020 jakarta kantorkuu citywalk sudirman jakarta pusat time 1300 1600 3 hour fee free for algoritma alumni 100k idr for public computer vision principles and practice 21st and 22nd january 2020 jakarta accelerice jl rasuna said jakarta selatan time 1830 2130 6 hour fee free for algoritma alumni 1 5m idr for public 24th and 25th feburary 2020 bangkok justco samyan mitrtown time 1830 2130 6 hour fee free for algoritma alumni 9000 thb for public image assets car2 png pen jpg lego jpg and sudoku jpg are under creative commons cc license sarpi jpg castello png canal png and all other photography used are taken during my trip to venice and you are free to use them all assets in chapter 4 the digitrecognition folder are mine and you are free to use them all other illustrations are created by me in keynote videos are created by me and bahasa indonesia voice over on my videos is by tiara dwiputri https github com tiaradwiputri new to programming 50 minute quick start here s a video computer vision essentials 1 https youtu be nwxy4asrlga i created to get you through the installation and taking the first step into this lesson path if you need help in the course attend my in person workshops on this topic computer vision essentials free throughout the course of the year follow me youtube https www youtube com samuelchan linkedin http linkedin com in chansamuel github https github com onlyphantom | computer-vision workshops python cv2 cv course course-materials tutorial machine-learning deep-learning machinelearning machinelearning-python | ai |
ConstructionLK | constructionlk level 2 project faculty of information technology university of moratuwa alt text constructionlk resources banner jpg raw true constructionlk | server |
|
awesome-CRISPR | awesome crispr list of software websites databases papers for genome engineering including but not limited to guide design genome editing outcome screening analysis etc contributions welcome https github com davidliwei awesome crispr blob master contributing md this collection is inspired by awesome single cell https github com seandavi awesome single cell did you use any of the softwares below take a survey here https forms gle qbx7mkjm7u6jssr4a contents guide design tools off target prediction algorithms genome editing outcomes and predictions screening analysis algorithms databases crispr identification and diversity reviews summary not a complete list summary imgs summary png guide design atum https www atum bio ecommerce cas9 input webserver a website to design grna s which efficiently engineer your target and minimize off target effects using atum scoring algorithms benchling https benchling com crispr webserver a website that can design optimal crispr grnas by analyzing target location specificity and efficiency breaking cas http bioinfogp cnb csic es tools breakingcas webserver a website of designing grnas based on multiple organisms cas designer http www rgenome net cas designer webserver a bulge allowed quick guide rna designer for crispr cas derived rgens cas13design https cas13design nygenome org webserver this resource provides optimized guide rnas to target transcripts in the human transcriptome model organisms and viral rna genomes cgat https cgat readthedocs io en latest cgat html python cgat provides an extensive suite of tools designed to assist in the analysis of genome scale data from a range of standard file formats chopchopv3 https chopchop cbu uib no webserver a web tool for selecting target sites for crispr cas9 crispr cpf1 crispr cas13 or nickase talen directed mutagenesis cld https github com boutroslab cld software crispr library designer cld a software for multispecies design of single guide rna libraries crisflash https github com crisflash crisflash software a software to generate crispr guide rnas against genomes annotated with individual variation crispeta http crispeta crg eu python webserver a flexible tool to design optimal pairs of sgrnas for deletion of desired genomic regions crispor http crispor tefor net webserver a program helps to design evaluate and clone guide sequences for the crispr cas9 system crispr library designer https github com boutroslab cld docker software a software for the multispecies design of sgrna libraries crispr lifepipe https www lifeandsoft com crisprlifepipe webserver a web application which allows designing grna and donor dna sequences for crispr experiments crispr multitargeter http www multicrispr net index html webserver a web based tool which automatically searches for crispr guide rna targets it can find highly similar or identical target sites in multiple genes transcripts or design targets unique to particular genes or transcripts crispr do http cistrome org crispr webserver a web application for designing and optimizing of guide sequences that target both coding and non coding regions in spcas9 crispr system across human mouse zebrafish fly and worm genomes crispr dt http bioinfolab miamioh edu crispr dt webserver a web application that allows a user to upload dna sequences set specifications according to experimental goals and recieve target candidates crispr era http crispr era stanford edu webserver a fast and comprehensive guide rna design tool for genome editing repression and activation crispr focus http cistrome org crispr focus webserver a web based platform to search and prioritize sgrnas for crispr screening experiments crispr ko https portals broadinstitute org gpp public analysis tools sgrna design webserver a tool ranks and picks sgrna sequences candidates for the targets provided while attempting to maximize on target activity and minimize off target activity crispr local http crispr hzau edu cn crispr local software webserver a local single guide rna sgrna design tool for non reference plant genomes crispr p http crispr hzau edu cn crispr2 webserver one of the most popular tools for sgrna design in plants with minimal off target effects crispr plant https www genome arizona edu crispr webserver this tool provides a platform to help researchers to design and construct specific grnas for crispr cas9 mediated genome editing in plants crispr rt http bioinfolab miamioh edu crispr rt webserver a web application for rna targeting prediction and visualization with the crispr c2c2 cas13a system crispra i https portals broadinstitute org gpp public analysis tools sgrna design crisprai webserver this tool ranks and picks crispra i sgrna sequences candidates by the gene targets provided while attempting to maximize on target activity and minimizing off target activity crisprdirect http crispr dbcls jp webserver an algorithm for on target sgrna design crisprscan http www crisprscan org webserver a novel algorithm to predict grna efficiency crisprseek https bioconductor org packages release bioc html crisprseek html r a bioconductor package for identifying target specific guide rnas for crispr cas9 genome editing systems crispy web https crispy secondarymetabolites org input webserver this tool allows researchers to interactively select a region of their genome of interest to scan for possible sgrnas crop it http cheetah bioch virginia edu adlilab crop it homepage html webserver a web tool assists biologists in designing crispr cas9 sgrnas by predicting the off target sites and ranking them according to the chances of occurrence ct finder http bioinfolab miamioh edu ct finder webserver a web service that allows a user to upload dna sequences set specifications according to experimental goals and receive candidate guide rna targets deepcpf1 http deepcrispr info python webserver deep learning based prediction of crispr cpf1 activity at endogenous sites deepcrispr https github com bm2 lab deepcrispr python webserver a deep learning based prediction model for sgrna on target knockout efficacy and genome wide off target cleavage profile prediction deephf http www deephf com webserver optimized crispr guide rna design for two high fidelity cas9 variants by deep learning deepspcas9 http deepcrispr info deepspcas9 python webserver a deep learning based computational model for spcas9 activity prediction drsc http www flyrnai org crispr webserver this tool provides reagents targeting individual genes focused libraries genome scale libraries and other resources for on site screening e crisp http www e crisp org e crisp webserver an algorithm is available for twelve organisms and can be easily extended to design both sgrna and pgrna eupagdt http grna ctegd uga edu webserver a web tool tailored to design crispr guide rnas for eukaryotic pathogens flashfry https github com mckennalab flashfry software a command line tool for high throughput design and screening of cas9 cas12a cpf1 and other crispr targets with a focus on speed many design metrics are available including common on and off target scores gpp azimuth https portals broadinstitute org gpp public analysis tools sgrna design webserver a tool that ranks and picks candidate crisprko sgrna sequences for the targets provided while attempting to maximize on target activity and minimizing off target activity gpp web portal https portals broadinstitute org gpp public webserver a web based platform for generating matching sgrna knockout crisprko designed for a mouse or human gene transcript or target sequence guide picker https www deskgen com guidebook webserver a meta tool for designing crispr experiments by presenting ten different guide rnas scoring functions in one simple graphical interface guides http guides sanjanalab org webserrver a web application to design customized crispr knockout libraries as easily as possible without sacrificing control guidescan http www guidescan com webserver a generalized crispr guiderna design tool horizon discovery https dharmacon horizondiscovery com gene editing crispr cas9 crispr design tool webserver it provides an intuitive one stop location for guide rna design and ordering use the design tool to order guide rnas for targeted gene knockout or hdr mediated genome editing idt https www idtdna com site order designtool index crispr custom webserver it can generate crispr cas9 guide rnas targeting any sequence from any species off spotter https cm jefferson edu off spotter webserver a website identifies all genomic instances for the given combination of grna s pam number of mismatches and seed pavooc https pavooc me webserver a web tool that design and control cutting edge scored sgrnas in the blink of an eye pgrnadesign https bitbucket org liulab pgrnadesign git python an algorithm to design paired grnas for knocking out long non coding rnas lncrnas pgrnafinder https github com xiexiaowei pgrnafinder python a web based tool to design distance independent paired grna primedesign http primedesign pinellolab org webserver software a flexible and comprehensive design tool for prime editing primeedit https primeedit nygenome org webserver this website designs pegrnas and secondary sgrnas for pe2 pe3 and pe3b prime editors for clinvar human pathogenic variants protospacer workbench http www protospacer com software protospacer workbench offers an interface for finding evaluating and sharing cas9 guide rna grna designs sgrna scorerv2 0 https sgrnascorer cancer gov python webserver a software allows users to identify sgrna sites for any pam sequence of interest ssc http cistrome org ssc webserver a sequence model for predicting sgrna efficiency in crispr cas9 knockout experiments ssfinder https code google com archive p ssfinder software a high throughput crispr cas target sites prediction tool synthego https www synthego com products bioinformatics crispr design tool webserver a software chooses from over 120 000 genomes and over 8 300 species to easily design guide rnas for gene knockout with minimal off target effects wu crispr http crispr wustl edu webserver a web tool to design grna for crispr cas9 knockout system off target prediction algorithms casfinder http arep med harvard edu casfinder python an algorithm for identifying specific cas9 targets in genomes casot http casot cbi pku edu cn webserver a tool to find potential off target sites in any given genome or user provided sequence with user specified types of the protospacer adjacent motif and the number of mismatches allowed in the seed and non seed regions cas offinder http www rgenome net cas offinder webserver an algorithm that searches for potential off target sites of cas9 rna guided endonucleases cctop https crispr cos uni heidelberg de webserver an algorithm to predict crispr cas9 target chopchop http chopchop cbu uib no index php webserver a web tool for selecting target sites for crispr cas9 crispr cpf1 crispr rgen tools http www rgenome net webserver an algorithm can identify of rgen off target sites without limitation by the number of mismatches and allow variations in pam sequences recognized by cas9 meanwhile it can search for rgen targets with low potential off target effects and high knock out efficiencies in the exon region crisprtarget http bioanalysis otago ac nz crisprtarget crispr analysis html webserver a tool to explore the targets of crispr rnas flycrispr http targetfinder flycrispr neuro brown edu webserver specificity for drosophila to find crispr target sites and evaluate each identified crispr target geneious crispr site finder https www geneious com academic software it searches for off target binding sites against a database of sequences gt scan https gt scan csiro au webserver a flexible web based tool that ranks all potential targets in a user selected region of a genome in terms of how many off targets they have gt scan2 https github com bauerlab gt scan2 r it is chromatin and transcription aware target site optimization tool for crispr cas9 sgrnacas9 http www biootools com software a software package that can be applied to search rapidly for crispr target sites and analyze the potential off target cleavage sites of crispr cas9 simultaneously wge https www sanger ac uk htgt wge webserver a algorithm shows crispr sites paired or single in and around genes and scores the pairs for potential off target sites and browse individual and paired crispr sites across human mouse genome editing outcomes and predictions amplicondivider https github com mlafave amplicondivider perl amplicondivider contains the scripts used to identify deletion and insertion variants divs in dna amplicons batch ge https github com woutersteyaert batch ge git perl a batch analysis of next generation sequencing data for genome editing assessment cas analyze http www rgenome net cas analyzer webserver an online tool for assessing genome editing results using ngs data cris py https github com patrickc01 cris py python a versatile and high throughput analysis program for crispr based genome editing crispr dart https github com bimsbbioinfo crispr dart python r a workflow to analyze crispr cas induced indel mutations in targeted amplicon dna sequencing can work with single multiplexed sgrnas per region s crispr dav https github com pinetree1 crispr dav git perl r a crispr ngs data analysis and visualization pipeline crispr ga http crispr ga net webserver a platform to assess the quality of gene editing using ngs data to quantify and characterize insertions deletions and homologous recombination crispresso2 http crispresso2 pinellolab org python webserver a software pipeline for the analysis of targeted crispr cas9 sequencing data this algorithm allows for the quantification of both non homologous ends joining nhej and homologous directed repair hdr occurrences crisprmatch https github com zhangtaolab crisprmatch python an automatic calculation and visualization tool for high throughput crispr genome editing data analysis crisprvariants https github com markrobinsonuzh crisprvariants r a r based toolkit for counting localizing and plotting targeted insertion and deletion variant combinations from crispr cas9 mutagenesis experiments forecast https partslab sanger ac uk forecast python webserver a method to predict and view mutational profiles for individual grnas indelphi https www crisprindelphi design webserver a computational model that predicts the heterogeneous 100 unique mixture of indels resulting from microhomology mediated end joining mmej and non homologous end joining nhej at a crispr induced cut indelphi synthesizes known biological mechanisms of dna repair with machine learning and achieves strong accuracy lindel https lindel gs washington edu lindel webserver a logistic regression model for accurate indel prediction induced by cas9 cleavage nar 2019 https academic oup com nar advance article doi 10 1093 nar gkz487 5511473 microhomology predictor http www rgenome net mich calculator webserver a web tool can simply predict the mutation patterns caused by microhomology mediated end joining mmej and estimate how frequently unwanted in frame deletions would happen sprout https zou group github io sprout webserver a machine learning algorithm to predict the repair outcome of a crispr cas9 knockout experiment trained in primary human t cells sprout may facilitate design of spcas9 guide rnas in therapeutically important primary human cells screening analysis bagel https sourceforge net projects bagel for knockout screens python an algorithm is designed to identify negatively selected genes by calculating a bayes factor for each gene representing a confidence measure that the gene knockout results in a fitness defect bayesian analysis of gene knockout screens using pooled library crispr or rnai carpools https github com boutroslab carpools r a pipeline for end to end analysis of pooled crispr cas9 screening data including in depth analysis of screening quality and sgrna phenotypes castle https bitbucket org dmorgens castle python based on the empirical bayesian framework to account for multiple sources of variability including reagent efficacy and off target effects ceres https depmap org ceres r an algorithm to estimate gene dependency levels from crispr cas9 essentiality screens while accounting for this effect crisphiermix https github com timydaley crisphiermix r a hierarchical mixture model for crispr pooled screens crisprbetabinomial https cran r project org package cb2 r a software provides functions for hit gene identification and quantification of sgrna abundances for crispr pooled screen data analysis using beta binomial test crisprcloud2 http crispr nrihub org webserver a secure convenient and precise analysis pipeline for the deconvolution of your crispr pooled screening data crispr surf https github com pinellolab crispr surf webserver a computational framework to discover regulatory elements by deconvolution of crispr tiling screen data drugz https github com hart lab drugz python drugz is a software that detects synergistic and suppressor drug gene interactions in crispr screens paper genome medicine 2019 https genomemedicine biomedcentral com articles 10 1186 s13073 019 0665 3 edger http www bioconductor org packages release bioc html edger html r known as an rna seq differential expression analysis tool edger also provides complete analysis solution for screening data encore https www helmholtz muenchen de index php id 44614 java an efficient software for crispr screens identifies new players in extrinsic apoptosis gscreend http bioconductor org packages gscreend r modelling asymmetric count ratios in crispr screens to decrease experiment size and improve phenotype detection paper genome biology 2020 https genomebiology biomedcentral com articles 10 1186 s13059 020 1939 1 hitselect https github com diazlab matlab a comprehensive tool for high complexity pooled screen analysis jacks https github com felicityallen jacks python a bayesian method that jointly analyses screens performed with the same guide rna library mageck vispr https bitbucket org liulab mageck vispr python a comprehensive quality control analysis and visualization workflow for crispr cas9 screens mageck https bitbucket org liulab mageck python model based analysis of genome wide crispr cas9 knockout mageck for prioritizing single guide rnas genes and hitselectpathways in genome scale crispr cas9 knockout screens paper genome biology 2014 https genomebiology biomedcentral com articles 10 1186 s13059 014 0554 4 mageckflute https bitbucket org liulab mageckflute r a pipeline for performing computational analysis of crispr screens mageckflute combines the mageck and mageck vispr algorithms and incorporates additional downstream analysis functionalities maude https github com carldeboer maude r an r package for analyzing sorting based e g facs crispr screens and other high throughput screens with a sorting readout pbnpa https cran r project org web packages pbnpa r a permutation based non parametric analysis pbnpa algorithm which computes p values at the gene level by permuting sgrna labels and thus it avoids restrictive distributional assumptions riger https software broadinstitute org gene e extensions html gene e extension rnai gene enrichment ranking riger rsa https admin ext gnf org publications rsa perl r c redundant sirna activity rsa is a probability based approach for the analysis of large scale rnai screens scmageck https bitbucket org weililab scmageck python r a computational model to identify genes associated with multiple expression phenotypes from crispr screening coupled with single cell rna sequencing data paper genome biology 2020 https genomebiology biomedcentral com articles 10 1186 s13059 020 1928 4 screenbeam https github com jyyu screenbeam r gene level meta analysis of high throughput functional genomics rnai or crispr screens stars https portals broadinstitute org gpp public software stars python a gene ranking algorithm for genetic perturbation screens computing a score for genes using the probability mass function of a binomial distribution to analyze either shrna or sgrna based screening data databases biogrid orcs https orcs thebiogrid org webserver an open repository of crispr screens compiled through comprehensive curation efforts paper nucleic acids research 2019 https www ncbi nlm nih gov pubmed 30476227 crisp view http crispview weililab org webserver a comprehensive database of published crispr screening dataset datasets are uniformly processed using an integrated mageck vispr pipeline with quality control qc evaluations users can browse search and visualize cell lines conditions genes and associated sgrnas across datasets depmap https depmap org portal webserver a comprehensive reference map of the cancer dependency map project at the broad institute paper cell 2017 https www ncbi nlm nih gov pubmed 28753430 genomecrispr http genomecrispr dkfz de webserver a database for high throughput crispr cas9 screening experiments pickles https hartlab shinyapps io pickles webserver a database of pooled in vitro crispr knockout library essentiality screens project drive https oncologynibr shinyapps io drive webserver a compendium of cancer dependencies and synthetic lethal relationships uncovered by large scale deep rnai screening paper cell 2017 https www ncbi nlm nih gov pubmed 28753431 project score sanger depmap https score depmap sanger ac uk webserver genome scale crispr cas9 screens in 324 human cancer cell lines from 30 cancer types paper nature 2019 https www ncbi nlm nih gov pubmed 30971826 the genome targeting catalogue https www ebi ac uk gtc webserver a public repository of experiments using crispr cas enzymes manually curated from published literature encompassing both targeted and genome wide studies in 47 species crispr identification and diversity crass https ctskennerton github io crass software a program that searches through raw metagenomic reads for crispr crf http bioinfolab miamioh edu crf home php webserver software filter the invalid crisprs crisprcasdb https crisprcas i2bc paris saclay fr webserver database a database containing crispr arrays and cas genes from complete genome sequences and tools to download and query lists of repeats and spacers crisprcasfinder https crisprcas i2bc paris saclay fr software webserver a program enables the easy detection of crisprs and cas genes in user submitted sequence data crisprcastyper https github com davidliwei awesome crispr webserver detect crispr cas genes and arrays and predict the subtype based on both cas genes and crispr repeat sequence crisprcompar https crispr i2bc paris saclay fr crisprcompar webserver compare the crisprs of two or several genomes crisprdetect http crispr otago ac nz crisprdetect webserver software a tool to predict and analyze crispr arrays crisprdirection http bioanalysis otago ac nz crisprdirection software predict crispr orientation crisprdisco https github com crisprlab crisprdisco software identifying crispr repeat spacer arrays and cas genes in genome data sets crisprfinder https crispr i2bc paris saclay fr webserver a web tool to identify clustered regularly interspaced short palindromic repeats crisprleader http www bioinf uni freiburg de software crisprleader software a tool predicts crispr arrays in the correct orientation and annotates the crispr leader boundaries crisprmap http rna informatik uni freiburg de crisprmap input jsp webserver crisprmap provides a quick and detailed insight into repeat conservation and diversity of both bacterial and archaeal systems crisprone https omics informatics indiana edu crisprone webserver database a database provides annotation of crispr cas systems including crispr arrays of repeat spacer units and cas genes and type of predicted system s and anti repeats crisprstand http rna informatik uni freiburg de crisprmap input jsp webserver predict repeat orientations to determine the crrna encoding strand at crispr loci crt http www room220 com crt software crispr recognition tool crt a tool for automatic detection of clustered regularly interspaced palindromic repeats metacrast https github com molleraj metacrast software a tool detects crispr arrays in raw unassembled metagenomes metacrt https omics informatics indiana edu crispr software a software for de novo prediction of crispr minced https github com ctskennerton minced java a program to find clustered regularly interspaced short palindromic repeats crisprs in full genomes or environmental datasets such as assembled contigs from metagenomes patscan https www bioinformatics org wiki patscan home page webserver a pattern matcher which searches protein or nucleotide dna rna trna etc sequence archives for instances of a pattern which you input piler cr https www drive5 com pilercr software a public domain software for finding crispr repeats reviews 2018 doench am i ready for crispr a user s guide to genetic screens https www ncbi nlm nih gov pubmed 29199283 2019 esposito et al hacking the cancer genome profiling therapeutically actionable long non coding rnas using crispr cas9 screening https www cell com cancer cell fulltext s1535 6108 19 30053 4 | server |
|
cloud-career-playbook | cloud career playbook there s so much opportunity when it comes to working in cloud but it can be confusing to get started because there is so much to learn my goal with this project is to give you a map that will keep you on course as you build up your career in the cloud in this playbook i ll be sharing text video and audio resources for each of the core career domains listed in the table below you can work through each domain in order but feel free to jump around topic link cloud platform foundations start now https github com mikepfeiffer cloud career playbook tree main domains 1 cloud platform foundations command line essentials start now https github com mikepfeiffer cloud career playbook tree main domains 2 command line essentials sysadmin fundamentals start now https github com mikepfeiffer cloud career playbook tree main domains 3 sysadmin fundamentals distributed version control start now https github com mikepfeiffer cloud career playbook tree main domains 4 distributed version control infrastructure as code start now https github com mikepfeiffer cloud career playbook tree main domains 5 infrastructure as code ci cd pipeline architecture start now https github com mikepfeiffer cloud career playbook tree main domains 6 ci cd pipelines programming software development start now https github com mikepfeiffer cloud career playbook tree main domains 7 programming development containers orchestration start now https github com mikepfeiffer cloud career playbook tree main domains 8 containers orchestration monitoring observability start now https github com mikepfeiffer cloud career playbook tree main domains 9 monitoring observability serverless computing start now https github com mikepfeiffer cloud career playbook tree main domains 10 serverless computing artificial intelligence machine learning start now https github com mikepfeiffer cloud career playbook tree main domains 11 artificial intellegence machine learning culture and core values start now https github com mikepfeiffer cloud career playbook tree main domains 12 culture core values resume linkedin optimization start now https github com mikepfeiffer cloud career playbook tree main domains 13 resume linkedin optimization interview prep salary negotiation start now https github com mikepfeiffer cloud career playbook tree main domains 14 interview prep i ll be actively updating this project on a daily basis until complete eta is december 2021 | cloud |
|
OOIT | ooit aplikacija koja omogu ava 1 dodavanje objekata klase rectangle na stek 2 izuzimanje objekata klase rectangle sa steka 3 sortiranje sadr aja liste saglasno povr ini pravougaonika 4 crtanje selekciju modifikaciju i brisanje dvodimenzionalnih grafi kih oblika ta ke linije pravougaonika kruga i kruga sa rupom | java javaswing | server |
alphabiz | alphabiz alphabiz fully decentralized media platform and blockchain based marketplace https alpha biz read this document docs en us readme md for building your own brand of alphabiz ci ct cd https github com tanshuai alphabiz actions workflows release nightly yml badge svg https github com tanshuai alphabiz actions workflows release nightly yml codeql https github com tanshuai alphabiz actions workflows codeql analysis yml badge svg https github com tanshuai alphabiz actions workflows codeql analysis yml backup weekly https github com tanshuai alphabiz actions workflows weekly yml badge svg https github com tanshuai alphabiz actions workflows weekly yml marketplace built on credit system with decentralized technologies streaming media with p2p technologies media player supports mainstream formats subtitles app img dark https user images githubusercontent com 92558550 211519797 4e766719 f6cf 420e 9e04 0057150c5c3a jpg alphabiz is an open source desktop mobile framework sdk to build web 3 apps supported operating systems windows 7 10 11 macos 11 ubuntu linux 20 04 lts installation download the official demo installer for your operating system https alpha biz download nightly releases want to experiment with the latest features and get fixes before everyone else install the nightly channel to get access to early builds of alphabiz https github com tanshuai alphabiz releases q nightly | decentralized-applications video-player media-player downloader blockchain electron dapp web3 decentralized decentralization quasar | blockchain |
VideoLLM | videollm preprint videollm modeling video sequence with large language models https arxiv org abs 2305 13292 with the exponential growth of video data there is an urgent need for automated technology to analyze and comprehend video content however existing video understanding models are often task specific and lack a comprehensive capability of handling diverse tasks the success of large language models llms like gpt has demonstrated their impressive abilities in sequence causal reasoning building upon this insight we propose a novel framework called texttt textbf videollm that leverages the sequence reasoning capabilities of pre trained llms from natural language processing nlp for video sequence understanding texttt textbf videollm incorporates a carefully designed modality encoder and semantic translator which convert inputs from various modalities into a unified token sequence this token sequence is then fed into a decoder only llm subsequently with the aid of a simple task head our texttt textbf videollm yields an effective unified framework for different kinds of video understanding tasks to evaluate the efficacy of texttt textbf videollm we conduct extensive experiments using multiple llms and fine tuning methods we evaluate our texttt textbf videollm on eight tasks sourced from four different datasets the experimental results demonstrate that the understanding and reasoning capabilities of llms can be effectively transferred to video understanding tasks current status computational resources are constrained due to other work in progress and i m too busy so open source still takes time schedule release code and models overview intro white cut https github com cg1177 videollm assets 95628472 5bcc0dbc 254d 4bf9 b884 b7034a6e0286 license this project is released under the apache 2 0 license license citation if you find this project useful in your research please consider cite bibtex misc 2023videollm title videollm modeling video sequence with large language models author guo chen yin dong zheng jiahao wang jilan xu yifei huang junting pan yi wang yali wang yu qiao tong lu and limin wang howpublished url https arxiv org abs 2305 13292 year 2023 | ai |
|
Cloud-Cheatsheets | cloud cheatsheets notes on engineering on the cloud | cloud |
|
google-cloud-iot-arduino | google cloud iot jwt this is an example of how to generate json web token jwt credentials for connecting to google cloud iot core this contains two parts a library to make a jwt json web token which is used to authenticate with google cloud iot and arduino sketches that demonstrate how to connect to google cloud iot using the available mqtt bridge this example is not an officially supported google product does not have a sla slo and should not be used in production supported hardware targets currently we support the following hardware targets genuino mkr1000 and wifi1010 espressif esp32 espressif esp8266 dependencies some examples use specific dependencies that need to be installed via the arduino library manager lwmqtt https github com 256dpi arduino mqtt quickstart first install the library using the arduino library manager open arduino and select the sketch include library library manager menu item in the filter box search for google cloud iot jwt install the library next enable the cloud iot core api by opening the google cloud iot core console https console cloud google com iot next create your device registry as described in the quickstart https cloud google com iot docs quickstart or by using the google cloud sdk https cloud google com sdk if you re using the sdk the following commands will setup pubsub and cloud iot core for testing on your arduino device create the pubsub topic and subscription gcloud pubsub topics create atest pub project your project id gcloud pubsub subscriptions create atest sub topic atest pub create the cloud iot core registry gcloud iot registries create atest registry region us central1 event notification config topic atest pub generate an eliptic curve ec private public key pair openssl ecparam genkey name prime256v1 noout out ec private pem openssl ec in ec private pem pubout out ec public pem register the device using the keys you generated gcloud iot devices create atest dev region us central1 registry atest registry public key path ec public pem type es256 at this point your registry is created and your device has been added to the registry so you re ready to connect it select one of the available samples from the file examples google cloud iot core jwt menu and find the configuration section ciotc config h in newer examples find and replace the following values first project id get from console or gcloud config list location default is us central1 registry id created in previous steps e g atest reg device id created in previous steps e g atest device you will also need to extract your private key using the following command openssl ec in ec private pem noout text and will need to copy the output for the private key bytes into the private key string in your arduino project when you run the sample the device will connect and receive configuration from cloud iot core when you change the configuration in the cloud iot core console that configuration will be reflrected on the device before the examples will work you will also need to configure the root certificate as described in the configuration headers after you have published telemetry data you can read it from the pubsub topic using the google cloud sdk https cloud google com sdk with the sdk installed run the following command to create a gcloud pubsub subscriptions create your subscription name topic your iot pubsub topic then read the telemetry messages gcloud pubsub subscriptions pull limit 500 auto ack your subscription name notes on the certificate the root certificate from google https pki goog roots pem is used to verify communication to google although unlikely it s possible for the certificate to expire or rotate requiring you to update it if you re using the esp8266 project you need to either install the certificate to spiffs using the spiffs upload utility https github com esp8266 arduino esp8266fs plugin or will need to uncomment the certificate bytes in the sample note that the spiffs utility simply uploads the files stored in the data subfolder the sample assumes the file is called ca crt esp8266 data ca crt to convert the certificate to the der format the following command shuold be used wget pki goog roots pem openssl x509 outform der in roots pem out ca crt if you re using the esp32 you can paste the certificate bytes don t forget the n characters into the sample you can use any of the root certificate bytes for the certificates with google trust services gts as the certificate authority ca this is easy to get using curl e g curl pki goog roots pem if you re using genuino boards like the mkr1000 you will need to add ssl certificates to your board as described on hackster io https www hackster io arichetta add ssl certificates to mkr1000 93c89d the mqtt server address is mqtt googleapis com and the port is either 8883 for most cases or 443 in case your device is running in an environment where port 8883 is blocked for long term support the server is mqtt 2030 ltsapis goog in future versions of this library the mqtt domain and certificates will be changed for long term support lts to mqtt lts domain mqtt 2030 ltsapis goog primary cert https pki goog gtsltsr gtsltsr crt https pki goog gtsltsr gtsltsr crt backup cert https pki goog gsr4 gsr4 crt https pki goog gsr4 gsr4 crt the following examples show how to regenerate the certificates create registry keys openssl genpkey algorithm rsa out ca private registry pem pkeyopt rsa keygen bits 2048 sudo openssl req x509 new nodes key ca private registry pem sha256 out ca cert registry pem subj cn unused gcloud iot registries credentials create path ca cert registry pem project secret registry secret region us central1 create elipitic device keys openssl ecparam genkey name prime256v1 noout out ec private device1 pem sudo openssl req new sha256 key ec private device1 pem out ec cert device1 csr subj cn unused device sudo openssl x509 req in ec cert device1 csr ca ca cert registry pem cakey ca private registry pem cacreateserial sha256 out ec cert device1 pem gcloud iot devices create device1 region us central1 registry secret public key path ec cert device1 pem type es256 x509 pem print info to copy to code openssl ec in ec private device1 pem noout text echo copy private part of above to esp8266 code for more information access google cloud iot core from arduino https medium com gguuss accessing cloud iot core from arduino 838c2138cf2b building google cloud connected sensors https medium com gguuss building google cloud connected sensors 2d46a1c58012 arduino and google cloud iot https medium com gguuss arduino and google cloud iot e2082e0ac000 experimenting with robots and cloud iot core https medium com gguuss experimenting with robots and cloud iot core 790ee17345ef arduino hexspider revisited https medium com gguuss hexspider robot revisited d78ff7ce9b6c tbd faq https github com googlecloudplatform google cloud iot arduino issues 92 as featured in google cloud i o 2018 https www youtube com watch v 7kpe44txqak t 1701s demos you can see the arduino client library in action in the cloud iot demo from google i o 2018 https www youtube com watch v 7kpe44txqak t 28m error codes debugging and troubleshooting the error codes for the lwmqtt library are listed in this header file https github com 256dpi arduino mqtt blob master src lwmqtt lwmqtt h l16 l29 if you re having trouble determining what s wrong it may be helpful to enable more verbose debugging in arduino by setting the debug level in the ide under tools core debug level verbose if you are using newer versions of the esp8266 sdk you need to set ssl support to all ssl cyphers and you may need to modify the memory settings in bearssl by modifying arduino cores esp8266 stackthunk cpp https github com esp8266 arduino issues 6811 a few things worth checking while troubleshooting is billing enabled for your project is the pubsub topic configured with your device registry valid is the jwt valid https jwt io are the values setup in ciotc config h appearing correctly in mqtt h known issues some private keys do not correctly encode to the base64 format that required for the device bridge if you ve tried everything else try regenerating your device credentials and registering your device again with gcloud iot devices create some users have encountered issues with certain versions of the community sdk for espressif if you ve tried everything else try using the sdk 2 4 2 license apache 2 0 see license license for details disclaimer this project is not an official google project it is not supported by google and google specifically disclaims all warranties as to its quality merchantability or fitness for a particular purpose | server |
|
altschool-3rd-sem-exam-project | altschool 3rd sem exam project cloud engineering third semester examination project | cloud |
|
escapism | escapism the graduation theses search system for students belonging to following intelligence information course department of integrated information technology ruby version 2 3 0 rails version 5 0 0 system dependencies about installation refer to wiki development environment construction https github com yaaaaashiki escapism wiki mysql 5 7 or higher java development kit 7 or higher python3 etc execution procedure 1 start up elasticsearh refer to wiki how to initialize and use elasticsearch https github com yaaaaashiki escapism wiki elasticsearch e3 81 ae e5 88 9d e6 9c 9f e8 a8 ad e5 ae 9a e3 81 a8 e4 bd bf e7 94 a8 e6 b3 95 2 install gems only when you execute this app for the first time or someone changed gemfile see a section described in below 3 create your database only when you execute this app for the first time or someone changed files in the db directory see a section described in below 4 start up this app execute the following command bundle exec rails s gems installation execute the following command if there is no bundler bash gem install bundler bundle install path vendor bundle database creation execute the following command bundle exec rails db create bundle exec rails db migrate reset bundle exec rails db seed fu tests with rspec create a database for test environment bundle exec rails db migrate reset rails env test execute our tests bundle exec rails spec be sure that these tests are all succeed when you do the following you change server side codes commit after updateing test codes tests with stylelint this app checks stylesheet syntax with stylelint run our tests when running this app s server we want you to create pull requests after you confirm the tests are all succeed using them execute the tests bundle exec rails server if puma s server is running all tests succeed | server |
|
nlcc-data | nlcc data contribution instructions first make sure you re in the main branch with git checkout main and update with git pull origin then make a branch with git checkout b name after preparing your prompt test following the example in smoke push with git push origin name go to the repo url and open a pr from pull requests tab you will see a report with the result did it pass responses and prompts after combining with context categories of prompts topic cheminf spectroscopy qm md bio genchem numerics other stats thermo vis eval code human special disabled special variables files can be accessed by the test scripts relative to the example yml file directory using the file dir variable for example from dipole import numpy as np import os coordinates np loadtxt os path join file dir water xyz usecols 1 2 3 papermill sh papermill f output yml human eval template ipynb test ipynb jupyter nbconvert to html no input test ipynb | ai |
|
kernel | puppy rtos puppy rtos posix posix roadmap m0 doing target stm32l4 gcc armclang m1 todo m2 todo apt install apt update apt remove wget q https github com rt thread toolchains ci releases download v1 3 gcc arm none eabi 10 2020 q4 major x86 64 linux tar bz2 sudo tar xjf gcc arm none eabi 10 2020 q4 major x86 64 linux tar bz2 c opt opt gcc arm none eabi 10 2020 q4 major bin arm none eabi gcc version xmake f p cross sdk opt riscv64 unknown elf toolchain 10 2 0 2020 12 8 x86 64 linux ubuntu14 build board qemu virt riscv m debug xmake qemu system riscv32 exe nographic machine virt net none chardev stdio id con mux on serial chardev con mon chardev con mode readline bios none smp 4 kernel puppy bin build time aug 18 2023 08 44 26 powered dy puppy rtos 0 i drv board 1 irq i am core 1 0 i drv board 3 irq i am core 3 0 i drv board 2 irq i am core 2 puppy | arm riscv rtos smp | os |
lingo3d | what is lingo3d lingo3d is a react vue 3d game development framework that ships with a complete visual editor a href https www lingo3d com img src https github com lingo3d lingo3d readme blob main image bg top jpg a npm package https img shields io badge npm react 1 3 6 blue https www npmjs com package lingo3d react npm package https img shields io badge npm 1 11 3 green https www npmjs com package lingo3d npm package https img shields io badge npm vue 1 3 6 yellow https www npmjs com package lingo3d vue npm package https img shields io badge npm vanilla 1 3 4 red https www npmjs com package lingo3d vanilla examples a href https www lingo3d com examples img src https github com lingo3d lingo3d readme blob main image examples jpg a installation yarn install bash yarn add lingo3d react yarn add lingo3d vue npm install bash npm install lingo3d react npm install lingo3d vue documentation documentation https www lingo3d com documentation | front_end |
|
web3.py | web3 py documentation status https readthedocs org projects web3py badge version latest https web3py readthedocs io en latest badge latest discord https img shields io discord 809793915578089484 color blue label chat logo discord logocolor white https discord gg ghryrvpb84 build status https circleci com gh ethereum web3 py svg style shield https circleci com gh ethereum web3 py a python library for interacting with ethereum python 3 7 2 support quickstart get started in 5 minutes https web3py readthedocs io en latest quickstart html or take a tour https web3py readthedocs io en latest overview html of the library documentation for additional guides examples and apis see the documentation https web3py readthedocs io en latest want to help want to file a bug contribute some code or improve documentation excellent read up on our guidelines for contributing https web3py readthedocs io en latest contributing html then check out issues that are labeled good first issue https github com ethereum web3 py issues q is 3aissue is 3aopen label 3a 22good first issue 22 questions on implementation or usage join the conversation on discord https discord gg ghryrvpb84 | blockchain |
|
blockchain | blockchain token sol coin sol ticket sol | blockchain |
|
MLKits | ml kits starter projects for learning about machine learning downloading there are two ways to download this repository either as a zip or by using git zip download to download this project as a zip file find the green clone or download button on the top right hand side click that button then download this project as a zip file once downloaded extract the zip file to your local computer git download to download this project using git run the following command at your terminal git clone https github com stephengrider mlkits git | ai |
|
blockchain | dmarket cryptocurrency tutorial dmarket blockchain test version uses exonum https github com exonum exonum framework v0 2 prerequisites to run this example you need to install rust https www rust lang org en us compiler and third party libraries http exonum com doc get started install build run blockchain node to build and run a single node use sh clone the repository with blockchain node git clone git github com suntechsoft dmarket blockchain git cd dmarket blockchain build and run cargo run now the node is listening http requests on localhost 8000 sample transactions read requests when node is launched you can use transaction examples to check that it works properly a simplest way to do this is launching the test sh examples test sh script in the examples directory this script creates two wallets performs a transfer among them and then verifies that the wallet status was correctly updated alternatively you may use command line utilities such as curl to manually post transactions on the transaction endpoint http 127 0 0 1 8000 api services cryptocurrency v1 wallets transaction license dmarket cryptocurrency is licensed under the mit license see license license for details | blockchain |
|
blockchainbay | the blockchain bay the blockchainbay is a torrent distribution tool hosted on a evm compatible blockchain this is a tool similar to pirate bay but using a evm compatible blockchain ethereum polygon bsc etc as a database doesn t require any funds to search and download torrents only to upload a new torrent as write operations modify the database screenshot png https github com ortegaalfredo blockchainbay blob main screenshot png raw true installation the easiest way is to use pip in this way pip install blockchainbay optionally install transmission cli to download magnet torrents sudo apt install transmission cli or the equivalent in your os transmission cli need to be in the path this executable can be configured in the config ini file the blockchainbay tool by default only reads from the blockchain and this operation don t require any balance in the account so it can be empty you don t need to setup any account as one is provided by default those instructions are for using the polygon network with the ankr gateway but you can use any network ethereum optimism etc with any web3 gateway like infura by default blockchain bay uses a contract deployed in the polygon network and uses the ankr web3 gateway searching torrents execute the command line tool blockchainbay py at start the utility will sync with the database on the blockchain downloading all torrents locally this can take some minute it s much faster to search in a local database however you can also search for torrents remotely using the remote command issuing help will show you the available commands demo video demo video http img youtube com vi g0w4zct rle 0 jpg https www youtube com watch v g0w4zct rle blockchainbay demo commands available commands quit exit to shell getid n show the torrent n in the remote database remote str search for str in the remote database sync downloads all torrents to the cache file link n obtain link from search result download n launch bittorrent client on search result vote n vote torrent up warning consumes balance from account benchmark perform simple query benchmark help print help string search for string in the local torrent cache to search for a torrent just enter a substring enter search term book 1 the samurai sword a handbook size 9711356 bytes seeders 1 leechers 0 to display the magent link use the link index command enter search term link 1 the samurai sword a handbook size 9711356 bytes seeders 1 leechers 0 magnet xt urn btih 000329661633b3a4f5cb82dc6aed6aca350b9602 dn the 20samurai 20sword 20a 20handbook tr udp tracker coppersurfer tk 6969 announce tr udp tracker open internet nl 6969 announce tr udp tracker leechers paradise org 6969 announce tr udp tracker internetwarriors net 1337 announce tr udp tracker opentrackr org 1337 announce tr udp 9 rarbg to 2710 announce tr udp 9 rarbg me 2710 announce tr http tracker3 itzmx com 6961 announce tr http tracker1 itzmx com 8080 announce tr udp exodus desync com 6969 announce tr udp explodie org 6969 announce tr udp ipv4 tracker harry lu 80 announce tr udp denis stalker upeer me 6969 announce tr udp tracker torrent eu org 451 announce tr udp tracker tiny vps com 6969 announce tr udp thetracker org 80 announce tr udp open demonii si 1337 announce tr udp tracker4 itzmx com 2710 announce tr udp tracker cyberia is 6969 announce tr udp retracker netbynet ru 2710 announce if you have the transmission cli bittorrent client installed you can directly download the torrent using download 1 web interface starting with 1 5 0 you can use a web interface by using the web argument blockchainbay py web i starting web server http localhost 8888 then you can point your browser to http localhost 8888 and access the web interface similar to the one at the original thepiratebay org site screenshot web png https github com ortegaalfredo blockchainbay blob main screenshot web png raw true uploading torrents you need to configure an account in blockchainbay but with funds on it just to pay for the transactions no money goes to any person or entity never put more funds than strictly necessary for example at this date july 2022 uploading 1000 torrents consumes about 5 matic in the polygon network this is about 2 usd for every 1000 torrents uploaded other networks like ethereum might be hundreds of times more expensive then you need a file in this format 2dd9e39e18a6409c6344e30ffb2f38ea12b9f69b ubuntu 9 10 server i386 iso 671686656 1256817840 1 0 1 1651169962 2ddb7840d75aac5330a2d1e902d2569f716726ea python crash course 2nd edition 6282986 1564965900 31 0 253 1651169962 fields are separated as following infohash name size bytes created unix seeders leechers completed scraped date you can assign any value to the seeders and leechers fields as they are only a copy of the torrent values when scrapped note this is the file format used in the torrents txt file from https gitea com heretic torrents csv server once you have written your torrents in a file name i e torrentuploads txt execute blockchainbay py upload torrentuploads txt and if correctly configured the tool should start uploading your torrents to the smartcontract database specified in config ini custom smart contract you can compile and deploy your own smart contract database for this issue this command from the root dir you will need the eth brownie framework installed using pip3 or pipx pip3 install eth brownie to compile the smart contract brownie compile and to deploy the smart contract modify your account info editiny deploy py and run it brownie run scripts deploy py deploying a smart contract will require funds in your account the price will depend on the blockchain that you configured once your smartcontract is deployed you must copy his address to the config ini configuration and blockchainbay will start using your custom smart contract | bittorrent blockchain torrent | blockchain |
Image-Filter-Nodejs_Service | image filtering service image filtering service is a node express application which runs a simple script to process images developed alongside the udacity cloud engineering nanodegree the code base of the original project is split into three parts in udacity nano degree 1 the simple frontend https github com udacity cloud developer tree master course 02 exercises udacity c2 frontend a basic ionic client web application which consumes the restapi backend covered in the course 2 the restapi backend https github com udacity cloud developer tree master course 02 exercises udacity c2 restapi a node express server which can be deployed to a cloud service covered in the course 3 the image filtering microservice https github com amr omar ahmed image filter nodejs service the final project for the course it is a node express application which runs a simple script to process images setup node dev environment you ll need to create a new node server open a new terminal within the project directory and run 1 initialize a new project npm i 2 run the development server with npm run dev deploying your system 1 build the project to www folder npm run build 2 init configuration of elasticbeanstalk eb init 3 create new aws application eb create 4 use eb deploy to push changes 5 configure aws application to add environment variables if exist consuming service just make a get request to host filteredimage image url image url and provide image url as a query parameter you will get response with the filtered image with status code 200 example make a get req for http udacity image filter service dev us east 1 elasticbeanstalk com filteredimage image url https fakeimg pl 1000 you will have a response with a filtered image | cloud |
|
HSDES-LAB01-PULP_Embedded_Programming | hsdes lab1 basics of embedded programming on pulp the target device for the lab sessions is the multi core pulp https github com pulp platform pulp platform the pulp virtual platform simulator gvsoc which is included within the pulp sdk https github com pulp platform pulp sdk will be used during the class to install the gvsoc simulator and setup your environment you can follow one of the two options described below gvsoc simulator install guide option 1 suggested download the pulp virtual machine the virtual machine including a pre installed pulp sdk and virtual platform simulator can be found here link https github com pulp platform pulp sdk 5gb the machine can be used in virtualbox vmware instructions below or other hosts not tested you are on your own if you want to use virtualbox 1 download pulp box 2021 dory ova from this onedrive link https liveunibo my sharepoint com u g personal alessio burrello unibo it eydij6qsmkfbp7pojx5eqawbg2fhh59c9fs9a4eordd9ew e f8bj0o 8 1 gb the link works with unibo accounts 3 install and open virtualbox https www virtualbox org 4 go to file import appliance 5 select pulp box 2021 dory ova as the appliance to import 6 if needed change the destination folder then click on import 7 in the main virtualbox window click on the new virtual machine then on start if you want to use vmware workstation player 16 1 download pulp box 2021 dory ova from this onedrive link 5 5 gb 2 install and open vmware workstation player 16 https www vmware com it products workstation player workstation player evaluation html notice that player is the free version of wmware while pro must be paid 3 go to player file open 4 select pulp box 2021 dory ova as the appliance to import 5 if needed change the destination folder then click on import 6 if wmware gets you a warning force the import of the vm image provided 7 in the main wmware window click on the new virtual machine then on play virtual machine the username in the virtual machine is pulp user while the password is pulp check the readme file on the desktop to make the sdk and gvsoc available in a newly opened shell use the following command shell source pulp sourceme sh option 2 alternative install the pulp sdk on your linux machine if you prefer to use your own linux machine you can follow the instructions here https github com pulp platform pulp sdk getting started which have been tested on a fresh ubuntu 18 04 bionic beaver 64 bit machine beware that if you prefer to use your own machine you may encounter issues for which we cannot easily support you especially if your distro is different from ubuntu 18 04 64 bit the main steps concern 1 install the compiler a precompiled version can be taken from here https github com pulp platform pulp riscv gnu toolchain releases tag v1 0 16 2 export the risc v compiler path shell export pulp riscv gcc toolchain install dir 3 clone and build the pulp sdk shell git clone https github com pulp platform pulp sdk git cd pulp sdk source configs pulp open sh make build test your gvsoc installation after completing the gvsoc setup you can download some example code in your preferred working directory and run the helloworld on the pulp platform shell cd your work directory git clone https github com greenwaves technologies pmsis tests git cd pmsis tests quick hello make clean all run if you see an hello from pulp your setup is fine additional information source the pulp sdk every time you open a new shell to run example code on the pulp virtual plaform you must export the risc v compiler path and source the platorm configurafion file every time a shell is opened if you are using the pulp virtual machine we prepared a bash script that does this for you for each new shell all you need to do is running shell source pulp sourceme sh if you installed the vm on your own you will not find the sourceme sh file you must run the following commands manually each time you open a new shell shell export pulp riscv gcc toolchain install dir source configs pulp open sh you can consider to prepare a bash script equivalent to the sourceme sh that you will use to automatically run these commands | os |
|
mobile_courses | mobile courses mobile development courses in peter the great st petersburg polytechnic university moved to organization https github com spbstu mobile development courses ios | front_end |
|
ECE4076 | ece4076 interactive class notebooks for ece4076 computer vision weeks 1 6 ece4076 is a computer vision unit at monash university covering both classical computer vision and modern deep learning methods this repository houses interactive notebooks for weeks 1 6 of this unit these notebooks are in class activities used alongside pre recorded lectures covering more detailed material and paired with laboratory sessions where students implement related concepts week 1 image handling and basic manipulation high dimensional signals notebook https github com mgb45 ece4076 blob main week 201 20 20image 20handling 20and 20basic 20operations ipynb week 2 image filtering difference of gaussians keypoint detection patch matching using ssd notebook https github com mgb45 ece4076 blob main week 202 20 20image 20filtering 20and 20patch 20matching ipynb week 3 invariances and image transformations assymetric feature matching notebook https github com mgb45 ece4076 blob main week 203 20 20invariances 20and 20trees ipynb week 4 camera models and homography estimation using ransac notebook https github com mgb45 ece4076 blob main week 204 20 20camera 20models 20and 20homographies ipynb week 5 camera projection and vanishing points and lines notebook https github com mgb45 ece4076 blob main week 205 20 20vanishing 20points 20and 20lines ipynb week 6 multiple view geometry space carving notebook https github com mgb45 ece4076 blob main week 206 20 20stereo 20vision 20and 20space 20carving ipynb | ai |
|
Blockchain | blockchain simple blockchain in c | blockchain dotnet-core csharp | blockchain |
13E114SAB | 13e114sab project for 13e114sab database software tools course at school of electrical engineering university of belgrade | server |
|
jobhere | jobhere logo here here here less node vue mysql php logo index | vuejs shell javascript | server |
MODE | div align center h3 an examination of the compositionality of large generative vision language models h3 teli ma https teleema github io sup 1 sup rong li https rongli tech sup 1 sup junwei liang https junweiliang me index html sup 1 2 sup sup 1 sup ai thrust hkust gz https www hkust gz edu cn academics hubs and thrust areas information hub artificial intelligence sup 2 sup cse hkust https cse hkust edu hk paper https arxiv org pdf 2308 10509 pdf homepage https teleema github io projects mode mode html div abstract with the success of large language models llms a surge of generative vision language models gvlms have been constructed via multimodal instruction tuning the tuning recipe substantially deviates from the common contrastive vision language learning however the performance of gvlms in multimodal compositional reasoning remains largely unexplored as existing evaluation metrics and benchmarks focus predominantly on assessing contrastive models like clip in this paper we examine the potential evaluation metrics to assess the gvlms and hypothesize generative score methods are suitable for evaluating compositionality in addition current benchmarks tend to prioritize syntactic correctness over semantics the presence of morphological bias in these benchmarks can be exploited by gvlms leading to ineffective evaluations to combat this we define a morphobias score to quantify the morphological bias and propose a novel llm based strategy to calibrate the bias moreover a challenging task is added to evaluate the robustness of gvlms against inherent inclination toward syntactic correctness we include the calibrated dataset and the task into a new benchmark namely morphologicall de biased benchmark mode our study provides the first unbiased benchmark for the compositionality of gvlms facilitating future research in this direction we will release our code and datasets introduction provide an elaborated analysis of potential evaluation protocols for measuring image text coherence when generative vision language models perform compositional reasoning tenser images fig1 png we uncover that generative vlms sometimes prefer syntactical correctness rather than content related correctness tenser images fig2 png we identify the existence of morphological bias in current multimodal compositional reasoning benchmarks and we quantitatively assess the bias with a defined morphobias score div align center img src images fig3 png width 300 height 300 div based on the morphobias score we propose a morphologicall de biased benchmark mode based on current benchmarks for more robust multimodal compositionality evaluation tenser images fig4 png getting started code coming soon license mode is released under the mit license https github com teleema mode blob main license citation bash article ma2023examination title an examination of the compositionality of large generative vision language models author ma teli and li rong and liang junwei journal arxiv preprint arxiv 2308 10509 year 2023 | ai |
|
article-tagging | build status https travis ci org chicago justice project article tagging svg branch master https travis ci org chicago justice project article tagging tagnews tagnews is a python library that can automatically categorize the text from news articles with type of crime tags e g homicide arson gun violence etc automatically extract the locations discussed in the news article text e g 55th and woodlawn and 1700 block of s halsted retrieve the latitude longitude pairs for said locations using an instance of the pelias geocoder hosted by cjp get the community areas those lat long pairs belong to using a shape file downloaded from the city data portal parsed by the shapely python library sound interesting there s example usage below you can find the source code on github https github com chicago justice project article tagging installation you can install tagnews with pip pip install tagnews note you will need to install some nltk http www nltk org packages as well python import nltk nltk download punkt nltk download wordnet beware tagnews requires python 3 5 example the main classes are tagnews crimetags and tagnews geocoder python import tagnews crimetags tagnews crimetags article text the homicide occurred at the 1700 block of s halsted ave it happened just after midnight another person was killed at the intersection of 55th and woodlawn where a lone gunman crimetags tagtext proba article text homi 0 739159 viol 0 146943 gunv 0 134798 crimetags tagtext article text prob thresh 0 5 homi geoextractor tagnews geocoder prob out geoextractor extract geostring probs article text list zip prob out at 0 0044685714 the 0 005466637 1700 0 7173856 block 0 81395197 of 0 82227415 s 0 7940061 halsted 0 70529455 ave 0 60538065 geostrings geoextractor extract geostrings article text prob thresh 0 5 geostrings 1700 block of s halsted ave 55th and woodlawn coords scores geoextractor lat longs from geostring lists geostrings coords lat long 0 41 859021 87 646934 1 41 794816 87 597422 scores confidence in the lat longs as returned by pelias higher is better array 0 878 1 geoextractor community area from coords coords lower west side hyde park limitations this project uses machine learning to automate data cleaning preparation tasks that would be cost and time prohibitive to perform using people like all machine learning projects the results are not perfect and in some cases may look just plain bad we strived to build the best models possible but perfect accuracy is rarely possible if you have thoughts on how to do better please consider reporting an issue https github com chicago justice project article tagging issues new or better yet contributing https github com chicago justice project article tagging blob master contributing md how can i contribute great question please see contributing md https github com chicago justice project article tagging blob master contributing md problems if you have problems please report an issue https github com chicago justice project article tagging issues new anything that is behaving unexpectedly is an issue and should be reported if you are getting bad or unexpected results that is also an issue and should be reported we may not be able to do anything about it but more data rarely degrades performance background we want to compare the amount of different types of crimes are reported in certain areas vs the actual occurrence amount in those areas in essence are some crimes under represented in certain areas but over represented in others this is the main question driving the analysis this question came from the chicago justice project http chicagojustice org they have been interested in answering this question for quite a while and have been collecting the data necessary to have a data backed answer their efforts include 1 scraping rss feeds of articles written by chicago area news outlets for several years allowing them to collect almost half a million articles 2 organizing an amazing group of volunteers http chicagojustice org volunteer for cjp that have helped them tag these articles with crime categories like gun violence and drugs but also organizations such as cook county state s attorney s office illinois state police chicago police department and other miscellaneous categories such as lgbtq immigration 3 the web ui used to do this tagging was also recently updated to allow highlighting of geographic information resulting in several hundred articles with labeled location sub strings most of the code for those components can be found here https github com chicago justice project chicago justice a group actively working on this project meets every tuesday at chi hack night https chihacknight org see also chicago justice project http chicagojustice org source code of other cjp projects https github com chicago justice project including the database web scraping side of things https github com chicago justice project chicago justice what is chi hack night https chihacknight org about html | news-articles natural-language-processing python crime geocoding | ai |
COSC2196-assignment1 | introduction to information technology introduction to information technology | server |
|
service-my-wallet-v3 | blockchain wallet api v2 programmatically interface with your blockchain info wallet contents getting started getting started upgrading upgrading api documentation api documentation rpc api rpc installation installation troubleshooting troubleshooting usage usage development development deployment deployment getting started to use this api you will need to run small local service which be responsible for managing your blockchain info wallet your application interacts with this service locally via http api calls start by completing the following steps 1 follow the installation instructions installation 2 start the server blockchain wallet service start port 3000 3 reference the documentation api documentation and start interacting with your wallet programmatically note that blockchain wallet service is designed to be run locally on the same machine as your application and therefore will only accept connections from localhost if you modify this service to accept external connections be sure to add the appropriate firewall rules to prevent unauthorized use an api code is required for wallet creation and higher request limits for basic usage no api code is required request an api code here https blockchain info api api create code upgrading if you already have an application that uses blockchain info s wallet api https blockchain info api blockchain wallet api you will need to complete the steps in the getting started section above and then in your application code replace calls to blockchain info merchant with localhost port merchant api documentation view the original documentation https blockchain info api blockchain wallet api all endpoints present in the api documentation above are supported in blockchain wallet api v2 the differences between two are the consolidate addresses endpoint has been omitted all endpoints can be called with get or post and can only be accessed from localhost creating a new blockchain wallet endpoint api v2 create query parameters password main wallet password required api code blockchain info wallet api code required priv private key to import into wallet as first address optional label label to give to the first address generated in the wallet optional email email to associate with the newly created wallet optional sample response json guid 05f290be dbef 4636 a809 868893c51711 address 13r9dbgkwbp29jko11zhfi74yubsmxj4qy label main address make payment endpoint merchant guid payment query parameters to bitcoin address to send to required amount amount in satoshi to send required password main wallet password required second password second wallet password required only if second password is enabled api code blockchain info wallet api code optional from bitcoin address or account index to send from optional fee specify transaction fee in satoshi fee per byte specify transaction fee per byte in satoshi it is recommended that transaction fees are specified using the fee per byte parameter which will compute your final fee based on the size of the transaction you can also set a static fee using the fee parameter but doing so may result in a low fee per byte leading to longer confirmation times sample response json to 1a8jiwcwvpy7taopuksngueyhmzgyfzpiq from 17p49xuc2fw4fn53wjzqyam4apkqhnpeky amounts 200000 fee 1000 txid f322d01ad784e5deeb25464a5781c3b20971c1863679ca506e702e3e33c18e9c success true send to many endpoint merchant guid sendmany query parameters recipients a uri encoded json object http json org example html with bitcoin addresses as keys and the satoshi amounts as values required see example below password main wallet password required second password second wallet password required only if second password is enabled api code blockchain info wallet api code optional from bitcoin address or account index to send from optional fee specify transaction fee in satoshi fee per byte specify transaction fee per byte in satoshi it is recommended that transaction fees are specified using the fee per byte parameter which will compute your final fee based on the size of the transaction you can also set a static fee using the fee parameter but doing so may result in a low fee per byte leading to longer confirmation times uri encoding a json object in javascript js var myobject address1 10000 address2 50000 var myjsonstring json stringify myobject encodeuricomponent is a global function var myuriencodedjsonstring encodeuricomponent myjsonstring use myuriencodedjsonstring as the recipients parameter sample response json to 1a8jiwcwvpy7taopuksngueyhmzgyfzpiq 18fyqizzndtxdvo7g9ourogb4ufj86jjiy from 17p49xuc2fw4fn53wjzqyam4apkqhnpeky amounts 16000 5400030 fee 2000 txid f322d01ad784e5deeb25464a5781c3b20971c1863679ca506e702e3e33c18e9c success true fetch wallet balance endpoint merchant guid balance query parameters password main wallet password required api code blockchain info wallet api code required sample response json balance 10000 enable hd functionality endpoint merchant guid enablehd query parameters password main wallet password required api code blockchain info wallet api code optional this will upgrade a wallet to an hd hierarchical deterministic wallet which allows the use of accounts see bip32 https github com bitcoin bips blob master bip 0032 mediawiki for more information on hd wallets and accounts list active hd accounts endpoint merchant guid accounts query parameters password main wallet password required api code blockchain info wallet api code optional list hd xpubs endpoint merchant guid accounts xpubs query parameters password main wallet password required api code blockchain info wallet api code optional create new hd account endpoint merchant guid accounts create query parameters label label to assign to the newly created account optional password main wallet password required api code blockchain info wallet api code optional get single hd account endpoint merchant guid accounts xpub or index query parameters password main wallet password required api code blockchain info wallet api code optional get hd account receiving address endpoint merchant guid accounts xpub or index receiveaddress query parameters password main wallet password required api code blockchain info wallet api code optional check hd account balance endpoint merchant guid accounts xpub or index balance query parameters password main wallet password required api code blockchain info wallet api code optional archive hd account endpoint merchant guid accounts xpub or index archive query parameters password main wallet password required api code blockchain info wallet api code optional unarchive hd account endpoint merchant guid accounts xpub or index unarchive query parameters password main wallet password required api code blockchain info wallet api code optional list addresses deprecated use the hd api instead endpoint merchant guid list query parameters password main wallet password required api code blockchain info wallet api code optional sample response json addresses balance 79434360 address 1a8jiwcwvpy7taopuksngueyhmzgyfzpiq label my wallet total received 453300048335 balance 0 address 17p49xuc2fw4fn53wjzqyam4apkqhnpeky total received 0 fetch address balance deprecated use the hd api instead endpoint merchant guid address balance query parameters address address to fetch balance for required password main wallet password required api code blockchain info wallet api code optional note unlike the hosted api there is no option of a confirmations parameter for specifying minimum confirmations sample response json balance 129043 address 19r7jabpdtftkq9vjpvdzffxcjujfkesvz total received 53645423 generate address deprecated use the hd api instead endpoint merchant guid new address query parameters password main wallet password required label label to give to the address optional api code blockchain info wallet api code optional sample response json address 18fyqizzndtxdvo7g9ourogb4ufj86jjiy label my new address archive address deprecated use the hd api instead endpoint merchant guid archive address query parameters address address to archive required password main wallet password required api code blockchain info wallet api code optional sample response json archived 18fyqizzndtxdvo7g9ourogb4ufj86jjiy unarchive address deprecated use the hd api instead endpoint merchant guid unarchive address query parameters address address to unarchive required password main wallet password required api code blockchain info wallet api code optional sample response json active 18fyqizzndtxdvo7g9ourogb4ufj86jjiy rpc bitcoind compatible rpc api full documentation available here https blockchain info api json rpc api starting the rpc server blockchain wallet service start rpc options view additional options and instructions under usage usage differences from server api option rpcssl is not supported method listsinceblock is not supported param minconfimations is not supported for methods listreceivedbyaccount and listreceivedbyaddress param minimumconfirmations is not supported for method getbalance param confirmations is not supported for method listaccounts responses representing transactions have a different format installation nodejs https nodejs org and npm https npmjs com are required to install and use this api service installation sh npm install g blockchain wallet service for the best stability and performance make sure you are always using the latest version to check your version sh blockchain wallet service v to update to the latest version sh npm update g blockchain wallet service requires node 6 0 0 npm 3 0 0 if you have issues with the installation process see the troubleshooting section below troubleshooting installation errors if you are getting eaccess or permissions related errors it might be necessary to run the install as root using the sudo command if you are getting errors concerning node gyp or python install with npm install no optional startup errors if startup fails with usr bin env node no such file or directory it s possible node is not installed or was installed with a different name ubuntu for example installs node as nodejs if node was installed with a different name create a symlink to your node binary sudo ln s usr bin nodejs usr bin node or install node through node version manager https github com creationix nvm runtime errors if you are seeing a typeerror claiming that an object has no method compare it is because you are on a version of node older than 0 12 before the compare method was added to buffers try upgrading to at least node version 0 12 if you are getting wallet decryption errors despite having correct credentials then it s possible that you do not have java installed which is required by a dependency of the my wallet v3 module not having java installed during the npm install process can result in the inability to decrypt wallets download the jdk from here for mac https support apple com kb dl1572 or by running apt get install default jdk on debian based linux systems timeout errors if you are getting a timeout response additional authorization from your blockchain wallet may be required this can occur when using an unrecognized browser or ip address an email authorizing the api access attempt will be sent to the registered user that will require action in order to authorize future requests if this section did not help please open a github issue or visit our support center https blockchain zendesk com usage after installing the service the command blockchain wallet service will be available for use options h help output usage information v version output the version number c cwd use the current directory as the wallet service module development only commands start usage blockchain wallet service start options this command will start the service making blockchain wallet api v2 available on a specified port command options h help output usage information p port port number to run the server on defaults to 3000 b bind bind to a specific ip defaults to 127 0 0 1 note that binding to an ip other than this can lead to security vulnerabilities ssl key the path to your ssl key optional ssl cert the path to your ssl certificate optional to open the service to all incoming connections bind to 0 0 0 0 start rpc usage blockchain wallet service start rpc options this command will start the json rpc server options k key api code to use for server requests required option p rpcport rpc server port default 8000 b bind bind to a specific ip defaults to 127 0 0 1 note that binding to an ip other than this can lead to security vulnerabilities get an api code here https blockchain info api api create code examples to start the wallet api service on port 3000 sh blockchain wallet service start port 3000 development 1 clone this repo 2 run yarn ignore engines 3 run yarn start 4 dev server is now running on port 3000 if you are developing blockchain wallet client alongside this module it is useful to create a symlink to my wallet v3 sh ln s path to my wallet v3 node modules blockchain wallet client testing sh yarn test configuration optional parameters can be configured in a env file port port number for running dev server default 3000 bind ip address to bind the service to default 127 0 0 1 deployment if you want to use blockchain wallet service in your unix production server you just have to run sh nohup blockchain wallet service start port 3000 | blockchain-wallet bitcoin bitcoinrpc api wallet | blockchain |
Travlendar-plus | travlendar mirko mantovani and matteo marziali politecnico di milano a a 2017 2018 software engineering ii project image media polimi logo png introduction the main purpose of travlendar is allowing users to easily manage their daily meetings and commitments by providing some useful features such as finding the best means of transport to reach the appointment place and easily know the quickest route available to be punctual specifically we want to realize a product which is able to provide a calendar and the possibility to memorize events and appointments on it automatically compute and account for travel time between appointments to make sure that the user is not late for them automatically generate warnings to notify the user that at least two meetings are overlapping provide routes and travels according to user preferences about the preferred prohibited travel means and daily breaks set provide the possibility to add reminders for a meeting in order to prevent the users forgetting their appointments allow the users to modify appointment schedules automatically notify people involved in a specific meeting if the user is late and has selected this feature previously implemented functionalities the set of functionalities we actually implemented with respect to the ones we initially defined are f1 signup and login travlendar users must sign up the first time they intend to use the app further usages of the app will require a login to access all its functionalities logout which will invalidate the current session and take the user to the login page is also present f2 meeting creation this is the most important function of the app it allows to generate an event related to an appointment it requires the user to define all the details such as date time location f3 preferences set up an important feature of travlendar consists in allowing the user to filter out specific routes depending on some constraints about the travel or to set break dedicated time slots in particular the preferences we implemented are minimize carbon footprint option the result of flagging this option is that if possible there exist at least a route and the travel means constraints are satisfied only walking cycling and public transportations routes will be taken into consideration avoid tolls option which will only affect driving mode only routes without tolls will be considered avoid motorways option which will only affect driving mode only routes without highways motorways will be considered setting up a maximum walking distance and taking into consideration only the routes which satisfy this constraint setting up a maximum cycling distance and taking into consideration only the routes which satisfy this constraint setting up a time from which the routes involving public transportations will be discarded in particular the user can select the time between the range 18 00 and 5 30 from that time till the morning any route involving public transportations will be avoided specifying the travel means the user intends to use for his travels possible travel means are owned car shared car owned bike shared bike walking public transports f4 warnings management in case a warning is generated by the system due to a possible overlap among two or more meetings the user must solve the warning in other words the user has to decide whether he wants to ignore the warning notification or he intends to modify some meetings to be sure that he can reach and participate to all his appointments in particular the warning are created if there exists a break in the database and the user adds a meeting that makes the break impossible to actually be scheduled in the allowed time this case happens if the overlapping meetings don t leave a free interval within the break range which is greater or equal to the break minimum duration the minimum amount of time in order to get to the previous meeting location to the inserted one exceeds the interval there is between the ending time of the previous meeting and the starting time of the newly added meeting the added meeting partially or totally overlaps in any possible combination with one or more meetings already present in the database in this case a warning containing all the involved meeting is created notice that there should not be a meeting appearing in more than one warning if that is the case a cleaner method is periodically invoked in order to mantain this consistency there can also exist warning containing one or more breaks and one or more meetings however no warning consisting in only breaks without meetings f5 route generation when requested the app is able to find a route if possible from the specific location the user is at in the moment to the location of the considered meeting the suggested travel will fit and satisfy the selected preferences f8 update delete meeting this function is both basic and relevant it allows the user to customize his meetings after their creation in particular everything except the name since it s part of the identification of the meeting can be modified f9 add delete break this feature at first was specified as part of the preferences however since we considered that this is one of the main features we named it alone as an independent functionality the flexible break is a slot of time in the day to be reserved for specific purposes such as a lunch for example the break has a starting time and an ending time which are the extremes times in which the break must be contained the break itself however will only last the time specified by the duration attribute the day to specify for the break is in the form of the day of week monday tuesday ecc which means the first occurrence of that day of week from the creation time the break could also be recurrent which means every week in that day of the week a break will be scheduled the break is flexible in the sense that the actual break only lasts for a time specified by the duration and travlendar will make sure that the user has at least that free time available inbetween his meetings if not a warning will be generated f10 search meeting an added functionality with respect to the ones we initially defined is the seach meeting it allows the user to search for a meeting by typing part of the name the result will be the page of the best match meeting page if any user experience image media uxx png mockups of the user interface concerning the user interface requirements we established to directly provide information about the application screens and layout through several mockups we designed the sketch of the main pages of travlendar following our aim to make a light and user friendly product but at the same time we have pursued an attractive and impressive style apparently the coding phase could affect our desing hence these sketches are not definitive their aim is to give an idea of the application design for this reason if we notice that some changes are necessary due to either app improvement or obstacles in realization we would be ready to modify them homepage to pursue our aim of realizing a user friendly and light app we decided to provide the main functions directly in the homepage indeed from this page a guest can reach the sign up form a user can log himself in can insert a meeting by tapping onto a day in the calendar can manage his preferences and even access the warnings image media homepage png meeting creation this page is a very simple form which allows the user to finalize the creation of a meeting by filling it in all its fields the house logo in the right corner on the top band and near the application name represents the return to homepage icon image media addmeeting png warning page the warnings page has the role to summarize and notify all the conflicts among meetings which involve the user s appointments every warning is represented by a dialog which points out the meetings that generate the conflict and which has two buttons one to ignore the warning and other one to solve it by modifying the conflictual meetings to prevent too much user s clicks an ignore all button is provided which is equivalent to tap ignore for each warning in the list image media warnings png travel means preferences this is a very simple page with a minimalistic design not to uselessly load the application however this basical view provides all the functions which the user needs to select his preferences related to the transports for his travels please notice that the preferences section can be changed by tapping on an specific topic just below the preferences bar image media modtrav png route preferences the route preferences page is very similar to the travel mean preferences page the style is the same and the opportunity to flag or unflag elements too however there are differences some of the preferences in this section are mutal exclusive so the user is prevented to select more than one of them for instance a user can select either the shortest route or the fastest moreover some selection element has customizable details they are represented with a pencil logo on the right and can be managed by the user to best fit his preferences for example the user can select after which hour he does not want to use public transportations image media modpref png adopted development frameworks adopted programming languages to implement travlendar we mainly used java the front end was created using html css and javascript while the back end is plain java and for it we adopted some of the functionalities that jee provides adopted middlewares and libraries we could say that the main middleware we used is glassfish web server it provided us with the functionality of using the java persistence api framework in an easy way allowing us to define and create the entities in the database and mapping them to java classes other adopted frameworks are bootstrap and jquery in order to simplify the creation of an enhanced ui ux the only library we used is json simple a library to simply parse the json files arrived as a response by the google maps apis in order to retrieve specific and useful information used apis the main apis we interfaced with are google maps apis such as google maps distance matrix api to estimate travel time and distance from origin to destination google maps directions api to calculate directions between origin to destination specifying the means of transport google maps place autocomplete to input real addresses for meetings avoiding mispelling of addresses source code structure the following two subsections will be needed for any external person in order to understand the code structure and possibly modify or extend the application back end code structure the back end code of the application is logically subdivided into four source packages entities this package contains all the java entity classes which due to the jpa mapping to the database entity tables allow us to directly manipulating persistent data by simply setting fields of the relative instances each of these classes has a few named queries to easily retrieve data sets from the database fields with specifications defining the sql type and constraints on the attributes of the database tables and getters setters servlets this package contains all the servlets which are needed by the server in order to handle http get post requests and responses most of the used and significant endpoints are managed in these servlets in our case servlets can either process data in the requests and interact with java beans in order to make some changes in the persistent memory or they are used as access points to jsps and their purpose in this case is mainly that of customizing the jsp based on the user session session beans this package contains all the ejb needed both for interacting with the database and to run concurrently some weighty and onerous algorithms such as conflict checking between meetings the common abstract class abstractfacade exposes methods to interact with the database by mapping the methods to the corresponding method call on the jpa entitymanager interface one facade per entity extend the abstract one and contain a few additional methods to handle queries if needed utils this package mainly contains plain java classes with static services methods to be used by servlets and beans front end code structure the front end of the application is primarily composed by jsps in which we decided not to put any scriplets in order not to have the possibility for any runtime exception to occur we thought it would be better to have semantical incorrectness than exceptions that is why we decided to use jstl el to give dynamicity to the plain html code of the jsps the jsps html code is enriched with css and javascipt to make it more appealing and responsive we also used and included in the source code jquery framework and bootstrap testing in order to evaluate the consistency and the reliability of our application we have conducted some unit tests the tests regard the business logic tier the core of the application in terms of complexity and relevance of computation considering that the business logic classes interacts directly with data in the database we had to adopt a specific framework named mockito to mock the method calls which retrieve data from the database and to specify an action to be performed in case of calls during testing execution it is relevant to say that we adopted this mocking framework assuming that the operations related to reading and writing data in the database are executed correctly indeed they are not tested with a proper testing component however we are quite confident that this assumption is consistent because we checked it informally as far as the unit test are concerned we have checked them using junit libraries finally we have tested also that the calls to the google maps apis in particular the distance matrix api we checked that it was executed correctly and that the retrieved information was consistent further details about the test cases and the related outcomes have been included in the document junit and mockito meeting vs meeting conflict this test case has the purpose to evaluate the method to check whether two meeting are in conflict considering that this kind of evaluation involves two meetings at a time we have built two meetings we have assigned them overlapping schedules and we have tested the execution of the method checkmeetingoverlaps meeting m of the class conflictcheckerbean java the result of the test was consistent with the expected outcome meeting vs break conflict this test case was made to check whether the conflict among meetings and breaks was computed correctly due to the fact that the comparison involves one meeting and one break at a time we have built a break and a meeting that should have been overlapping and we tested the execution of the method breakconflictchecker meeting m of the class conflictcheckerbean java as we expectd the outcome certified that the conflict was computed flexible break rescheduling in order to verify the flexible break rescheduling one of the main functions of travlendar we made an apposite test case this analysis simply consists in calling the method checkreschedule string uid of the class conflictcheckerbean java and checking that the outcome in case the flexible rescheduling is infeasible reports that effectively the meeting and the break are in conflict warning existence this test case regards this specific situation a new meeting is inserted in the db and according to its conflicts it should be added in an already existent warning in the database hence this analysis tests whether the already existent warning to be updated is retrieved correctly to perform the test we have simulated the insertion of a warning in the database and we have created a meeting that had to be added to the existent warning then we have called the method checkwarningexistence of the class conflictcheckerbean java and we verified that the outcome was consistent finally for completeness we replayed the test to check also a situation in which a new warning has to be created retrieve duration the current test case has the purpose to verify the interaction between our application and the google maps apis in particular we checked that the requested information is retrieved correctly by testing if the duration of a specific travel is correct doing this we also tested the connection with google servers and the correctness of our queries in other words we called the method retrieveduration string origin string destination string uid date date of the class routecalculatorbean java and we passed them an origin and a destination parameter for which we already know the travel duration and we expected the same outcome jmeter we also made a really trivial test to evaluate the non functional requirements and in particular the performances given an high number of clients requesting a resource the test was done using jmeter and the simple test consisted having a thousand users trying to access the application by performing a login and visiting the homepage the requested are done almost all at the same time ramp up period equal to zero which means no delay between requests as you can see from the below graph the latest visited the homepage after less than 3 seconds which suggests than the performances of the server are already a bit stressed and if the same amount of users requested a more sophisticated resource that would require computationally onerous algorithms by the server the amount of time requires would probably not be reasonable for a user experience point of view notice however that in such an application users would mostly navigate in a burstly way which implies that in order to have a thousand requests at the same exact time the number of users would have to be much larger than a thousand installation instructions quick installation for windows the quick installation consists in downloading glassfish 4 1 1 with the script to install travlendar and the war file already in it download the jdk if you don t have it already from http www oracle com technetwork java javase downloads jdk8 downloads 2133151 html url usually it is stored in c program files java put it there or wherever you prefer keep in mind or save the path where you put it download the zip by clicking on this link https www dropbox com s itycorsvfimpy5w glassfish 4 1 1 zip dl 1 url unzip the folder and put the contained folder glassfish 4 1 1 in c program files in case you have a different jdk from the jdk1 8 0 121 version or you have it in a different folder than the default one navigate to c program files glassfish 4 1 1 glassfish domains domain1 config open domain xml file search for java home attribute there is only one the one of java config node and substitute c program files java jdk1 8 0 121 with the path of your jdk then open the glassfish 4 1 1 folder and double click on installtravlendar file click yes to the popup that asks if you want to run it as administrator write down in the command prompt the jdk path when asked for it for example write c program files java jdk1 8 0 121 press enter wait for the command prompt to close itself then travlendar should be installed correctly launch travlendar by double clicking on travlendar file in glassfish 4 1 1 folder if everything went fine the default browser should have been launched and you should see the login page of the app signup and enjoy the app system requirements jdk in case you don t have any version of java development kit you should download its latest version from http www oracle com technetwork java javase downloads jdk8 downloads 2133151 html url glassfish web server being travlendar a web application it is essential to have a web server installed here we provide information about the installation and deployment on glassfish 4 1 1 you can download it from https javaee github io glassfish download url or alternatively you can follow the quick installation instructions for windows which includes a glassfish installation dbms for simplicity we decided to use the basic dbms provided by glassfish apache derby rdbms thus you do not need anything else if you have installed glassfish server browser for the development and testing we always used google chrome as browser we recommend installing the latest version of chrome and we do not guarantee the absence of bugs and poor performances on other browsers even if they would probably work just as fine manual installation environment setup starting up glassfish server on windows open command prompt as administrator right click on cmd exe and click run as administrator on linux or macos open terminal browse to glassfish installation path and open bin folder usual installation path on windows c program files glassfish 4 1 1 bin execute command cd c program files glassfish 4 1 1 bin execute command asadmin start domain after the server has started you will be able to access the admin console at https localhost 4848 url and the web server at https localhost 8080 url if you need to stop glassfish server just execute command asadmin stop domain setting up jdk path sometimes an error is displayed if glassfish does not find the jdk automatically you can execute the command asadmin set server java config java home c program files java jdk1 8 0 121 just substitute c program files java jdk1 8 0 121 with your path to the jdk you previously downloaded database configuration in order to make it simpler to create the database you can download the already configured derby database from https www dropbox com s 8c8rjc40b86wj77 travlendar zip dl 1 url unzip it and put it in the folder glassfish databases in the glassfish installation path on windows usually cd c program files glassfish 4 1 1 starting apache derby dbms execute command asadmin start database in order to start the database be sure the port is the default one 1527 if at any moment you want to stop the database just execute command asadmin stop database application deployment after having configured and set up the environment download the war file travlendar war at https github com matteomarziali marzialimantovani releases download v1 0 travlendar zip url unzip it where you prefer you can now follow one of these ways in order to deploy the application on glassfish manual deployment from admin console after the server has started you will be able to access the admin console at https localhost 4848 url click on applications tab on the left then click deploy button click on choose file and select the travlendar war release file previously downloaded then click ok if everuthing went fine you should see something similar to this just click on launch to start the application you can access the application opening the url https localhost 8080 travlendar url manual deployment from command line supposing you already started the server and the database and you are in the bin folder in the glassfish installation path just execute asadmin deploy c users mirko desktop travlendar war substituting c users mirko desktop with your path to travlendar war release file you can now access the application by executing start http localhost 8080 travlendar on windows open http localhost 8080 travlendar on macos x or xdg open http localhost 8080 travlendar on linux or simply open the browser and type localhost 8080 travlendar in the url bar and press enter autodeployment just put the travlendar war file in lt glassfish installation path gt domains domain1 autodeploy and restart the server running the app once the deployment is finished you can access the application at localhost 8080 travlendar on a browser in your local machine at 192 168 1 3 8080 travlendar on a device connected to the same lan just replace 192 168 1 3 with the private ip address of the machine the server is running on you can even access the application from a remote device you just need to open the port 8080 of the router of your lan by creating a virtual server and natting the external access onto the private ip address of the machine your server is running on private ip should be configured as static then you can access from wherever you want just by going to xx xx xx xx 8080 travlendar replace xx xx xx xx with the public ip address of your router possible issues and solutions if you encounter any problem in the deployment regarding a database connectivity problem you could download netbeans ide which includes glassfish and derby installation and replace the environment setup steps by creating a database with databasename travlendar name mirko password mirko start glassfish server from there and then pass to the deployment phase as explained in these instructions if also this does not let you deploy the app as last chance you could clone the travlendar repository import it as a project in netbeans build and clean the project and run it | j2ee servlet jsp jpa java alloy css javascript apache-derby | server |
sdk-mbedtls | readme for mbed tls mbed tls is a c library that implements cryptographic primitives x 509 certificate manipulation and the ssl tls and dtls protocols its small code footprint makes it suitable for embedded systems mbed tls includes a reference implementation of the psa cryptography api psa cryptography api this is currently a preview for evaluation purposes only configuration mbed tls should build out of the box on most systems some platform specific options are available in the fully documented configuration file include mbedtls mbedtls config h which is also the place where features can be selected this file can be edited manually or in a more programmatic way using the python 3 script scripts config py use help for usage instructions compiler options can be set using conventional environment variables such as cc and cflags when using the make and cmake build system see below we provide some non standard configurations focused on specific use cases in the configs directory you can read more about those in configs readme txt documentation the main mbed tls documentation is available via readthedocs https mbed tls readthedocs io documentation for the psa cryptography api is available on github https arm software github io psa api crypto to generate a local copy of the library documentation in html format tailored to your compile time configuration 1 make sure that doxygen http www doxygen nl is installed 1 run make apidoc 1 browse apidoc index html or apidoc modules html for other sources of documentation see the support support md document compiling there are currently three active build systems used within mbed tls releases gnu make cmake microsoft visual studio the main systems used for development are cmake and gnu make those systems are always complete and up to date the others should reflect all changes present in the cmake and make build system although features may not be ported there automatically the make and cmake build systems create three libraries libmbedcrypto libmbedx509 and libmbedtls note that libmbedtls depends on libmbedx509 and libmbedcrypto and libmbedx509 depends on libmbedcrypto as a result some linkers will expect flags to be in a specific order for example the gnu linker wants lmbedtls lmbedx509 lmbedcrypto tool versions you need the following tools to build the library with the provided makefiles gnu make 3 82 or a build tool that cmake supports a c99 toolchain compiler linker archiver we actively test with gcc 5 4 clang 3 8 iar 8 and visual studio 2013 more recent versions should work slightly older versions may work python 3 6 to generate the test code and to generate sample programs in the development branch perl to run the tests and to generate some source files in the development branch cmake 3 10 2 or later if using cmake microsoft visual studio 2013 or later if using visual studio doxygen 1 8 11 or later if building the documentation slightly older versions should work generated source files in the development branch the source code of mbed tls includes some files that are automatically generated by scripts and whose content depends only on the mbed tls source not on the platform or on the library configuration these files are not included in the development branch of mbed tls but the generated files are included in official releases this section explains how to generate the missing files in the development branch the following tools are required perl for some library source files and for visual studio build files python 3 and some python packages for some library source files sample programs and test data to install the necessary packages run python m pip install r scripts basic requirements txt a c compiler for the host platform for some test data if you are cross compiling you must set the cc environment variable to a c compiler for the host platform when generating the configuration independent files any of the following methods are available to generate the configuration independent files if not cross compiling running make with any target or just make will automatically generate required files on non windows systems when not cross compiling cmake will generate the required files automatically run make generated files to generate all the configuration independent files on unix posix systems run tests scripts check generated files sh u to generate all the configuration independent files on windows run scripts make generated files bat to generate all the configuration independent files make we require gnu make to build the library and the sample programs gnu make and a c compiler are sufficient some of the more advanced build targets require some unix linux tools we intentionally only use a minimum of functionality in the makefiles in order to keep them as simple and independent of different toolchains as possible to allow users to more easily move between different platforms users who need more features are recommended to use cmake in order to build from the source code using gnu make just enter at the command line make in order to run the tests enter make check the tests need python to be built and perl to be run if you don t have one of them installed you can skip building the tests with make no test you ll still be able to run a much smaller set of tests with programs test selftest in order to build for a windows platform you should use windows build 1 if the target is windows but the build environment is unix like for instance when cross compiling or compiling from an msys shell and windows 1 if the build environment is a windows shell for instance using mingw32 make in that case some targets will not be available setting the variable shared in your environment will build shared libraries in addition to the static libraries setting debug gives you a debug build you can override cflags and ldflags by setting them in your environment or on the make command line compiler warning options may be overridden separately using warning cflags some directory specific options for example i directives are still preserved please note that setting cflags overrides its default value of o2 and setting warning cflags overrides its default value starting with wall wextra so if you just want to add some warning options to the default ones you can do so by setting cflags o2 werror for example setting warning cflags is useful when you want to get rid of its default content for example because your compiler doesn t accept wall as an option directory specific options cannot be overridden from the command line depending on your platform you might run into some issues please check the makefiles in library programs and tests for options to manually add or remove for specific platforms you can also check the mbed tls knowledge base https mbed tls readthedocs io en latest kb for articles on your platform or issue in case you find that you need to do something else as well please let us know what so we can add it to the mbed tls knowledge base https mbed tls readthedocs io en latest kb cmake in order to build the source using cmake in a separate directory recommended just enter at the command line mkdir path to build dir cd path to build dir cmake path to mbedtls source cmake build in order to run the tests enter ctest the test suites need python to be built and perl to be executed if you don t have one of these installed you ll want to disable the test suites with cmake denable testing off path to mbedtls source if you disabled the test suites but kept the programs enabled you can still run a much smaller set of tests with programs test selftest to configure cmake for building shared libraries use cmake duse shared mbedtls library on path to mbedtls source there are many different build modes available within the cmake buildsystem most of them are available for gcc and clang though some are compiler specific release this generates the default code without any unnecessary information in the binary files debug this generates debug information and disables optimization of the code coverage this generates code coverage information in addition to debug information asan this instruments the code with addresssanitizer to check for memory errors this includes leaksanitizer with recent version of gcc and clang with recent version of clang this mode also instruments the code with undefinedsanitizer to check for undefined behaviour asandbg same as asan but slower with debug information and better stack traces memsan this instruments the code with memorysanitizer to check for uninitialised memory reads experimental needs recent clang on linux x86 64 memsandbg same as memsan but slower with debug information better stack traces and origin tracking check this activates the compiler warnings that depend on optimization and treats all warnings as errors switching build modes in cmake is simple for debug mode enter at the command line cmake d cmake build type debug path to mbedtls source to list other available cmake options use cmake lh note that with cmake you can t adjust the compiler or its flags after the initial invocation of cmake this means that cc your cc make and make cc your cc will not work similarly with cflags and other variables these variables need to be adjusted when invoking cmake for the first time for example cc your cc cmake path to mbedtls source if you already invoked cmake and want to change those settings you need to remove the build directory and create it again note that it is possible to build in place this will however overwrite the provided makefiles see scripts tmp ignore makefiles sh if you want to prevent git status from showing them as modified in order to do so from the mbed tls source directory use cmake make if you want to change cc or cflags afterwards you will need to remove the cmake cache this can be done with the following command using gnu find find iname cmake not name cmakelists txt exec rm rf you can now make the desired change cc your cc cmake make regarding variables also note that if you set cflags when invoking cmake your value of cflags doesn t override the content provided by cmake depending on the build mode as seen above it s merely prepended to it consuming mbed tls mbed tls provides a package config file for consumption as a dependency in other cmake projects you can include mbed tls s cmake targets yourself with find package mbedtls if prompted set mbedtls dir to your mbedtls install dir cmake this creates the following targets mbedtls mbedcrypto crypto library mbedtls mbedtls tls library mbedtls mbedx509 x509 library you can then use these directly through target link libraries add executable xyz target link libraries xyz public mbedtls mbedtls mbedtls mbedcrypto mbedtls mbedx509 this will link the mbed tls libraries to your library or application and add its include directories to your target transitively in the case of public or interface link libraries mbed tls as a subproject mbed tls supports being built as a cmake subproject one can use add subdirectory from a parent cmake project to include mbed tls as a subproject microsoft visual studio the build files for microsoft visual studio are generated for visual studio 2010 the solution file mbedtls sln contains all the basic projects needed to build the library and all the programs the files in tests are not generated and compiled as these need python and perl environments as well however the selftest program in programs test is still available in the development branch of mbed tls the visual studio solution files need to be generated first as described in generated source files in the development branch generated source files in the development branch example programs we ve included example programs for a lot of different features and uses in programs programs readme md please note that the goal of these sample programs is to demonstrate specific features of the library and the code may need to be adapted to build a real world application tests mbed tls includes an elaborate test suite in tests that initially requires python to generate the tests files e g test suite mpi c these files are generated from a function file e g suites test suite mpi function and a data file e g suites test suite mpi data the function file contains the test functions the data file contains the test cases specified as parameters that will be passed to the test function for machines with a unix shell and openssl and optionally gnutls installed additional test scripts are available tests ssl opt sh runs integration tests for various tls options renegotiation resumption etc and tests interoperability of these options with other implementations tests compat sh tests interoperability of every ciphersuite with other implementations tests scripts test ref configs pl test builds in various reduced configurations tests scripts depends py test builds in configurations with a single curve key exchange hash cipher or pkalg on tests scripts all sh runs a combination of the above tests plus some more with various build options such as asan full mbedtls config h etc porting mbed tls mbed tls can be ported to many different architectures os s and platforms before starting a port you may find the following knowledge base articles useful porting mbed tls to a new environment or os https mbed tls readthedocs io en latest kb how to how do i port mbed tls to a new environment os what external dependencies does mbed tls rely on https mbed tls readthedocs io en latest kb development what external dependencies does mbedtls rely on how do i configure mbed tls https mbed tls readthedocs io en latest kb compiling and building how do i configure mbedtls mbed tls is mostly written in portable c99 however it has a few platform requirements that go beyond the standard but are met by most modern architectures bytes must be 8 bits all bits zero must be a valid representation of a null pointer signed integers must be represented using two s complement int and size t must be at least 32 bits wide the types uint8 t uint16 t uint32 t and their signed equivalents must be available psa cryptography api psa api arm s platform security architecture psa https developer arm com architectures security architectures platform security architecture is a holistic set of threat models security analyses hardware and firmware architecture specifications and an open source firmware reference implementation psa provides a recipe based on industry best practice that allows security to be consistently designed in at both a hardware and firmware level the psa cryptography api https arm software github io psa api crypto provides access to a set of cryptographic primitives it has a dual purpose first it can be used in a psa compliant platform to build services such as secure boot secure storage and secure communication second it can also be used independently of other psa components on any platform the design goals of the psa cryptography api include the api distinguishes caller memory from internal memory which allows the library to be implemented in an isolated space for additional security library calls can be implemented as direct function calls if isolation is not desired and as remote procedure calls if isolation is desired the structure of internal data is hidden to the application which allows substituting alternative implementations at build time or run time for example in order to take advantage of hardware accelerators all access to the keys happens through key identifiers which allows support for external cryptoprocessors that is transparent to applications the interface to algorithms is generic favoring algorithm agility the interface is designed to be easy to use and hard to accidentally misuse arm welcomes feedback on the design of the api if you think something could be improved please open an issue on our github repository alternatively if you prefer to provide your feedback privately please email us at mbed crypto arm com mailto mbed crypto arm com all feedback received by email is treated confidentially psa implementation in mbed tls mbed tls includes a reference implementation of the psa cryptography api however it does not aim to implement the whole specification in particular it does not implement all the algorithms the x 509 and tls code can use psa cryptography for most operations to enable this support activate the compilation option mbedtls use psa crypto in mbedtls config h note that tls 1 3 uses psa cryptography for most operations regardless of this option see docs use psa crypto md for details upcoming features future releases of this library will include a driver programming interface which makes it possible to use hardware accelerators instead of the default software implementation for chosen algorithms support for external keys to be stored and manipulated exclusively in a separate cryptoprocessor a configuration mechanism to compile only the algorithms you need for your application a wider set of cryptographic algorithms license unless specifically indicated otherwise in a file mbed tls files are provided under the apache 2 0 https spdx org licenses apache 2 0 html license see the license license file for the full text of this license contributors must accept that their contributions are made under both the apache 2 0 and gpl 2 0 or later https spdx org licenses gpl 2 0 or later html licenses this enables lts long term support branches of the software to be provided under either the apache 2 0 or gpl 2 0 or later licenses contributing we gratefully accept bug reports and contributions from the community please see the contributing guidelines contributing md for details on how to do this contact to report a security vulnerability in mbed tls please email mbed tls security lists trustedfirmware org for more information see security md security md to report a bug or request a feature in mbed tls please file an issue on github https github com mbed tls mbedtls issues new choose please see support md support md for other channels for discussion and support about mbed tls | os |
|
FRAB5-Module6-7-G13-2020 | frab5 module6 7 g13 2020 embedded system design for fibo module 6 7 g13 2020 | os |
|
FreeRTOS-raspi3 | freertos ported to raspberry pi 3 64bit i have not yte test on real hardware yet i test with qemu 6 1 0 how to build install aarch64 toolchain make how to run with qemu make run make run qemu system aarch64 m raspi3 m 1024 serial null serial mon stdio nographic kernel kernel8 elf hello world 0000000000000001 00000000000001f6 this port based on xilinx cortex a53 port | aarch64 freertos raspberrypi | os |
tamnun-ml | media cover png tamnun ml pypi pyversions https img shields io badge python 3 6 20 7c 203 7 blue https img shields io badge python 3 6 20 7c 203 7 blue circleci https circleci com gh hiredscorelabs tamnun ml svg style svg https circleci com gh hiredscorelabs tamnun ml tamnun is a python framework for machine and deep learning algorithms and methods especially in the field of natural language processing and transfer learning the aim of tamnun is to provide an easy to use interfaces to build powerful models based on most recent sota methods for more about tamnun feel free to read the introduction to tamnunml on medium https medium com hiredscore engineering introducing octoml 73bd527491b1 getting started tamnun depends on several other machine learning and deep learning frameworks like pytorch keras and others to install tamnun and all it s dependencies run git clone https github com hiredscorelabs tamnun ml cd tamnun ml python setup py install or using pypi pip install tamnun jump in and try out an example cd examples python finetune bert py or take a look at the jupyer notebooks here notebooks bert bert stands for bidirectional encoder representations from transformers which is a language model trained by google and introduced in their paper https arxiv org abs 1810 04805 here we use the excellent pytorch pretrained bert https pypi org project pytorch pretrained bert library and wrap it to provide an easy to use scikit learn https scikit learn org interface for easy bert fine tuning at the moment tamnun bert classifier supports binary and multi class classification to fine tune bert on a specific task python from tamnun bert import bertclassifier bertvectorizer from sklearn pipeline import make pipeline clf make pipeline bertvectorizer bertclassifier num of classes 2 fit train x train y predicted clf predict test x please see this notebook https github com hiredscorelabs tamnun ml blob master notebooks finetune bert ipynb for full code example fitting almost any pytorch module using just one line you can use the torchestimator object to fit any pytorch module with just one line python from torch import nn from tamnun core import torchestimator module nn linear 128 2 clf torchestimator module task type classification fit train x train y see this file https github com hiredscorelabs tamnun ml blob master examples linear mnist py for a full example of fitting nn linear module on the mnist http yann lecun com exdb mnist classification of handwritten digits dataset distiller transfer learning this module distills a very big like bert model into a much smaller model inspired by this paper https arxiv org abs 1503 02531 python from tamnun bert import bertclassifier bertvectorizer from tamnun transfer import distiller bert clf make pipeline bertvectorizer do truncate true max len 3 bertclassifier num of classes 2 distilled clf make pipeline countvectorizer ngram range 1 3 linearregression distiller distiller teacher model bert clf teacher predict func bert clf decision function student model distilled clf fit train texts train y unlabeled x unlabeled texts predicted logits distiller transform test texts for full bert distillation example see this https github com hiredscorelabs tamnun ml blob master notebooks distill bert ipynb notebook support getting help you can ask questions and join the development discussion on github issues https github com hiredscorelabs tamnun ml issues license apache license 2 0 same as tensorflow | deep-learning natural-language-processing machine-learning transfer-learning | ai |
moko-utils | moko utils https user images githubusercontent com 5010169 128706827 ec33a4bf d9c8 4ac5 88cc bd180fe7f596 png github license https img shields io badge license apache 20license 202 0 blue svg style flat http www apache org licenses license 2 0 download https img shields io maven central v dev icerock moko utils https repo1 maven org maven2 dev icerock moko utils kotlin version https kotlin version aws icerock dev kotlin version group dev icerock moko name media mobile kotlin utils this is a kotlin multiplatform library that table of contents features features requirements requirements installation installation usage usage samples samples set up locally set up locally contributing contributing license license features requirements gradle version 6 8 android api 16 ios version 11 0 installation root build gradle groovy allprojects repositories mavencentral project build gradle groovy dependencies commonmainapi dev icerock moko utils 0 3 0 usage samples more examples can be found in the sample directory sample set up locally in utils directory utils contains utils library in sample directory sample contains samples on android ios mpp library connected to apps contributing all development both new features and bug fixes is performed in develop branch this way master sources always contain sources of the most recently released version please send prs with bug fixes to develop branch fixes to documentation in markdown files are an exception to this rule they are updated directly in master the develop branch is pushed to master during release more detailed guide for contributers see in contributing guide contributing md license copyright 2021 icerock mag inc 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 | moko android ios kotlin-multiplatform kotlin-native | front_end |
quick-bench-front-end | build status https github com fredtingaud quick bench front end workflows ci badge svg quick bench front end front end side of the quick bench suite quick bench and build bench websites use online the quick bench suite is a set of online tools available for free quick bench quick bench is a micro benchmarking tool intended to quickly and simply compare the performance of two or more code snippets it uses google benchmark https github com google benchmark s api you can use it by going to https quick bench com build bench build bench is a tool to quickly and simply compare the build time of code snippets with various compilers you can use it by going to https build bench com run instances locally you can run quick bench or build bench locally inside docker using bench runner https github com fredtingaud bench runner debug and run the code locally if you want to build the front end part of the quick bench suite you will need yarn https yarnpkg com each tool has its own folder with a shared components folder for all shared widgets quick bench run cd quick bench yarn yarn start it will start a local server on localhost 3000 that needs to communicate with a local bench runner https github com fredtingaud bench runner back end build bench run cd build bench yarn yarn start it will start a local server on localhost 3000 that needs to communicate with a local bench runner https github com fredtingaud bench runner back end | front_end |
|
rtos-wot | english https github com jollen rtos wot blob master readme rtos wot md rtos wot join the chat at https gitter im jollen rtos wot https badges gitter im jollen rtos wot svg https gitter im jollen rtos wot utm source badge utm medium badge utm campaign pr badge utm content badge rtos wot https github com wot sdk rtos wot freertos iot freertos distribution freertos iot freertos esp8266 rtos sdk freertos open source freertos http www freertos org freertos kernel open source lwip tcp ip stacks freertos kernel contiki coap er coap coap apis coap component based freertos lwip coap web of things readme rtos wot md readme rtos wot md rtos wot iot esp8266 rtos sdk https github com espressif esp8266 rtos sdk rtos wot superhouse esp open rtos esp open rtos https github com jollen rtos wot blob master readme esp open rtos md 2016 3 24 freertos lwip https www moko365 com enterprise iot100 freertos iot programming 101 rtos wot esp8266 freertos http www jollen org blog 2016 01 study freertos using esp8266 html licensing bsd license as described in license applies to original source files lwip http lwip wikia com wiki lwip wiki lwip is copyright c swedish institute of computer science freertos is provided under the gpl with the freertos linking exception allowing non gpl firmwares to be produced using freertos as the rtos core license details in files under freertos dir freertos is copyright c real time engineers ltd source binary components from the espressif iot rtos sdk https github com espressif esp iot rtos sdk were released under the mit license source code components are relicensed here under the bsd license the original parts are copyright c espressif systems newlib is covered by several copyrights and licenses as per the files in the libc directory mbedtls https tls mbed org is provided under the apache 2 0 license as described in the file extras mbedtls mbedtls apache 2 0 txt mbedtls is copyright c arm limited components under extras may contain different licenses please see those directories for details coap as in the coap directory is copyright c 2013 institute for pervasive computing eth zurich the examples for freertos lwip https www moko365 com enterprise iot100 freertos iot programming 101 except the examples included in the original freertos distribution are provided under the bsd 3 clause license | freertos lwip iot coap wot | os |
eyeDoor-iOS | eyedoor ios client for eyedoor a prototype smart doorbell produced as part of my software engineering thesis | os |
|
codecademy-projects | codecademy projects all in one this is list of most projects i had to create to finish web development path on codecademy https www codecademy com i skipped few courses fromweb development path because of their character working in command line testing theese courses are learn the command line discover the power of this simple yet essential text based tool and increase your productivity as a developer learn git learn to save and manage different versions of your code projects with this essential too javascript back end development learn how to create back end servers and apis in javascript using the popular express js framework sql and databases for web development learn the sql fundamentals needed to be a successful full stack web developer test driven development with javascript master the fundamentals of test driven development to create reliable full stack javascript web applications learn html get started as a web developer by learning the basics of html the essential language of the web 1 fashion blog 2 wine festival schedule styling a website learn and practice the fundamentals of css to add beautiful styling to your webpages 3 healthy recipes 4 olivia woodruff portfolio 5 dasmoto s arts crafts getting started with javascript learn the fundamentals of javascript syntax variables conditionals and functions 6 kelvin weather 7 dog years 8 magic eight ball 9 race day 10 rock paper or scissors 11 sleep debt calculator getting more advanced with design learn css techniques for more interesting sites display positioning colors typography responsive design and flexbox 12 the box model davie s burgers 13 broadway 14 paint store 15 typography 16 tsunami coffee 17 flexbox to do app 18 tea cozy javascript arrays loops and objects discover more javascript techniques and features including arrays looping and objects 19 training days 20 secret message 21 whale talk 22 mini linter 23 meal maker 24 team stats 25 lodash building interactive javascript websites learn the document object model the interface between javascript and html elements and combine html css and javascript into exciting interactive sites 26 chore door 27 piano keys 28 musicon introduction to jquery learn the basics of jquery a javascript library that allows you to easily add dynamic behavior to static web pages i skipped project called trivia card because i did not find html and css files 29 madison square market 30 feedster 31 web safe font preview 32 gameboard intermediate javascript learn more techniques to extend your javascript knowledge including reusable classes splitting code into modules and making http requests 33 build a library 34 school catalogue 35 message mixer 36 workaround 37 wanderlust building front end applications with react learn to build dynamic and powerful web apps using react js a component based front end framework 38 authorization form 39 random color picker 40 video player i skipped last project called ravenous for now i think it would be better to create another repository because of the complexity of project | codecademy-pro codecademy begginers learning | front_end |
aws-iot-greengrass-accelerators | aws iot greengrass accelerators aws iot greengrass accelerators accelerators demonstrate common design patterns or use cases for both aws iot greengrass version 1 v1 and also aws iot greengrass version 2 v2 each subfolder under v1 or v2 contains the accelerators aws iot greengrass v2 is the latest major version of aws iot greengrass the v1 accelerators are still applicable but new accelerator development will focus on aws iot greengrass v2 accelerators for aws iot greengrass v2 all of the v2 accelerators are designed to be deployed as a combination of aws cloudformation stacks in the cloud and as docker containers on your local system or through aws cloud9 https aws amazon com cloud9 this provides a consistent and quick approach to testing or investigating functionality without impacting or leaving behind unneeded artifacts while designed for containers the actual components can be deployed onto physical hardware virtual machines or amazon elastic compute cloud amazon ec2 instances the current v2 accelerators are prerequisite base implementation v2 base start here this accelerator deploys a single aws iot greengrass core device as an aws cdk constructed aws cloudformation stack with all required aws iot iam and aws iot greengrass resources it also creates a single hello world component https docs aws amazon com greengrass v2 developerguide manage components html and deployment https docs aws amazon com greengrass v2 developerguide manage deployments html for testing purposes operating system command execution v2 os cmd this accelerator deploys additional functionality on to the base implementation stack to demonstrate sending an operating system command as an mqtt message from aws iot core running the command locally and publishing back the command output to another mqtt topic in the cloud extract transform and load simple implementation v2 etl simple this accelerator deploys additional functionality on to the base implementation stack to demonstrate how to extract transform and load etl data from a local device to the cloud this accelerator breaks the three steps into discrete processes decoupled by using interprocess communcation https docs aws amazon com greengrass v2 developerguide interprocess communication html aws iot sitewise deployment v2 aws iot sitewise this accelerator deploys additional functionality on to the base implementation stack to demonstrate a basic aws iot sitewise deployment specifically it leverages the aws iot sitewise opc ua collector component to collect data from a configurable opc ua endpoint accelerators for aws iot greengrass v1 extract transform and load v1 extract transform load machine learning inference v1 machine learning inference stream manager v1 stream manager and docker application management | server |
|
Embedded-Systems | embedded systems codes from projects of embedded systems design course at iut | os |
|
sandbox-topically | this project is part of cohere sandbox cohere s experimental open source offering this project provides a library tooling or demo making use of the cohere platform you should expect self documented high quality code but be warned that this is experimental therefore also expect rough edges non backwards compatible changes or potential changes in functionality as the library tool or demo evolves please consider referencing a specific git commit or version if depending upon the project in any mission critical code as part of your own projects please don t hesitate to raise issues or submit pull requests and thanks for checking out this project maintainer jalammar https github com jalammar project maintained until at least 2023 04 30 a picture is worth a thousand sentences img src assets topic modeling picture thousand texts png when you want to explore thousands or millions of texts messages emails news headlines topic modeling tools help you make sense of them rapidly and visually topically topically is a work in progress suite of tools that help make sense of text collections messages articles emails news headlines using large language models topically s first feature is to name clusters of short texts based on their content for example here are news headlines from the machinelearning and investing subreddits and the names suggested for them by topically img src assets topically name cluster png usage example use topically to name clusters in the course of topic modeling python import topically app topically topically cohere api key example texts three headlines from the machine learning subreddit project from books to presentations in 10s with ar ml d a demo from 1993 of 32 year old yann lecun showing off the world s first convolutional network for text recognition r first order motion model applied to animate paintings three headlines from the investing subreddit robinhood and other brokers literally blocking purchase of gme nok bb amc allow sells united airlines stock down over 5 premarket trading bitcoin was nearly 20 000 a year ago today we know the first three texts belong to one topic topic 0 the last three belong to another topic topic 1 example topics 0 0 0 1 1 1 topics of examples topic names dict app name topics example texts example topics optional num generations 5 topics of examples run again to get new suggested names more text examples should result in better names output text recognition text recognition text recognition stock market closing bell stock market closing bell stock market closing bell in this simple example we know the cluster assignments in actual applications a topic modeling library like bertopic can cluster the texts for us and then we can name them with topically usage example topically bertopic use topically to name clusters in the course of topic modeling with tools like bertopic get the cluster assignments from bertopic and name the clusters with topically this improves on the keyword topic labels and can build upon them img src assets topically name topics png here s example code and a colab notebook demonstrating this a href https colab research google com github cohere ai sandbox topically blob main notebooks intro 20 20topically 20with 20bertopic ipynb target parent img src https colab research google com assets colab badge svg alt open in colab a code excerpt python from bertopic import bertopic from topically import topically load and initialize bertopic to use kmeans clustering with 8 clusters only cluster model kmeans n clusters 8 topic model bertopic hdbscan model cluster model df is a dataframe df title is the column of text we re modeling df topic probabilities topic model fit transform df title embeds load topically app topically cohere api key name clusters df topic name topic names app name topics df title df topic df title topic topic name img src assets topically name topics example png installation you can install topically from pypi pip install topically optionally you can also install topically with bertopic pip install topically bertopic how it works topically uses a generative language model gpt to assign a name to the text cluster it sends a request to cohere https cohere ai s managed model get an api key https dashboard cohere ai welcome register utm source github utm medium content utm campaign sandbox utm content topically and use it for free for prototyping to generate the titles topically uses a couple of bundled prompts to get the best names for your use case it s best to edit the prompt to add more information about the context and add good cluster names for 3 5 of your clusters this works best on short texts given the context length limitations of gpt models if you re working with long texts you may experiment with excerpts or summaries of the texts architecture overview topically is pretty simple and early in its life at the moment it s made up of two main class topically this class maintains the client to the cohere https cohere ai platform and exposes the main interaction point with topically name topics at the moment it lives in app py clusternamer this class deals with preparing the prompts and calling the generate endpoint to generate suggested topic names it lives in cluster namers py get support if you have any questions or comments please file an issue or reach out to us on discord https discord gg co mmunity contributors if you would like to contribute to this project please read contributors md in this repository and sign the contributor license agreement before submitting any pull requests a link to sign the cohere cla will be generated the first time you make a pull request to a cohere repository license topically has an mit license as found in the license file | nlp topic-modeling machine-learning python | ai |
Strat_Jack | strat jack intelligent computer vision based real time embedded system which recommends optimal user strategy by analyzing live feeds of in person blackjack https en wikipedia org wiki blackjack card games key learnings c opencv https opencv org computer vision image processing real time embedded systems linux command line environments cmake https en wikipedia org wiki cmake build system generator doxygen https www doxygen nl index html code documentation agile group software development enterprise scale collaboration tools jira https en wikipedia org wiki jira software project management confluence https en wikipedia org wiki confluence software cooperation bitbucket https en wikipedia org wiki bitbucket git repos object oriented programming principles and implementation formal software design components user story requirement generation risk identification mitigation uml testing documentation etc supporting files for doxygen documentation click here https rileyblack github io strat jack for class diagram open pi project class diagram png | computer-vision blackjack-cpp image-processing | os |
trucks-and-beer | trucks and beer if an artist is more likely to mention beer in their songs are they more likely to also mention trucks it turns out that yes they are i used my lyricsgenius https github com johnwmillr lyricsgenius web scraper to download the lyrics for this project check out my blog post http www johnwmillr com trucks and beer for more details beer and trucks figures freqplot beer and truck png | ai |
|
esp8266-iot-framework | esp8266 iot framework status https travis ci com maakbaas esp8266 iot framework svg branch master platformio registry https badges registry platformio org packages maakbaas library esp8266 20iot 20framework svg the esp8266 iot framework is a set of modules to be used as a starting point in new esp8266 projects implementing https requests a react web interface wifi manager configuration manager live dashboard and ota updates the unique advantage of this framework is that code generation at build time is used to provide different benefits code generation is used to dynamically generate a configuration struct and a live dashboard from json files to incorporate the web interface into progmem in the firmware and to bundle a full root certificate store in progmem that allows the esp8266 to do secure https requests to arbitrary urls documentation introduction https github com maakbaas esp8266 iot framework introduction getting started https github com maakbaas esp8266 iot framework blob master docs getting started md installation guide https github com maakbaas esp8266 iot framework blob master docs installation guide md web server https github com maakbaas esp8266 iot framework blob master docs web server md wifi manager https github com maakbaas esp8266 iot framework blob master docs wifi manager md dashboard https github com maakbaas esp8266 iot framework blob master docs dashboard md configuration manager https github com maakbaas esp8266 iot framework blob master docs config manager md file manager https github com maakbaas esp8266 iot framework blob master docs file manager md https requests https github com maakbaas esp8266 iot framework blob master docs fetch md ota updater https github com maakbaas esp8266 iot framework blob master docs updater md details beyond the documentation can be found at maakbaas com https maakbaas com esp8266 iot framework quick start if you are new to platformio start with the installation guide https github com maakbaas esp8266 iot framework blob master docs installation guide md otherwise simply start a new project for your esp8266 and add the following line to your platformio ini file ini lib deps esp8266 iot framework take one of the examples https github com maakbaas esp8266 iot framework tree master examples as a starting point to develop your application screenshots dashboard https raw githubusercontent com maakbaas esp8266 iot framework master docs img screenshot dashboard png p align center img width 49 src https raw githubusercontent com maakbaas esp8266 iot framework master docs img screenshot wifi png nbsp img width 49 src https raw githubusercontent com maakbaas esp8266 iot framework master docs img screenshot config png nbsp p p align center img width 49 src https raw githubusercontent com maakbaas esp8266 iot framework master docs img screenshot file png nbsp img width 49 src https raw githubusercontent com maakbaas esp8266 iot framework master docs img screenshot firmware png nbsp p introduction the framework consists of five main parts a web server including the interface it s serving a wifi manager a configuration manager and classes for http requests and ota updates the architecture of the framework is shown in the following diagram architecture https github com maakbaas esp8266 iot framework blob master docs img framework png raw true architecture of the framework shown in blue the basic principles used in developing this framework are 1 the framework is built upon the esp8266 arduino libraries 2 the framework does not include any functionality to control external hardware 3 the framework is fully self contained for easy deployment spiffs littlefs storage is not needed 4 there is a strict split between the esp8266 application and the web interface through an api in short the framework aims to be unobtrusive easy to deploy with a modern web interface that s easy to modify and expand for different projects note the esp32 is not supported by this framework right now due to the reliance on bearssl bearssl is part of the esp8266 arduino libraries but not part of the esp32 arduino libraries also many functionalities of this framework are supported by esp idf for the esp32 therefore my recommendation would be to use esp idf and i don t see enough added value in porting this framework see also here https github com maakbaas esp8266 iot framework issues 142 issuecomment 1315662434 | esp8266 react ota-updates wifi-manager https file-manager | server |
assemble | p align center a href https github com assemble assemble img height 250 width 250 src https raw githubusercontent com assemble assemble master docs logo png a p assemble npm version https img shields io npm v assemble svg style flat https www npmjs com package assemble npm monthly downloads https img shields io npm dm assemble svg style flat https npmjs org package assemble build status https img shields io travis assemble assemble svg style flat https travis ci org assemble assemble gitter https badges gitter im join chat svg https gitter im assemble assemble looking for the grunt plugin please visit grunt assemble https github com assemble grunt assemble note that the current website assemble io is for grunt assemble https github com assemble grunt assemble thanks for your patience while we work on updating the site with documentation for the latest assemble overview click the following sections to expand them details summary table of contents summary quickstart quickstart installing assemble installing assemble installing assemble s cli installing assembles cli assemblefile js assemblefilejs cli cli running tasks running tasks specifying options specifying options object expansion object expansion command line options command line options cwd cwd file file api api templates api templates api create create view types view types engine engine render render file system api file system api src src dest dest copy copy renderfile renderfile task api task api task task build build watch watch plugins plugins discovering plugins discovering plugins authoring plugins authoring plugins learning learning help help more information more information faq faq about about community community related projects related projects similar projects similar projects release history release history contributing contributing contributors contributors authors authors license license toc generated by verb https github com verbose verb using markdown toc https github com jonschlinkert markdown toc details details summary what is assemble summary assemble is a command line tool and developer framework for rapid prototyping static site generation and much more what can i do with assemble details details summary who uses assemble summary assemble is used by thousands of developers and teams in more than 170 countries here are a few examples of sites built with assemble airbus group http www airbusgroup com int en html diebold http www diebold com transformicons http www transformicons com barrel https www barrelny com yesware https www yesware com amaze https www amaze com sennheiser http sennheiser d1 com perf rocks http perf rocks milano js http milanojs com akqa http www akqa com huxtaburger http www huxtaburger com au typeplate http typeplate com angular basics http www angularjsbook com is your website blog or project built with assemble please let us know about it issues 300 details details summary why should i use assemble summary expressive functional api the api is also stable you can use assemble with any web framework or css html toolkit assemble can build static sites or hybrid static dynamic sites streams support you can run any gulp http gulpjs com plugin powerful features features for rapid web development including a robust api for rendering templates with any node js template engine assemble can use any base https github com node base base plugin assemble can do anything jekyll does but with more flexibility and control like gulp assemble can also run any other static site generator as a plugin which means you can do anything and everything all other node js static site generators can do and much more details details summary what can i do with assemble summary rapid prototyping static site generation more powerful alternative to jekyll landing pages a b testing blogs examples blog styleguides themes ui components project scaffolder examples generator generate https github com generate generate is also built on assemble build tool examples build tool documentation verb https github com verbose verb is built on assemble generate boilerplates examples boilerplates scaffolds examples scaffold and targets examples targets e books angular basics http www angularjsbook com was built with assemble much more details details summary rapid development toolkit summary assemble can be used standalone but it s even more powerful when used alongside the following libraries generate https github com generate generate scaffold out new projects from the command line assemble https github com assemble you are here verb https github com verbose verb generate documention for your projects update https github com update update keep your projects up to date details details summary features summary here are just a few of the features assemble offers intuitive cli full support for gulp http gulpjs com and base https github com node base base plugins assemble templates are vinyl https github com gulpjs vinyl files render templates with any template engine engine including nunjucks https github com assemble assemble nunjucks handlebars https github com jonschlinkert engine handlebars lodash https github com jonschlinkert engine lodash and any consolidate engine use multiple engines assemble can detect the one to use based on file extension helpers helpers support for sync and async templates collections collections pages partials includes layouts https github com doowb layouts pagination permalinks https github com assemble assemble permalinks middleware middleware can be used to tranform files at any stage in the render cycle generate pages from json much more details quickstart installing assemble add assemble your project s devdependencies using npm https npmjs org sh npm install d assemble you should now be able to run assemble directly using node assemblefile js etc or using npm scripts for example add the following to package json json scripts build assemble then run sh npm run build installing assemble s cli you can also assemble s cli globally which adds the assemble command to your system path allowing it to be run from any directory sh npm install global assemble note that even if assemble is installed globally it s good practice to install it locally in every project to ensure that your projects are protected against any potentially breaking changes that might occur in assemble between development cycles assemblefile js to use assemble s cli you ll need to add an assemblefile js to your project the fastest way to do this is to run the following command sh assemble if no assemblefile js exists in the current project assemble will ask if you want to add one if you answer yes assemble will then generate a basic assembfile js for you cli run assemble from the command line sh assemble tasks options running tasks specify one or more space separated tasks to run examples run task foo sh assemble foo run tasks foo and bar sh assemble foo bar specifying options non task options are prefixed with examples set the cwd to run an assemblefile js in a different directory sh assemble cwd docs emit views as they re loaded and log them to stderr sh assemble emit view see more command line options command line options object expansion object paths may be specified using dot notation for either the key or value in a command line argument additionally assemble uses expand object https github com jonschlinkert expand object and some custom parsing to make it easier to pass non trivial options and commands via command line so all of the following formats are possible examples boolean values sh assemble foo foo true key value pairs sh assemble foo bar foo bar nested booleans sh assemble option foo options foo true nested key value pairs sh assemble option foo bar options foo bar deeply nested key value pairs sh assemble option foo bar baz qux options foo bar baz qux or on the left side of the sh assemble option foo bar baz qux options foo bar baz qux command line options cwd change the cwd for the assemblefile js to run optionally specifying any tasks to run sh assemble tasks cwd directory example to run the scaffolds example in the examples directory you would enter sh assemble cwd examples scaffolds if successful in the command line you should see something like this img width 527 alt screen shot 2016 01 09 at 1 35 52 pm src https cloud githubusercontent com assets 383994 12217685 0a14294e b6d6 11e5 9e06 dc4738f0e53a png file specify the name of the config file for assemble s cli to run the default is assemblefile js example sh assemble file assemblefile dev js api assemble index js l24 create an assemble app this is the main function exported by the assemble module params options object optionally pass default options to use example js var assemble require assemble var app assemble templates api assemble exposes the entire api from the templates https github com jonschlinkert templates library for working with templates and template collections the api is much more extensive than what is documented here see templates https github com jonschlinkert templates for more documentation templates and views in the following documentation the terms template and view both refer to aspects of the same thing here s what they mean template an actual template string view a object with a content property that contains the template string since views are instances of vinyl https github com gulpjs vinyl you can think of a view as a vinyl file for templates create create a template collection for caching views https github com cpsubrian node views js app create includes viewtype partial options cwd string the base directory to use when loading templates onto the collection from a glob viewtype string array one or more view types view types to associate with the collection add views add a view to the collection js app include foo md contents new buffer this is contents add multiple views js app includes path foo md contents new buffer this is contents path bar md contents new buffer this is contents path baz md contents new buffer this is contents or pass a glob optionally override cwd defined on create app includes md hbs cwd templates includes view types view types are defined on a collection to determine how a templates in the collection will be handled throughout the render cycle available types assemble supports three view types partial views with this type are can be used as partials or partial views which can be injected into other views useful for components document fragments or other snippets of reusable code or content these views are passed to rendering engines to be used as partials or variables on the context if partials are not directly supported layout allows views to wrap other views of any type including other layouts or partials with common code or content renderable views that have a one to one relationship with rendered files that will eventually be visible to a user or visitor to a website for example pages or blog posts the renderable view type is automatically set if no other view types are set defining view types you can define view types when a collection is created js app create snippet viewtype partial or directly on the collection options js app create snippet app snippets option viewtype partial string or array engine register template engine for rendering views with the given ext js app engine ext fn params ext string the file extension of files to render with the engine fn function async function that follows consolidate https github com visionmedia consolidate js engine conventions and takes three arguments str locals and callback example js this engine is already registered in assemble app engine hbs require engine handlebars create a custom engine app engine txt function str locals cb render str with locals cb null str you can tell assemble to use the same engine for all file extensions by setting a value on options engine example js use engine hbs for rendering all files app option engine hbs or if you re using renderfile renderfile you can force a specific engine to be used by passing the engine name example use the hbs engine to render all templates js app src templates pipe app renderfile hbs render render a view with the given locals and callback js app render view title foo function err view view is an object with a rendered content property params view object string the view to render locals object locals to pass to template engine for rendering templates in view callback function file system api assemble offers the following low level methods for working with the file system src src symlink symlink dest dest copy copy assemble has first class support for vinyl fs https github com gulpjs vinyl fs so any gulp http gulpjs com plugin can be used in your assemble pipeline src create a vinyl https github com gulpjs vinyl stream takes glob patterns or filepaths to the source files to read params glob string array glob patterns or file paths to source files options object options or locals to merge into the context and or pass to src plugins example js app src src hbs define src options app src src hbs layout default dest specify a destination for processed files params dest string function file path or rename function options object options and locals to pass to dest plugins example js app dest dist copy copy files with the given glob patterns to the specified dest params patterns string array glob patterns of files to copy dest string function desination directory returns stream stream to continue processing if necessary example js app task assets function return to let assemble know when the task has completed return app copy assets dist renderfile renders files as they are pushed through the stream js app src hbs pipe app renderfile pipe app dest foo force a specific engine to be used for rendering files js app engine txt function str locals cb cb null str app src hbs pipe app renderfile txt use engine txt pipe app dest foo task api assemble has the following methods for running tasks and controlling workflows task task build build watch watch task define a task to be run when the task is called params name string task name fn function function that is called when the task is run example js app task default function app src templates hbs pipe app dest site build run one or more tasks params tasks array string task name or array of task names cb function callback function that exposes err example js app build foo bar function err if err throw err console log done watch watch files run one or more tasks when a watched file changes params glob string array filepaths or glob patterns tasks array task s to watch example js app task watch function app watch docs md docs plugins discovering plugins plugins from any applications built on base https github com node base base should work with assemble and can be used in your assemblefile js base https www npmjs com browse keyword baseplugin find base plugins on npm using the baseplugin keyword assemble https www npmjs com browse keyword assembleplugin find assemble plugins on npm using the assembleplugin keyword generate https www npmjs com browse keyword generateplugin find generate plugins on npm using the generateplugin keyword templates https www npmjs com browse keyword templatesplugin find templates plugins on npm using the templatesplugin keyword update https www npmjs com browse keyword updateplugin find update plugins on npm using the updateplugin keyword verb https www npmjs com browse keyword verbplugin find verb plugins on npm using the verbplugin keyword authoring plugins visit the plugin documentation docs plugins md guide to learn how to use author and publish plugins learning help get in touch have questions suggestions or want to discuss assemble join the conversation on gitter http gitter im assemble assemble or give us a shout on twitter https twitter com assemblejs the assemble team and community are always happy to help more information documentation docs temporarily while we work on the new website docs can be found in support docs src support docs src api documentation support docs src content api md generators maintained by the core team https github com generate faq website is outdated and being refactored assemble s website assemble io only has information related to gulp assemble http assemble io we re working hard to update the site with information about the latest release in the meantime you might find the wip docs docs src content useful the unit tests test are also great examples is the assemble website up to date no as mentioned above it s completely out of date if you re using grunt assemble https github com assemble grunt assemble some of the documentation at assemble io might still be useful if you re using assemble v0 6 0 and higher the documentation is probably wrong in almost every way we re actively daily working on a refactor and it s a very high priority what s the difference between assemble core https github com assemble assemble core and assemble assemble adds a cli a few built in view collections pages layouts and partials middleware for parsing front matter and a few other basic defaults that we ve found many users expect if you d prefer different defaults assemble core https github com assemble assemble core is a great starting point if you want something that handles templates rendering engines helpers collections etc but you don t need to run tasks or work with the file system then consider using templates https github com jonschlinkert templates instead of assemble core i use gulp why is it recommended to use assemble directly instead of running assemble with gulp you can run gulp plugins with assemble but it won t always work the other way around this is because as a build system assemble does things that gulp doesn t do like handle middleware for example assemble s src and dest methods have built in onstream prewrite and postwrite middleware handlers if you still wish to use gulp and your build cycle includes middleware that requires these handlers you can use the assemble handle https github com assemble assemble handle plugin with gulp to ensure that the handlers are still called as needed this is a long way of saying you can find ways to make gulp work but you would just be adding an extra dependency to your project to do things that assemble already does what is the relationship between gulp and assemble please read our gulp faq docs src subjects gulp faq md for more information about community get updates on assemble s development and chat with the project maintainers and community members follow assemblejs on twitter https twitter com assemblejs if you like assemble and want to tweet about it please feel free to mention assemblejs or use the assemble hashtag read and subscribe to the official assemble blog https github com assemble assemble blog join the official slack room https assemble github io slack join the conversation on gitter https gitter im assemble assemble utm source share link utm medium link utm campaign share link tell us about your assemble project https github com assemble assemble issues 300 show your love by starring assemble get implementation help on stackoverflow http stackoverflow com questions tagged assemble please use the assemble https stackoverflow com questions tagged assemble assemble tag in questions gitter discuss assemble with us on gitter https gitter im assemble assemble for maximum discoverability plugin developers should use the keyword assembleplugin on packages which modify or add to the functionality of assemble when distributing through npm https www npmjs com browse keyword assemble or similar delivery mechanisms contributing please read our contributing guide github contributing md if you d like to learn more about contributing to this project related projects you might also be interested in these projects from doowb https github com doowb and jonschlinkert https github com jonschlinkert boilerplate https www npmjs com package boilerplate tools and conventions for authoring and using declarative configurations for project boilerplates that can be more https github com jonschlinkert boilerplate homepage https github com jonschlinkert boilerplate tools and conventions for authoring and using declarative configurations for project boilerplates that can be consumed by any build system or project scaffolding tool generate https www npmjs com package generate command line tool and developer framework for scaffolding out new github projects generate offers the more https github com generate generate homepage https github com generate generate command line tool and developer framework for scaffolding out new github projects generate offers the robustness and configurability of yeoman the expressiveness and simplicity of slush and more powerful flow control and composability than either scaffold https www npmjs com package scaffold conventions and api for creating declarative configuration objects for project scaffolds similar in format more https github com jonschlinkert scaffold homepage https github com jonschlinkert scaffold conventions and api for creating declarative configuration objects for project scaffolds similar in format to a grunt task but more portable generic and can be used by any build system or generator even gulp update https www npmjs com package update be scalable update is a new open source developer framework and cli for automating updates more https github com update update homepage https github com update update be scalable update is a new open source developer framework and cli for automating updates of any kind in code projects verb https www npmjs com package verb documentation generator for github projects verb is extremely powerful easy to use and is used more https github com verbose verb homepage https github com verbose verb documentation generator for github projects verb is extremely powerful easy to use and is used on hundreds of projects of all sizes to generate everything from api docs to readmes similar projects if assemble doesn t do what you need there are some other great open source projects you might be interested in created by our friends on github in alphabetical order static site generators docpad https github com docpad metalsmith https github com metalsmith punch https github com laktek punch wintersmith https github com jnordberg wintersmith blog frameworks hexojs https github com hexojs ghost https github com tryghost ghost release history changelog entries are classified using the following labels from keep a changelog https github com olivierlacan keep a changelog added for new features changed for changes in existing functionality deprecated for once stable features removed in upcoming releases removed for deprecated features removed in this release fixed for any bug fixes custom labels used in this changelog dependencies bumps dependencies housekeeping code re organization minor edits or other changes that don t fit in one of the other categories 0 24 0 https github com assemble assemble compare 0 23 0 0 24 0 2017 05 19 added by popular request assemble now automatically expands config templates in yaml front matter via expand front matter https github com jonschlinkert expand front matter this is a feature that we had in grunt assemble and users let us know that they wanted it back fixed updated dependencies to use is binary buffer https github com jonschlinkert is binary buffer which fixes a bug where isbinaryfile was trying to read from a file that didn t exist 0 23 0 https github com assemble assemble compare 0 21 0 0 23 0 2017 02 11 dependencies bumps assemble core https github com assemble assemble core to get an update to assemble streams https github com assemble assemble streams that ensures that view is decorated with tostream when created by app versus a collection 0 21 0 https github com assemble assemble compare 0 20 0 0 21 0 2017 02 03 dependencies bumps assemble loader https github com assemble assemble loader to v1 0 0 to take advantage of optimizations improvements and bug fixes related to loading views fixed regression in 0 20 0 that was causing view stat to be null in some cases after view path changed view base was not always correct on views that were not created from the file system 0 20 0 https github com assemble assemble compare 0 19 0 0 20 0 2017 02 02 dependencies bumps assemble core https github com assemble assemble core to v0 29 0 to take advantage of improvements to dest handling 0 19 0 https github com assemble assemble compare 0 18 0 0 19 0 2017 02 01 dependencies bumps assemble core https github com assemble assemble core to v0 28 0 to take advantage of new methods available on list s 0 18 0 https github com assemble assemble compare 0 17 0 0 18 0 dependencies bumps assemble core https github com assemble assemble core to 0 27 0 0 17 0 https github com assemble assemble compare 0 16 1 0 17 0 dependencies bumps assemble core https github com assemble assemble core to 0 26 0 0 16 1 https github com assemble assemble compare 0 16 0 0 16 1 bump dependencies in particular there was a bug in parser front matter https github com jonschlinkert parser front matter where leading whitespace was removed after extracting front matter which caused the first line of indentation to be removed this has been fixed 0 16 0 https github com assemble assemble compare 0 15 0 0 16 0 added log method which also exposes additional methods like log info log success etc docs were moved to support docs so that markdown docs can be built to the docs directory docs were updated new docs added moves some private prototype methods to static methods to allow them to be used without creating an instance bumps assemble core https github com assemble assemble core to v0 25 0 0 15 0 https github com assemble assemble compare 0 14 0 0 15 0 bumps assemble core https github com assemble assemble core to v0 24 0 to get the latest versions of templates https github com jonschlinkert templates and base data https github com node base base data which removes the renamekey option from the data method use the namespace option instead 0 14 0 https github com assemble assemble compare 0 13 0 0 14 0 bumps assemble core https github com assemble assemble core to v0 22 0 to take advantage of fixes and improvements to lookup methods find and getview no api changes were made please let us know issues if regressions occur fixes list bug that was caused collection helpers to explode improvements to lookup functions app getview and app find bumps base https github com node base base to take advantages of code optimizations 0 13 0 https github com assemble assemble compare 0 12 0 0 13 0 bumps assemble core https github com assemble assemble core to v0 21 0 support for the queue property was removed on collections see assemble core https github com assemble assemble core for additional details fixes bug where glob parent was not being used for file base causing dest directory to be relative to cwd instead of glob parent in some cases some changes were made to context handling that effected one unit test out of 1 000 although it s unlikely you ll be effected by the change it warrants a minor bump externalizes common templates https github com jonschlinkert templates tests to base test runner so that assemble plugins and other base https github com node base base applications can use the tests includes a fix from assemble loader https github com assemble assemble loader where a bug caused renamekey to not always be used when defined on collection loader options includes fixes from templates for resolving layouts 0 12 0 https github com assemble assemble compare 0 11 0 0 12 0 bumps assemble core https github com assemble assemble core to v0 18 0 which includes a bump in templates https github com jonschlinkert templates see the changelog on the templates library for more details 0 11 0 https github com assemble assemble compare 0 10 0 0 11 0 debug methods and related code have been removed bumps assemble core https github com assemble assemble core to v0 17 0 0 10 0 https github com assemble assemble compare 0 9 0 0 10 0 adds support for using es6 generators with tasks bumps assemble core https github com assemble assemble core to v0 15 0 0 9 0 https github com assemble assemble compare 0 8 0 0 9 0 bumps several dependencies no api changes this is mostly an optimization release be sure to completely remove node modules and reinstall all dependencies to avoid errors such as isregistered is not a function 0 8 0 https github com assemble assemble compare 0 7 0 0 8 0 updates composer https github com doowb composer to v0 11 0 which removes the watch method in favor of using the base watch https github com node base base watch plugin changes in templates https github com jonschlinkert templates please see v0 11 0 in templates history https github com jonschlinkert templates history for more details 0 7 0 https github com assemble assemble compare 0 6 0 0 7 0 stability improvements and optimizations of the api introduced in v0 6 0 0 6 0 major refactor assemble was completely re written from the ground up as a standalone node js library and is no longer a grunt plugin grunt plugin support has been moved to grunt assemble https github com assemble grunt assemble please see that repo for additional details changelog generated by helper changelog https github com helpers helper changelog contributing pull requests and stars are always welcome for bugs and feature requests please create an issue issues new please read the contributing guide github contributing md for advice on opening issues pull requests and coding standards if assemble doesn t do what you need please let us know https github com undefined issues new contributors commits contributor 1497 jonschlinkert https github com jonschlinkert 842 doowb https github com doowb 11 andersdjohnson https github com andersdjohnson 7 arkkimaagi https github com arkkimaagi 7 stefanwalther https github com stefanwalther 4 avr https github com avr 4 bendrucker https github com bendrucker 2 thegreatsunra https github com thegreatsunra 2 rauberdaniel https github com rauberdaniel 2 onokumus https github com onokumus 2 robloach https github com robloach 2 stevenblack https github com stevenblack 2 xzyfer https github com xzyfer 2 ain https github com ain 1 asans https github com asans 1 bauerca https github com bauerca 1 caseyg1204 https github com caseyg1204 1 hyzhak https github com hyzhak 1 mootari https github com mootari 1 criticalmash https github com criticalmash 1 joonasy https github com joonasy 1 jordanthomas https github com jordanthomas 1 frayer https github com frayer 1 efender https github com efender 1 pburtchaell https github com pburtchaell 1 scmorrison https github com scmorrison 1 oncletom https github com oncletom 1 tylerhowarth https github com tylerhowarth 1 klokie https github com klokie authors jon schlinkert github jonschlinkert https github com jonschlinkert twitter jonschlinkert http twitter com jonschlinkert brian woodward github doowb https github com doowb twitter doowb http twitter com doowb license copyright 2017 jon schlinkert https github com jonschlinkert mit this file was generated by verb generate readme https github com verbose verb generate readme v0 6 0 on december 27 2017 | build static-site static-site-generator templates scaffold generator nodejs javascript gulp grunt assemble pwa html css markdown docs documentation md blog-engine html-templates | front_end |
Python-Machine-Learning | python machine learning tous les codes utilis s dans la s rie youtube python sp cial machine learning https www youtube com playlist list plo fdpevlfkqmdnmcfzqisi2h njcedjq | ai |
|
llama2_vietnamese | llama2 vietnamese p align center img src docs imgs logo png alt llama 2 logo width 200 p ti ng vi t readme vi md a fine tuned large language model llm for the vietnamese language based on the llama 2 model introduction language is the heart and soul of a culture the vietnamese language filled with its nuances idioms and unique characteristics has always been a beautiful puzzle waiting to be embraced by large language models taking baby steps this project is an effort to bring the power of large language models to the vietnamese language current status aug 30th 2023 we ve just rolled out a experience version of a large language model for vietnamese finetuned on llama2 7b https huggingface co meta llama llama 2 7b hf this model has been fine tuned on a 20k instruction data sample it s experimental and intended for lightweight tasks model checkpoint the model has been published on huggingface and can be accessed here https huggingface co ngoantech llama 2 7b vietnamese 20k example output here s a glance at what you can expect from the model img src docs imgs exp 1 png alt output 1 getting started 1 clone the repository bash git clone https github com ngoanpv llama2 vietnamese cd llama2 vietnamese 2 install dependencies bash pip install r requirements txt 3 start the fastapi server bash python serving fastapi main py 4 to test the server use the provided script bash python scripts request fastapi py limitations 1 predominant focus on english the original version of llama 2 was chiefly focused on english language data while we ve fine tuned this model specifically for vietnamese its underlying base is primarily trained on english 2 limited fine tuning the current model has been fine tuned on a small dataset we are working on expanding the dataset and will release new versions as we make progress 3 usage caution owing to these limitations users are advised to exercise caution when deploying the model for critical tasks or where high linguistic accuracy is paramount acknowledgements llama https github com facebookresearch llama llama recipes https github com facebookresearch llama recipes llama efficient tuning https github com hiyouga llama efficient tuning logo is generated by thucth qt https github com thucth qt future plans fine tune on a larger dataset evaluation on downstream tasks experiment with different model sizes experiment with different serving frameworks vllm tgi etc experiment with expanding the tokenizer and prepare for pre training stay tuned for future releases as we are continuously working on improving the model expanding the dataset and adding new features thank you for your interest in our project we hope you find it useful if you have any questions please feel free to reach out to us at ngoanpham1196 gmail com | large-language-models vietnamese-nlp | ai |
language.dart | this project is now deprecated if you would like to complete it feel free to send pr s language general natural language processing utilities for dart it provides a simple api for getting started with natural language processing nlp artificial intelligence ai and natural language generation nlg tasks this package will initially support english in future it may support other major languages like spanish russian chinese maybe features overview tokenization tokenization space tokenizer space tokenizer tab tokenizer tab tokenizer string distance n grams markov chain classifiers phonetics language identification summarization part of speech tagging pos sentiment analysis tf idf words inflection and lemmatization tokenization space tokenizer spacetokenizer tokenizer new spacetokenizer tokenizer tokenize brown fox jumps brown fox jumps tokenizer tokenize stand on your head stand on your head tab tokenizer tabtokenizer tokenizer new tabtokenizer tokenizer tokenize brown tfox tjumps brown fox jumps regexp tokenizer word tokenizer word punctuation tokenizer treebank tokenizer string distance jaro winkler algorithm levenshtein algorithm dice s coefficient n grams markov chain http blog codinghorror com markov and you classifiers naive bates logistic regression phonetics soundex metaphone double metaphone language identification summarization part of speech tagging pos tnt sentiment analysis tf idf words inflection and lemmatization noun inflection number inflection present verb inflector testing chmod u x tool run tests sh tool run tests sh | ai |
|
appium.io | this repository is for deprecated appium io website https appium github io appium io docs en about appium intro appium io the public front end for appium visible at appium io http appium io there are two components to this 1 a jekyll server which takes markdown files and turns them into our public facing website 2 a set of scripts which take the appium docs and convert them to html using mkdocs to locally preview appium io requirements 1 ruby 2 1 0 or higher https www ruby lang org en downloads macos system installed ruby might cause installation issue 1 node npm 1 ruby bundler gem install bundler 1 pip brew install pip 1 mkdocs 0 17 5 pip install mkdocs 0 17 5 setup bundle install npm install development npm run build docs build the docs locally must set env variable local appium to the path to your local appium repo npm run build docs local start a local jekyll server this allows you to view appium io at localhost 4000 npm run serve lint test npm run lint npm run test crawl for broken links npm run crawl publishing newly built docs must be committed and pushed to the gh pages branch on github | front_end |
|
bestofml | best of machine learning a collection of the best resources in machine learning visit curated website https bestofml com categories books https bestofml com category books courses https bestofml com category courses job boards https bestofml com category job boards news blogs https bestofml com category news blogs papers https bestofml com category papers contributing we re open for pull requests new resources for the categories mentioned above can be added in src data resources yml https github com remoteml bestofml blob master src data resources yml the format is as follows name category category see above tags 2 3 related tags url direct url description short description 1 2 senteces please add new resources at the very bottom of the list get in touch this project is supported by remoteml https remoteml com visit our community https remoteml com chat if you want to learn more | machine-learning deep-learning paper papers machine-learning-tutorials machine-learning-algorithms data-science | ai |
TE-Computer-Engineering-Lab-Assignment-Codes-Database-Management-Systems-SPPU- | te cs engineering assignment codes dbms all the sppu t e computer engineering dbms lab programming assignments using mysql and mongodb database | mysql mongodb dbms database engineering third year sql 2019 lab programming query connectivity management computer codes solut | server |
KFAST | kfast picture alt https raw githubusercontent com komrad36 kfast master results jpg speed comparison of kfast vs other implementations kfast is the fastest cpu implementation of the fast feature detector for computer vision as described in the 2006 paper by rosten and drummond machine learning for high speed corner detection by edward rosten and tom drummond https www edwardrosten com work rosten 2006 machine pdf non maximal suppression is supported my implementation uses avx2 multithreading and many other careful optimizations to implement the fast algorithm as described in the paper but at great speed this implementation outperforms the next fastest implementation by 60 single threaded or 500 multi threaded while exactly matching its output and capabilities the test driver requires opencv for comparison and image load kfast itself requires avx2 for speeeeeeeeed but does not require opencv it has no dependencies whatsoever works on linux g and windows msvc with c 11 or higher modern compiler and processor highly recommended on linux you can do make kfast all functionality is contained within kfast h main cpp is a test driver demonstrating a performance comparison between dr rosten s code opencv s implementation and my implementation dr rosten s implementation is contained in the folder rosten simply plugging kfast into orb results in a several fold speed improvement however there are a lot of other things that need to be improved about orb too and i am working on it as time permits i ll release them all at once when finished i would like to thank dr rosten for his brilliant fast and faster corner detectors you can visit his website at www edwardrosten com or his github at https github com edrosten dr rosten s work is bsd licensed copyright c 2006 2008 2009 2010 edward rosten all rights reserved redistribution and use in source and binary forms with or without modification are permitted provided that the following conditions are met redistributions of source code must retain the above copyright notice this list of conditions and the following disclaimer redistributions in binary form must reproduce the above copyright notice this list of conditions and the following disclaimer in the documentation and or other materials provided with the distribution neither the name of the university of cambridge nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission this software is provided by the copyright holders and contributors as is and any express or implied warranties including but not limited to the implied warranties of merchantability and fitness for a particular purpose are disclaimed in no event shall the copyright owner or contributors be liable for any direct indirect incidental special exemplary or consequential damages including but not limited to procurement of substitute goods or services loss of use data or profits or business interruption however caused and on any theory of liability whether in contract strict liability or tort including negligence or otherwise arising in any way out of the use of this software even if advised of the possibility of such damage | ai |
|
etl_pipeline-for-song_play-analysis | sparkify postgres etl this is the first project submission for the data engineering nanodegree this project consists on putting into practice the following concepts data modeling with postgres database star schema created etl pipeline using python context a startup called sparkify wants to analyze the data they ve been collecting on songs and user activity on their new music streaming app the analytics team is particularly interested in understanding what songs users are listening to currently they don t have an easy way to query their data which resides in a directory of json logs on user activity on the app as well as a directory with json metadata on the songs in their app your role is to create a database schema and etl pipeline for this analysis data song datasets all json files are nested in subdirectories under data song data a sample of this files is num songs 1 artist id arjie2y1187b994ab7 artist latitude null artist longitude null artist location artist name line renaud song id soupiru12a6d4fa1e1 title der kleine dompfaff duration 152 92036 year 0 log datasets all json files are nested in subdirectories under data log data a sample of a single row of each files is artist slipknot auth logged in firstname aiden gender m iteminsession 0 lastname ramirez length 192 57424 level paid location new york newark jersey city ny nj pa method put page nextsong registration 1540283578796 0 sessionid 19 song opium of the people album version status 200 ts 1541639510796 useragent mozilla 5 0 windows nt 6 1 applewebkit 537 36 khtml like gecko chrome 36 0 1985 143 safari 537 36 userid 20 database schema the schema used for this exercise is the star schema there is one main fact table containing all the measures associated to each event user song plays and 4 dimentional tables each with a primary key that is being referenced from the fact table on why to use a relational database for this case the data types are structured we know before hand the sctructure of the jsons we need to analyze and where and how to extract and transform each field the amount of data we need to analyze is not big enough to require big data related solutions ability to use sql that is more than enough for this kind of analysis data needed to answer business questions can be modeled using simple erd models we need to use joins for this scenario fact table songplays records in log data associated with song plays i e records with page nextsong songplay id int primary key id of each user song play start time date not null timestamp of beggining of user activity user id int not null id of user level text user level free paid song id text not null id of song played artist id text not null id of artist of the song played session id int id of the user session location text user location user agent text agent used by user to access sparkify platform dimension tables users users in the app user id int primary key id of user first name text not null name of user last name text not null last name of user gender text gender of user m f level text user level free paid songs songs in music database song id text primary key id of song title text not null title of song artist id text not null id of song artist year int year of song release duration float not null song duration in milliseconds artists artists in music database artist id text primary key id of artist name text not null name of artist location text name of artist city lattitude float lattitude location of artist longitude float longitude location of artist time timestamps of records in songplays broken down into specific units start time date primary key timestamp of row hour int hour associated to start time day int day associated to start time week int week of year associated to start time month int month associated to start time year int year associated to start time weekday text name of week day associated to start time project structure files used on the project 1 data folder nested at the home of the project where all needed jsons reside 2 sql queries py contains all your sql queries and is imported into the files bellow 3 create tables py drops and creates tables you run this file to reset your tables before each time you run your etl scripts 4 test ipynb displays the first few rows of each table to let you check your database 5 etl ipynb reads and processes a single file from song data and log data and loads the data into your tables 6 etl py reads and processes files from song data and log data and loads them into your tables 7 readme md current file provides discussion on my project break down of steps followed 1 wrote drop create and insert query statements in sql queries py 2 run in console python create tables py 3 used test ipynb jupyter notebook to interactively verify that all tables were created correctly 4 followed the instructions and completed etl ipynb notebook to create the blueprint of the pipeline to process and insert all data into the tables 5 once verified that base steps were correct by checking with test ipynb filled in etl py program 6 run etl in console and verify results python etl py etl pipeline prerequisites database and tables created 1 on the etl py we start our program by connecting to the sparkify database and begin by processing all songs related data 2 we walk through the tree files under data song data and for each json file encountered we send the file to a function called process song file 3 here we load the file as a dataframe using a pandas function called read json 4 for each row in the dataframe we select the fields we are interested in song data song id title artist id year duration artist data artist id artist name artist location artist longitude artist latitude 5 and finally we insert this data into their respective databases 6 once all files from song data are read and processed we move on processing log data 7 we repeat step 2 but this time we send our files to function process log file 8 we load our data as a dataframe same way as with songs data 9 we select rows where page nextsong only 10 we convert ts column where we have our start time as timestamp in millisencs to datetime format we obtain the parameters we need from this date day hour week etc and insert everythin into our time dimentional table 11 next we load user data into our user table 12 finally we lookup song and artist id from their tables by song name artist name and song duration that we have on our song play data the query used is the following song select select song id artists artist id from songs join artists on songs artist id artists artist id where songs title s and artists name s and songs duration s 13 the last step is inserting everything we need into our songplay fact table authors nitin sai aditya kandregula github https github com nitin28061996 linkedin https www linkedin com in nitinadityak | server |
|
dl_in_nlp_deeppavlov_cs224n_spring2020 | dl in nlp by deeppavlov spring 2020 div align center https habrastorage org webt wd ip jk wdipjkfghfhbieow9wo dgy7vcm png div the course is held in russian main platform is this telegram channel https t me dlinnlp2020spring lead by alex sorokin alexeysorokin89 vasiliy konovalov letmypeoplego both affiliated with mipt supported by opendatascience https ods ai unoffical discussions are held in the class cs224n slack channel main links official course repository https github com deep nlp spring 2020 deep nlp cs224n lectures 2019 playlist https tinyurl com y35bo9mb cs224n lecture notes http web stanford edu class cs224n readings lectures and seminars by deeppavlov playlist https www youtube com watch v zep gauizfm list plt1ifgj6 elbx1kgtfxu53arypkctpq ru telegram channel https t me dlinnlp2020spring dl in nlp spring 2020 ru deeppavlov forum https forum deeppavlov ai t about the deep learning in nlp 2020 spring category 319 ru task grading faq https docs google com document d 15ghxwhmzxx1hzt7 8jupvoq68nhma7vu7 hggpuxwk edit usp sharing ru a list https drive google com open id 1gbxnwb9wqaad0z1j wv2ucfzjdhsy5x7 of useful resources from spring 2019 course session week 1 word vector representations 1 lectures word vector representations word2vec https youtu be 8rxd5 xhemo word vectors and word senses https youtu be kemjrjednzm 0 00 38 40 58 00 1 20 00 cs231n lecture https youtu be i94ovyb6noo cs224n lecture notes http web stanford edu class cs224n readings cs224n 2019 notes01 wordvecs1 pdf fasttext paper https www mitpressjournals org doi pdfplus 10 1162 tacl a 00051 glove paper https www aclweb org anthology d14 1162 pdf cs224n lecture https youtu be asn7exxlzws on glove by richard socher 2nd author a lecture https youtu be chcexdsdehu on fasttext by facebook a particuliarly good tutorial on word2vec by chris mccormick part1 http mccormickml com 2016 04 19 word2vec tutorial the skip gram model part2 http mccormickml com 2017 01 11 word2vec tutorial part 2 negative sampling 2 quiz 1 https forms gle 2gjgq1ot1dfhqsnz7 due on feb 10th 9am moscow time 3 quiz 2 https forms gle 1kusvhcmnt7hxsrh7 due on feb 17th 9am moscow time 3 assignment 1 github classroom invitation link https classroom github com a lu lw 7h due on feb 18th 00 00 mst 4 assignment 2 studying word embeddings and implemeting word2vec github classroom invitation link https classroom github com a svj6u qk due on march 20th extended 23 59 moscow time weeks 2 4 basics of neural networks 1 materials cs231n lecture https www youtube com watch v gypojmlgyxa cs231n lecture notes part 1 http cs231n github io neural networks 1 and part 2 http cs231n github io neural networks 2 2 quiz 3 https forms gle zyxkgxpwli3fane16 due on feb 24th 9am moscow time 3 quiz 4 https docs google com forms d e 1faipqlsdb85h3qmmgdyjhg4ohqagvj5aamro3chqpaa9d vygtcoolq viewform due on march 2nd 9am moscow time week 5 rnns and language models 1 materials cs231n lecture 6 https youtu be iwea12eau6u cs231n lecture 7 https www youtube com watch v qew0qea0e50 list ploromvodv4rohcuxmzknm7j3fvwbby42z index 7 cs231n lecture notes http web stanford edu class cs224n readings cs224n 2019 notes05 lm rnn pdf lecture https drive google com open id 1hufntrxxahnrvssckts p59j 7p bga1 on ngram models ru the unreasonable effectiveness of recurrent neural networks a post http karpathy github io 2015 05 21 rnn effectiveness by a karpathy understanding lstm networks a post https colah github io posts 2015 08 understanding lstms by christopher olah on gradients in rnns a paper http proceedings mlr press v28 pascanu13 pdf 2 quiz 5 https docs google com forms d e 1faipqlsdb85h3qmmgdyjhg4ohqagvj5aamro3chqpaa9d vygtcoolq viewform due on march 9th 9am moscow time 3 quiz 6 https forms gle b1a9sjvthfslfbkf8 due on march 17th 10am moscow time now that the official course repo https github com deep nlp spring 2020 deep nlp is constantly updated better to follow that one | ai |
|
exere | exere small and agile development tools to help the forensic analysis of mobile devices by nomed1 and jose arquillo module 5 exere hasheator py calculate checksum sha2 256 all files recursively in a folder usage python hasheator py h python exere hasheator py d path folder to hash vista module5 images module5 png exere hasehator py module 13 exere ios2files py expand a copy of a non encryption itunes backup up ios 10 to a readable and navigable structure usage python3 exere ios2files py h python3 exere ios2files py f path manifest db vista module13 images module13 png exere ios2files py module 14 exere fix adb py this is an ad hoc solution for fix your smartphone detection if crossing adb failed or not recognize usage sudo python exere fix adb py vista module14 images module14 png exere fix adb py | front_end |
|
MovieReviewApp | moviereviewapp simple movie review app created using flutter and java spring boot backend with mongodb using the rest api demonstrates a good understanding of full stack application development usage of the rest api and a decent understanding of react and spring frameworks | server |
|
ml-videos | machine learning videos this is a collection of recorded talks at machine learning conferences workshops seminars summer schools and miscellaneous programs it is actively maintained please add to this list by submitting a pull request this collection builds off the original compilation from a blog post http dustintran com blog video resources for machine learning general in general the following are excellent resources videolectures net http videolectures net is the primary video archive for machine learning much of its content focuses on the field incorporating conferences workshops lectures and even discussions techtalks tv http techtalks tv is the second most used archive notably many icml videos are located here slideslive https slideslive com is recently being used by the ml community eg icml neurips iclr youtube http youtube com contains a few such as certain aistats and iclr years it s best for collecting lectures such as by nando de freitas https www youtube com playlist list ple6wd9fr efw8dtjaupotupcqmov53fu and alex smola https www youtube com playlist list plzso 6 bsqhttv7w9u7grtxbhmh mw3qn also the user mathematicalmonk https www youtube com user mathematicalmonk has created several basic mathematical and probability overviews for many ml methods https www youtube com playlist list pld0f06aa0d2e8ffba models inference algorithms https www broadinstitute org scientific community science mia models inference algorithms at the broad institute of mit and harvard has slide decks and a growing playlist https www youtube com playlist list pllmmtlgw6qnjroomntbqjacdx53kv50cs on machine learning for biomedical research 2020 conference on learning theory https www youtube com playlist list plchbdlwr7ryw4lagsurclamyrnbf9pttt conference on computer vision and pattern recognition papers workshops tutorials https www youtube com channel uc0n76gicaarsn y9yshwwhw playlists international conference on machine learning https slideslive com icml 2020 international conference on learning representations keynote q a https iclr cc virtual 2020 calendar html papers https iclr cc virtual 2020 papers html filter keywords aaai conference on artificial intelligence https aaai org conferences aaai 20 livestreamed talks 2019 neural information processing systems papers tutorials and workshops https slideslive com neurips cognitive computational neuroscience https ccneuro org 2019 videos asp annual conference of the north american chapter of the association for computational linguistics https vimeo com channels 1503729 international joint conference on artificial intelligence https www facebook com pg ijcai videos conference on learning theory https www youtube com playlist list plchbdlwr7ryz4jx6npdni 1rp3kj0e3g8 international conference on computer vision oral session https www youtube com channel uc0n76gicaarsn y9yshwwhw videos conference on computer vision and pattern recognition oral session https www youtube com channel uc0n76gicaarsn y9yshwwhw videos international conference on machine learning https www facebook com pg icml imls videos alternate link 1 https slideslive com icml learning for dynamics and control https l4dc mit edu videos international conference on learning representations https www facebook com pg iclr cc videos ref page internal workshops https slideslive com iclr aaai conference on artificial intelligence https videos videoken com index php videoscategory aaai 2019 2018 cognitive computational neuroscience https ccneuro org 2018 videos asp empirical methods on natural language processing https vimeo com channels 1427394 annual meeting of the association for computational linguistics https vimeo com showcase 5391494 neural information processing systems workshop security in machine learning https www youtube com playlist list plfg9vaktejq4ipoje38ywa9uqu coenve neural information processing systems tutorials spotlights and posters https nips cc conferences 2018 videos international conference on probabilistic programming https www youtube com playlist list pl pw0e tf2qvxbepl10y39rultn exzzq deep bayes summer school on deep learning and bayesian methods moscow https www youtube com playlist list ple5rnuydzv9q01vwcp9bv7nhjg3j7mz62 deep learning summer school and reinforcement learning summer school toronto http videolectures net dlrlsummerschool2018 toronto conference on learning theory https www youtube com playlist list plchbdlwr7ryzmjogtatlitehisi5sbnfh montreal ai symposium http montrealaisymposium com aaai conference on artificial intelligence https www youtube com playlist list pl 9a5ic6guim0hb71cilhmqwfdkiwz mg annual meeting of the cognitive science society https cogsci tv category cogsci2018 pswd cogscitv annual conference of the north american chapter of the association for computational linguistics https vimeo com channels naacl2018 videos international joint conference on artificial intelligence https www facebook com pg ijcaiconf videos international conference on machine learning https www facebook com pg icml imls videos conference on computer vision and pattern recognition https www youtube com playlist list pl bdvituyuccit8ingw8zcxey5 u6hg y tutorials https www youtube com playlist list pl bdvituyucd54ym5xkgqtv9xnsrox0as workshops https www youtube com playlist list pl bdvituyucb5y7d9kbroetrblre4iur7 international conference on learning representations https www facebook com pg iclr cc posts data learning and inference https www youtube com playlist list pl twvtpyd1vd0d5lxqs53qlqm0fxocc17 including workshops 1 https www youtube com watch v d6uqgwbgmgc list pl twvtpyd1vcxhzk7oicb74 mvrh9ea3c 2 https www youtube com watch v 2vxzbzc21gg list pl twvtpyd1valbzhcpljlred76nlo1poo tensorflow dev summit https www youtube com playlist list plqy2h8rroyvxjvx3zfw4va4cvlkogylnn scaled machine learning https www matroid com blog post slides and videos from scaledml 2018 sysml conference https www youtube com channel uchutdkia ayyambt45s991g videos disable polymer 1 2017 annual meeting of the association for computational linguistics https vimeo com channels acl2017 montreal ai symposium morning session https www youtube com watch v 02xikhowqok afternoon session https www youtube com watch v cdckweftt6m aaai conference on artificial intelligence http videolectures net aaai2017 sanfrancisco annual meeting of the cognitive science society https cogsci tv category cogsci2017 pswd cogscitv ai by the bay https www youtube com playlist list plnesult6cnok3q8tjfsiwy49fz37l0wzu international conference on machine learning tutorials invited talks and papers https icml cc conferences 2017 videos neural information processing systems workshop deep learning for physical sciences https www youtube com playlist list pl6 fd5q0zqxshmfjcsbaa5jglf62ct4vm neural information processing systems workshop approximate inference https www youtube com playlist list plsatqfvo0v3suhi3ijrme9myqwll5eoig machine learning summer school t bingen germany https www youtube com playlist list plqjm7rc5 exfuovoycdkikfck8yeucnl9 speech and audio in the northeast https www youtube com playlist list plbjwrpcgwk7tnlabvu s90zqsblo3bwjg neural information processing systems tutorials invited talks papers and symposiums https nips cc conferences 2017 videos international conference on learning representations https www facebook com pg iclr cc videos ref page internal deep learning theory algorithms and applications https www youtube com playlist list pljozdkh8t5kqcnv v1w2tapvtjdzyiohw deep reinforcement learning bootcamp https sites google com view deep rl bootcamp lectures cognitive computational neuroscience http ccneuro org 2017videos gaussian process summer school sheffield http gpss cc gpss17 program empirical methods on natural language processing https vimeo com channels emnlp2017 deep learning summer school and reinforcement learning summer school montreal http videolectures net deeplearning2017 montreal computer vision and pattern recognition spotlights orals and tutorials https www youtube com channel uc0n76gicaarsn y9yshwwhw playlists gpu technology conference http on demand gtc gputechconf com gtc quicklink g6vqzti data learning and inference workshop data efficient reinforcement learning https www youtube com playlist list pl twvtpyd1vavdpxukup6w suzqq7e8k8 edinburgh deep learning workshop http workshops inf ed ac uk deep deep2017 workshop on validating and expanding approximate bayesian computation methods http www birs ca events 2017 5 day workshops 17w5025 videos tensorflow dev summit https www youtube com playlist list plou2xlyxmsikgc nboihtn2qhraji53cv foundations of machine learning boot camp simons institute https simons berkeley edu workshops schedule 3748 stancon https www youtube com watch v dj0c7bm5djk 2016 empirical methods on natural language processing https vimeo com channels emnlp2016 aaai conference on artificial intelligence http videolectures net aaai2016 phoenix european conference on computer vision http videolectures net eccv2016 amsterdam computer vision and pattern recognition https www youtube com channel uc0n76gicaarsn y9yshwwhw playlists neural information processing systems workshop nonconvex optimization theory and practice https www youtube com playlist list plskatb2vk5tatpjb vtgguwms89gvznn0 neural information processing systems symposium rnn and other machines that learn algorithms https www youtube com playlist list plpwzh56rdmq4hcuemtvbgxurcq4cakosc neural information processing systems workshop bayesian deep learning https www youtube com playlist list plrcr1zcplzb7paw9lngx zscr pstjbm6 neural information processing systems workshop reliable machine learning in the wild https sites google com site wildml2016nips schedule neural information processing systems workshop approximate inference https www youtube com playlist list pl8yb49e5zfuztzy4wzrp xij6preg3pw8 neural information processing systems workshop adversarial training https www youtube com playlist list pljscn9ydd1buxcitmej1pjjkr5pmhentf neural information processing systems https nips cc conferences 2016 schedule bay area deep learning school https www bayareadlschool org deep learning tools and methods workshop https portal klewel com watch webcast deep learning tools and methods workshop knowledge discovery and data mining https www youtube com channel ucpsuudulctjup fra7z85aq playlists deep learning summer school montreal http videolectures net deeplearning2016 montreal uncertainty in computation simons institute https simons berkeley edu workshops logic2016 1 machine learning summer school peru http www ucsp edu pe ciet mlss16 speakers html international conference on machine learning http techtalks tv icml 2016 machine learning summer school cadiz http learning mpi sws org mlss2016 videos international conference on learning representations http videolectures net iclr2016 san juan 2015 empirical methods on natural language processing https vimeo com channels emnlp2015 computer vision and pattern recognition http techtalks tv cvpr 2015 international conference on computer vision http videolectures net iccv2015 santiago neural information processing systems https nips cc conferences 2015 schedule gaussian process summer school sheffield https www youtube com playlist list plhohezljjdqjlruse9 55exkwnxktinqf deep learning summer school montreal http videolectures net deeplearning2015 montreal international conference on machine learning http videolectures net icml2015 lille uncertainty in artificial intelligence https www youtube com channel ucxdf7y4kmcqpwhriorcmdng videos arthur m sackler colloquia drawing causal inference from big data https www youtube com playlist list plgjm1x3xqek0ngfox2z7wt p5ru5zv0hv international conference on learning representations https www youtube com playlist list plhiwxatdswb8pnrvzquvyqlrfwxm4ijyz conference on learning theory http videolectures net colt2015 paris machine learning summer school t bingen http mlss tuebingen mpg de 2015 speakers html machine learning summer school sydney https www youtube com channel uct1k2e63pqm vsxmaf21n6g videos 2014 computer vision and pattern recognition oral http techtalks tv cvpr 2014 oral talks computer vision and pattern recognition spotlights http techtalks tv cvpr 2014 video highlights european conference on computer vision http videolectures net eccv2014 zurich utoronto workshop on big data and statistical machine learning http www fields utoronto ca video archive event 316 2014 neural information processing systems https nips cc conferences 2014 schedule gaussian process summer school sheffield https www youtube com playlist list plhohezljjdqkgrpk70ym04ju3 9w qxns machine learning summer school pittsburgh https www youtube com playlist list plzso 6 bsqhqciyxe3ycglxhmjk3xv7iz international conference on machine learning http techtalks tv icml2014 conference on learning theory http videolectures net colt2014 barcelona artificial intelligence and statistics https www youtube com channel ucqes3l6d s6zecqchfyk5uw 2013 international conference on computer vision http techtalks tv iccv2013 gaussian process winter school sheffield https www youtube com playlist list plhohezljjdqki1cs5ypruydgcse0hctoq machine learning summer school iceland https www youtube com channel uc3ywjsv5osdidanop8c1niq neural information processing systems https nips cc conferences 2013 schedule neural information processing systems workshops http videolectures net nipsworkshops2013 laketahoe international conference on machine learning http techtalks tv icml2013 machine learning summer school t bingen https www youtube com playlist list plqjm7rc5 exfv6rxapzzzlzo93hl0v91e conference on learning theory http videolectures net colt2013 princeton harvard institute for quantitative social science applied statistics workshop https www youtube com playlist list pllokvrqqvbti zhbpbrkt2kllp5dh8o0m 2012 brown icerm workshops https icerm brown edu video archive the 2012 bayesian nonparametrics https icerm brown edu sp f12 w1 is particularly good neural information processing systems http videolectures net nips2012 laketahoe uncertainty in artificial intelligence http videolectures net uai2012 catalinaislands international conference on machine learning http techtalks tv search results q icml 2012 aaai conference on artificial intelligence http videolectures net aaai2012 toronto 2011 neural information processing systems http videolectures net nips2011 granada neural information processing systems workshops http videolectures net nipsworkshops2011 sierranevada uncertainty in artificial intelligence http videolectures net uai2011 barcelona conference on learning theory http videolectures net colt2011 budapest artificial intelligence and statistics http videolectures net aistats2011 fortlauderdale 2010 neural information processing systems http videolectures net nips2010 vancouver international conference on machine learning http videolectures net icml2010 haifa artificial intelligence and statistics http videolectures net aistats2010 sardinia 2009 neural information processing systems http videolectures net nips09 vancouver machine learning summer school cambridge http videolectures net mlss09uk cambridge international conference on machine learning http videolectures net icml09 montreal 2008 knowledge discovery and data mining http videolectures net kdd08 las vegas uncertainty in artificial intelligence http videolectures net uai08 helsinki international conference on machine learning http videolectures net icml08 helsinki 2007 international conference on machine learning http videolectures net icml07 corvallis 2006 neural information processing systems http videolectures net nips06 whistler 2005 neural information processing systems workshop kernels http videolectures net nips05 whistler international conference on machine learning http videolectures net icml05 bonn | machine-learning video workshops summer-schools conference statistics | ai |
tsu-resume-page | tsu resume page a simple resume page for tsheets u intro to web development | front_end |
|
web-mobile-development | web mobile development web web h5 http xuejiawei coding me web mobile development shopping begin html qq http xuejiawei coding me web mobile development qqitem signup html | front_end |
|
smarthome | this project is archived eclipse smarthome build instructions thanks for your interest in the eclipse smarthome project building and running the project is fairly easy if you follow the steps detailed below please note that eclipse smarthome is not a product itself but a framework to build solutions on top this means that what you build is primarily an artifact repository of osgi bundles that can be used within smart home products besides this repository a vscode extension is available for editing configuration files with full ide support 1 prerequisites the build infrastructure is based on maven in order to make it as easy as possible to get up to speed if you know maven already then there won t be any surprises for you if you have not worked with maven yet just follow the instructions and everything will miraculously work what you need before you start maven3 from http maven apache org download html make sure that the mvn command is available on your path 2 checkout checkout the source code from github e g by running git clone https github com eclipse smarthome git 3 building with maven to build eclipse smarthome from the sources maven takes care of everything set maven opts to xms512m xmx1024m change into the smarthome directory cd smarthome run mvn clean install to compile and package all sources if there are tests that are failing occasionally on your local build run mvn dskiptests true clean install instead to skip them the p2 repository that contains all bundles as a build result will be available in the folder products org eclipse smarthome repo target | eclipseiot iot smarthome home-automation internet-of-things java | server |
web-dev-2022 | web development 2022 looking to hone your skills as a web developer become a stronger software engineer and implement modern industry practices we are a group of software engineers and teaching fellows fullstack academy https www fullstackacademy com passionate about education this repository contains source code assets and videos for our live workshops held on december 2021 our lineup consists of react hooks https github com iseykim react hooks portfolio building with gatsby js https github com amberabreu codyportfolio boilerplate git workflow project management wireframing and prototyping in figma firebase https github com margaritadanshina todo firebase ethics in engineering patterns in algorithm datastructure setup this repository uses git subtree to pull from remote repositories into a centralized origin to pull latest changes simply run the git pull script bash give execute permission chmod x pull repos run the command pull repos usage we will be doing live demos and pushing changes from our respective workshop and remote repository as such it is recommended to sandbox your own modification and exploration in a separate branch to keep the merge strategy straightforward for instance if you want to follow along with the react hooks demo make a branch first at the end of the workshop switch to main and run pull repos who we are sey kim www linkedin com in sey kim danny lahamar www linkedin com in daniellahamar amberabreu https www linkedin com in amber abreu | front_end |
|
steamstat.us | steamstat us frontend license mit license country flags svg country flags are from twemoji https github com twitter twemoji which are licensed under cc by 4 0 | steam status monitoring | front_end |
wifidog-gateway | wifidog build status https travis ci org wifidog wifidog gateway svg branch master https travis ci org wifidog wifidog gateway coverity scan build status https scan coverity com projects 4595 badge svg https scan coverity com projects 4595 the wifi guard dog project is a complete and embeddable captive portal solution for wireless community groups or individuals who wish to open a free hotspot while still preventing abuse of their internet connection more information and the old issue tracker can be found on dev wifidog org homepage nowadays development happens on github github wifidog gateway wifidog consists of two parts auth server client daemon the gateway this repository contains the client daemon the client typically runs on embedded hardware e g the hotspot itself the client is responsible for redirecting the user to the auth server where they may authenticate themselves depending on the response of the auth server the client lifts the access restrictions for the user client and server speak the wifidog protocol version 1 protov1 with version 2 being a draft which has not been implemented so far a detailed description of the login process involving user client and server is available as a flow diagram flowdia install see the faq faq contributing see readme developers txt devdoc license the project s software is released under the gpl license and is copyrighted by its respective owners see copying for details homepage http dev wifidog org github https github com wifidog protov1 http dev wifidog org wiki doc developer wifidogprotocol v1 flowdia http dev wifidog org wiki doc developer flowdiagram devdoc doc readme developers txt faq faq | os |
|
Swift-CS333 | swift cs333 sfedu mmcs cs333 mobile development more at https xivol github io swift cs333 | learning swift | front_end |
dcrdesign | dcrdesign helps with practices coordination maintaince accessibility and scaling of decred projects design outputs dcr design domain consists of ux ui identity and visual communications sub domains this repo s functions are following communicating dcr design contributors current tasks and forming high level overviews using gh s built in pm features coordinating work and syncing up with designers developers and other contributors posting deliverables and reports for archiving providing a central location for cross referencing design related issues or questions through out the ecosystem accepting and reviewing requests identity visual comms identity and visual comms guidelines https www figma com community file 1061668583018624783 decred logo assets all formats via figma export https www figma com file igi4pdxlhhtigydif9a2ir dcr design guidelines id and visual comms node id 2 3a1570 politeia logo assets all formats via figma export https www figma com file igi4pdxlhhtigydif9a2ir dcr design guidelines id and visual comms node id 2 3a1571 dcrdex logo assets all formats via figma export https www figma com file igi4pdxlhhtigydif9a2ir dcr design guidelines id and visual comms node id 2 3a1571 icon library https www figma com file igi4pdxlhhtigydif9a2ir dcr design guidelines id and visual comms node id 2 3a7429 animation library https lottiefiles com decred ui ux decrediton pi ui figma master file https www figma com file eanubqjmps8emqy26j9zwo decred piui decrediton politeia pi ui figma master file https www figma com file 1psibjb3coxw39ijjvzxj8 decred piui politeia cms pi ui figma master file https www figma com file ruzhkko9fujkqlqgbupjhl decred piui cms dcrweb figma master file v013 https www figma com file xcvwifimhn1zbouygj6qin dcrweb visual design dcrmaterial components https www figma com file dmanxan2ea4drohbuvmemh components icons https www figma com file b4ofe2kmyh9vxlzadpwyab icons colors https www figma com file 8agawq4zsnpyzpktnd5guw colors godcr dcrmaterial figma master file https www figma com file hlouexhluhjsq11dx4dcn8 godcr master drafts https www figma com file rz4j3nloimw6s5esmceurv godcr draft dcrmobile dcrmaterial dcrancroid sketch export https www figma com file ces7rytrue3phzvzgsmwyl dcrandroid sketch export dcrios sketch export https www figma com file fby53ibhzd90kgnachza4x dcrios sketch export send https www figma com file stdtmffc8zyoqpsyynrxp3 f0 9f 9a a7 send totals https www figma com file bjherfmrh1idneygqsaksn total usd overview node id 0 3a1 stakeshuffle https www figma com file xot9sikjdnkzo05o5jhdyt stakeshuffle launch https www figma com file kz3avglgdzkwyfn7idkg10 f0 9f 9a a7 launch detailed list of assets can be found in latest releases https github com decred dcrdesign releases use practice use matrix design and projects ops channels for quick and temporary communications and general discussions around work design ops individual contributors also often use other means like telegram for regular comms post tasks and projects for coordination on the relevant project boards new items should be started by posting issue or note on relevant project board if this is used when doing confidential work post the published result into the completed board and document it within an issue e g short delivery report preview links work files or assets post delivery reports assets and other references as comments within issues use labels to improve organisation between issues https image ibb co myfno8 screen shot 2018 05 18 at 20 27 30 png https image ibb co jdxwvo screen shot 2018 05 26 at 19 33 22 png if you are working on visual motion design or illustration tasks for general visual communication e g promotion marketing instructions using only dcrdesign repo and matrix will cover most of the productivity needs if you are working on ui ux side of different decred products and platforms the relevant products repositories and dcrdesign should be regularily used and cross referenced to keep all parties in sync while different product repos have various use practices levels organisation and activity the dcrdesign s is to bridge gaps between design practices and progress and it s appliances across the products and development typically issues to product repos ie new implementations should be kept short and concise and broken up into well mangable parts if needed the issues in dcrdesign should be for tracking progress covering extensive details and archiving thus can be larger in size as a rule of thumb needless double posting should be avoided though | os |
|
DueFreeRTOS | duefreertos freertos port for the arduino due at91sam3x8e to be used in combination with arduino ide based on freertos 10 1 1 and the freertos arduino https github com greiman freertos arduino port | os |
|
EconomicAgents | economicagents this is an implementation and python package for the paper large language models as simulated economic agents what can we learn from homo silicus https arxiv org abs 2301 07543 this python package enables you to run all four simulations from the paper if you like this work consider joining our discord https img shields io badge discord 7289da style for the badge logo discord logocolor white https discord gg qy69gzmpt4 installation sh pip install economic agents usage charness rabin python from economic agents import charnessrabin charness rabin charnessrabin api key openai key model gpt 3 5 turbo personality 1 image path folder charness rabin logging true results charness rabin play charness rabin create plot results the personality argument determines an option from the following personalities from the original paper txt you only care about fairness between players you only care about your own pay off you only care about the total pay off of both players result rabin results results charness rabin png horton python from economic agents import horton horton horton api key openai key model gpt 3 5 turbo image path folder horton logging true results horton play horton create plot results result horton results results horton png kahneman python from economic agents import kahneman kahneman kahneman api key openai key model gpt 3 5 turbo image path results kahneman logging true results kahneman play kahneman create plot results result kahneman results results kahneman png zeckhauser python from economic agents import zeckhauser zeckhauser zeckhauser api key openai key model gpt 3 5 turbo image path results zeckhauser logging true results zeckhauser play zeckhauser create plot results result zeckhauser results results zeckhauser png todo create a gradio demo make experiments possible with dynamic inputs improve error handling code refactoring add support for other models citation bibtex article horton2023large title large language models as simulated economic agents what can we learn from homo silicus author horton john j journal arxiv preprint arxiv 2301 07543 year 2023 | artificial-intelligence economics game-theory research simulations | ai |
turicreate | quick links installation supported platforms documentation documentation build status https travis ci com apple turicreate svg branch master pypi release https img shields io pypi v turicreate svg python versions https img shields io pypi pyversions turicreate svg img align right src https docs assets developer apple com turicreate turi dog svg alt turi create width 100 turi create turi create simplifies the development of custom machine learning models you don t have to be a machine learning expert to add recommendations object detection image classification image similarity or activity classification to your app easy to use focus on tasks instead of algorithms visual built in streaming visualizations to explore your data flexible supports text images audio video and sensor data fast and scalable work with large datasets on a single machine ready to deploy export models to core ml for use in ios macos watchos and tvos apps with turi create you can accomplish many common ml tasks ml task description recommender https apple github io turicreate docs userguide recommender personalize choices for users image classification https apple github io turicreate docs userguide image classifier label images drawing classification https apple github io turicreate docs userguide drawing classifier recognize pencil touch drawings and gestures sound classification https apple github io turicreate docs userguide sound classifier classify sounds object detection https apple github io turicreate docs userguide object detection recognize objects within images one shot object detection https apple github io turicreate docs userguide one shot object detection recognize 2d objects within images using a single example style transfer https apple github io turicreate docs userguide style transfer stylize images activity classification https apple github io turicreate docs userguide activity classifier detect an activity using sensors image similarity https apple github io turicreate docs userguide image similarity find similar images classifiers https apple github io turicreate docs userguide supervised learning classifier html predict a label regression https apple github io turicreate docs userguide supervised learning regression html predict numeric values clustering https apple github io turicreate docs userguide clustering group similar datapoints together text classifier https apple github io turicreate docs userguide text classifier analyze sentiment of messages example image classifier with a few lines of code if you want your app to recognize specific objects in images you can build your own model with just a few lines of code python import turicreate as tc load data data tc sframe photolabel sframe create a model model tc image classifier create data target photolabel make predictions predictions model predict data export to core ml model export coreml myclassifier mlmodel it s easy to use the resulting model in an ios application https developer apple com documentation vision classifying images with vision and core ml p align center img src https docs assets developer apple com published a2c37bce1f 689f61a6 1087 4112 99d9 bbfb326e3138 png alt turi create width 600 p supported platforms turi create supports macos 10 12 linux with glibc 2 10 windows 10 via wsl system requirements turi create requires python 2 7 3 5 3 6 3 7 3 8 x86 64 architecture at least 4 gb of ram installation for detailed instructions for different varieties of linux see linux install md linux install md for common installation issues see install issues md install issues md we recommend using virtualenv to use install or build turi create shell pip install virtualenv the method for installing turi create follows the standard python package installation steps https packaging python org installing to create and activate a python virtual environment called venv follow these steps shell create a python virtual environment cd virtualenv venv activate your virtual environment source venv bin activate alternatively if you are using anaconda https www anaconda com what is anaconda you may use its virtual environment shell conda create n virtual environment name anaconda conda activate virtual environment name to install turi create within your virtual environment shell venv pip install u turicreate documentation the package user guide https apple github io turicreate docs userguide and api docs https apple github io turicreate docs api contain more details on how to use turi create gpu support turi create does not require a gpu but certain models can be accelerated 9 13x by utilizing a gpu linux macos 10 13 macos 10 14 discrete gpus macos 10 15 integrated gpus activity classification image classification activity classification drawing classification image similarity object detection image classification sound classification one shot object detection image similarity style transfer object detection one shot object detection sound classification style transfer macos gpu support is automatic for linux gpu support see linuxgpu md linuxgpu md building from source if you want to build turi create from source see build md build md contributing prior to contributing please review contributing md contributing md and do not provide any contributions unless you agree with the terms and conditions set forth in contributing md contributing md we want the turi create community to be as welcoming and inclusive as possible and have adopted a code of conduct code of conduct md that we expect all community members including contributors to read and observe | machine-learning deep-learning python | ai |
anvil | anvil image of anvil https github com irontec anvil blob master anvil png beta software for mobile like navigation emulation this software emualtes our soon to be released multi webview enviroment for android ios and windows phone the soon to be released js app is based on angular and ionic framework a few ng services still in alpha | front_end |
|
codesandbox-client | p align center a href https codesandbox io img src https codesandbox io static img banner png v 2 height 300px a p nbsp all contributors https img shields io badge all contributors 153 orange svg style flat square contributors circleci https circleci com gh codesandbox codesandbox client svg style svg https circleci com gh codesandbox codesandbox client browserstack status https www browserstack com automate badge svg badge key cvjuczljwutqwxhibfn1zjvqekf4nznsd3phnezraglwu0phyvvkdgrfwt0tlxfttvhaowrysmn0zg5qvdndq0g5z0e9pq 79fe3eae4f149a400d396c9b12d3988f685785cf https www browserstack com automate public build cvjuczljwutqwxhibfn1zjvqekf4nznsd3phnezraglwu0phyvvkdgrfwt0tlxfttvhaowrysmn0zg5qvdndq0g5z0e9pq 79fe3eae4f149a400d396c9b12d3988f685785cf prs welcome https img shields io badge prs welcome brightgreen svg style flat square http makeapullrequest com first timers only friendly https img shields io badge first timers only friendly blue svg http www firsttimersonly com lerna https img shields io badge maintained 20with lerna cc00ff svg https lerna js org an instantly ready full featured online ide for web development on any device with a browser enabling you to start new projects quickly and prototype rapidly with codesandbox you can create web apps experiment with code test ideas and share creations easily other codesandbox repositories codesandbox consists of several separate servers some of which are open sourced client the web application server the phoenix https github com phoenixframework phoenix api server nginx nginx config files git extractor https github com codesandbox codesandbox importers responsible for extracting the source from a github repository cli https github com codesandbox codesandbox importers tree master packages cli the cli to upload a codesandbox project from your command line documentation you can find our documentation on our website https codesandbox io docs learn introduction overview contributors thanks goes to these wonderful people emoji key https github com all contributors all contributors emoji key all contributors list start do not remove or modify this section prettier ignore start markdownlint disable table tr td align center a href http ivesvh com img src https avatars0 githubusercontent com u 587016 v 3 width 100px alt ives van hoorne br sub b ives van hoorne b sub a br a href question compuives title answering questions a a href blog compuives title blogposts a a href https github com codesandbox codesandbox client issues q author 3acompuives title bug reports a a href https github com codesandbox codesandbox client commits author compuives title code a a href design compuives title design a a href https github com codesandbox codesandbox client commits author compuives title documentation a a href example compuives title examples a a href infra compuives title infrastructure hosting build tools etc a a href review compuives title reviewed pull requests a a href https github com codesandbox codesandbox client commits author compuives title tests a a href tool compuives title tools a td td align center a href http donavon com img src https avatars0 githubusercontent com u 887639 v 3 width 100px alt donavon west br sub b donavon west b sub a br a href https github com codesandbox codesandbox client commits author donavon title code a td td align center a href http www jeffallen io img src https avatars0 githubusercontent com u 5266810 v 3 width 100px alt jeff allen br sub b jeff allen b sub a br a href https github com codesandbox codesandbox client commits author vueu title code a td td align center a href https github com bengummer img src https avatars0 githubusercontent com u 1089897 v 3 width 100px alt ben gummer br sub b ben gummer b sub a br a href https github com codesandbox codesandbox client commits author bengummer title code a td td align center a href http twitter com faceyspacey img src https avatars3 githubusercontent com u 154732 v 3 width 100px alt james gillmore br sub b james gillmore b sub a br a href https github com codesandbox codesandbox client commits author faceyspacey title code a a href https github com codesandbox codesandbox client issues q author 3afaceyspacey title bug reports a td td align center a href https github com viankakrisna img src https avatars1 githubusercontent com u 9636410 v 4 width 100px alt ade viankakrisna fadlil br sub b ade viankakrisna fadlil b sub a br a href https github com codesandbox codesandbox client commits author viankakrisna title code a td td align center a href https twitter com tushkiz img src https avatars1 githubusercontent com u 1854763 v 4 width 100px alt tushar sonawane br sub b tushar sonawane b sub a br a href question tushkiz title answering questions a a href https github com codesandbox codesandbox client commits author tushkiz title code a a href https github com codesandbox codesandbox client commits author tushkiz title documentation a a href ideas tushkiz title ideas planning feedback a td tr tr td align center a href https github com johann sonntagbauer img src https avatars3 githubusercontent com u 1239401 v 4 width 100px alt johann hubert sonntagbauer br sub b johann hubert sonntagbauer b sub a br a href https github com codesandbox codesandbox client issues q author 3ajohann sonntagbauer title bug reports a a href https github com codesandbox codesandbox client commits author johann sonntagbauer title code a td td align center a href https github com jseminck img src https avatars2 githubusercontent com u 9586897 v 4 width 100px alt joachim seminck br sub b joachim seminck b sub a br a href https github com codesandbox codesandbox client commits author jseminck title code a td td align center a href http chakrihacker github io img src https avatars3 githubusercontent com u 5210019 v 4 width 100px alt subramanya chakravarthy br sub b subramanya chakravarthy b sub a br a href https github com codesandbox codesandbox client commits author chakrihacker title code a td td align center a href http robby oconnor ninja img src https avatars3 githubusercontent com u 23088 v 4 width 100px alt robert robby o connor br sub b robert robby o connor b sub a br a href infra robbyoconnor title infrastructure hosting build tools etc a td td align center a href https github com lbogdan img src https avatars0 githubusercontent com u 2083930 v 4 width 100px alt bogdan luca br sub b bogdan luca b sub a br a href https github com codesandbox codesandbox client issues q author 3albogdan title bug reports a a href https github com codesandbox codesandbox client commits author lbogdan title code a td td align center a href http bogas04 github io img src https avatars3 githubusercontent com u 6177621 v 4 width 100px alt divjot singh br sub b divjot singh b sub a br a href https github com codesandbox codesandbox client commits author bogas04 title code a td td align center a href http www jsonnull com img src https avatars3 githubusercontent com u 5249539 v 4 width 100px alt jason nall br sub b jason nall b sub a br a href https github com codesandbox codesandbox client commits author jsonnull title code a td tr tr td align center a href https elrumordelaluz com img src https avatars3 githubusercontent com u 784056 v 4 width 100px alt lionel br sub b lionel b sub a br a href https github com codesandbox codesandbox client commits author elrumordelaluz title code a a href design elrumordelaluz title design a td td align center a href https github com brumm img src https avatars3 githubusercontent com u 170500 v 4 width 100px alt philipp brumm br sub b philipp brumm b sub a br a href https github com codesandbox codesandbox client commits author brumm title code a td td align center a href http valentin hervieu fr img src https avatars2 githubusercontent com u 2678610 v 4 width 100px alt valentin hervieu br sub b valentin hervieu b sub a br a href https github com codesandbox codesandbox client commits author valentinh title code a a href https github com codesandbox codesandbox client issues q author 3avalentinh title bug reports a td td align center a href http anenth js org img src https avatars0 githubusercontent com u 1499218 v 4 width 100px alt anenth br sub b anenth b sub a br a href https github com codesandbox codesandbox client commits author anenth title code a a href design anenth title design a a href ideas anenth title ideas planning feedback a td td align center a href http dsds io img src https avatars0 githubusercontent com u 410792 v 4 width 100px alt dony sukardi br sub b dony sukardi b sub a br a href https github com codesandbox codesandbox client issues q author 3adonysukardi title bug reports a a href https github com codesandbox codesandbox client commits author donysukardi title code a td td align center a href https github com duivvv img src https avatars3 githubusercontent com u 89046 v 4 width 100px alt geoffrey dhuyvetters br sub b geoffrey dhuyvetters b sub a br a href design duivvv title design a a href https github com codesandbox codesandbox client commits author duivvv title code a td td align center a href http nyaganti com img src https avatars3 githubusercontent com u 3381746 v 4 width 100px alt eswar yaganti br sub b eswar yaganti b sub a br a href https github com codesandbox codesandbox client commits author nagamalli9999 title code a a href infra nagamalli9999 title infrastructure hosting build tools etc a td tr tr td align center a href https github com tansongyang img src https avatars3 githubusercontent com u 9488719 v 4 width 100px alt frank tan br sub b frank tan b sub a br a href https github com codesandbox codesandbox client commits author tansongyang title code a td td align center a href https bilalbudhani com img src https avatars0 githubusercontent com u 1650995 v 4 width 100px alt bilal budhani br sub b bilal budhani b sub a br a href https github com codesandbox codesandbox client commits author bilalbudhani title code a td td align center a href https github com julianmayorga img src https avatars3 githubusercontent com u 843342 v 4 width 100px alt el juli br sub b el juli b sub a br a href https github com codesandbox codesandbox client commits author julianmayorga title code a td td align center a href https github com arthurdenner img src https avatars0 githubusercontent com u 13774309 v 4 width 100px alt arthur denner br sub b arthur denner b sub a br a href https github com codesandbox codesandbox client commits author arthurdenner title code a a href https github com codesandbox codesandbox client commits author arthurdenner title documentation a td td align center a href https github com rsg group img src https avatars3 githubusercontent com u 12954909 v 4 width 100px alt radi cho br sub b radi cho b sub a br a href https github com codesandbox codesandbox client issues q author 3aradi cho title bug reports a a href https github com codesandbox codesandbox client commits author radi cho title code a a href ideas radi cho title ideas planning feedback a td td align center a href https twitter com chxy img src https avatars3 githubusercontent com u 679275 v 4 width 100px alt xiaoyi chen br sub b xiaoyi chen b sub a br a href https github com codesandbox codesandbox client commits author xyc title code a td td align center a href https twitter com gautam img src https avatars3 githubusercontent com u 1215971 v 4 width 100px alt gautam arora br sub b gautam arora b sub a br a href https github com codesandbox codesandbox client commits author gautamarora title code a a href ideas gautamarora title ideas planning feedback a td tr tr td align center a href https twitter com haroenv img src https avatars3 githubusercontent com u 6270048 v 4 width 100px alt haroen viaene br sub b haroen viaene b sub a br a href https github com codesandbox codesandbox client commits author haroenv title code a a href design haroenv title design a td td align center a href https nicknisi com img src https avatars1 githubusercontent com u 293805 v 4 width 100px alt nick nisi br sub b nick nisi b sub a br a href https github com codesandbox codesandbox client commits author nicknisi title code a td td align center a href https github com jakhotiya img src https avatars2 githubusercontent com u 9327315 v 4 width 100px alt abhishek jakhotiya br sub b abhishek jakhotiya b sub a br a href https github com codesandbox codesandbox client commits author jakhotiya title code a a href https github com codesandbox codesandbox client issues q author 3ajakhotiya title bug reports a td td align center a href http twitter com tomkuehl img src https avatars2 githubusercontent com u 14299145 v 4 width 100px alt tom k hl br sub b tom k hl b sub a br a href https github com codesandbox codesandbox client commits author tomkuehl title code a td td align center a href https github com br1anchen img src https avatars2 githubusercontent com u 1086461 v 4 width 100px alt br1anchen br sub b br1anchen b sub a br a href https github com codesandbox codesandbox client commits author br1anchen title code a td td align center a href https arthelon github io img src https avatars3 githubusercontent com u 11952174 v 4 width 100px alt daniel hsing br sub b daniel hsing b sub a br a href https github com codesandbox codesandbox client commits author arthelon title code a td td align center a href https twitter com maciejka img src https avatars2 githubusercontent com u 5403694 v 4 width 100px alt maciej kasprzyk br sub b maciej kasprzyk b sub a br a href https github com codesandbox codesandbox client commits author maciej ka title code a td tr tr td align center a href https github com robertheessels img src https avatars2 githubusercontent com u 596727 v 4 width 100px alt robert heessels br sub b robert heessels b sub a br a href https github com codesandbox codesandbox client commits author robertheessels title documentation a td td align center a href https ryanpcmcquen org img src https avatars3 githubusercontent com u 772937 v 4 width 100px alt ryan p c mcquen br sub b ryan p c mcquen b sub a br a href https github com codesandbox codesandbox client commits author ryanpcmcquen title code a td td align center a href http chrisrjones com img src https avatars3 githubusercontent com u 613805 v 4 width 100px alt chris br sub b chris b sub a br a href https github com codesandbox codesandbox client commits author ipatch title code a td td align center a href https github com drewsmith img src https avatars3 githubusercontent com u 595469 v 4 width 100px alt drew smith br sub b drew smith b sub a br a href https github com codesandbox codesandbox client commits author drewsmith title code a td td align center a href https codefund app img src https avatars2 githubusercontent com u 12481 v 4 width 100px alt eric berry br sub b eric berry b sub a br a href https github com codesandbox codesandbox client commits author coderberry title code a td td align center a href https www hum4n01d me img src https avatars1 githubusercontent com u 17228477 v 4 width 100px alt hum4n01d br sub b hum4n01d b sub a br a href https github com codesandbox codesandbox client commits author hum4n01d title code a td td align center a href https github com malwilley img src https avatars3 githubusercontent com u 10888943 v 4 width 100px alt malachi willey br sub b malachi willey b sub a br a href https github com codesandbox codesandbox client commits author malwilley title code a td tr tr td align center a href https twitter com mweststrate img src https avatars0 githubusercontent com u 1820292 v 4 width 100px alt michel weststrate br sub b michel weststrate b sub a br a href https github com codesandbox codesandbox client commits author mweststrate title code a td td align center a href https kof github io img src https avatars0 githubusercontent com u 52824 v 4 width 100px alt oleg br sub b oleg b sub a br a href https github com codesandbox codesandbox client commits author kof title code a td td align center a href https www pshrmn com img src https avatars0 githubusercontent com u 1127037 v 4 width 100px alt paul sherman br sub b paul sherman b sub a br a href https github com codesandbox codesandbox client issues q author 3apshrmn title bug reports a a href https github com codesandbox codesandbox client commits author pshrmn title code a td td align center a href https github com ro savage img src https avatars2 githubusercontent com u 9244507 v 4 width 100px alt ro savage br sub b ro savage b sub a br a href https github com codesandbox codesandbox client commits author ro savage title code a td td align center a href https samdd me img src https avatars3 githubusercontent com u 13242392 v 4 width 100px alt sam denty br sub b sam denty b sub a br a href https github com codesandbox codesandbox client commits author samdenty title code a td td align center a href https github com zephraph img src https avatars1 githubusercontent com u 3087225 v 4 width 100px alt zephraph br sub b zephraph b sub a br a href https github com codesandbox codesandbox client commits author zephraph title code a td td align center a href https joshwaller dev img src https avatars1 githubusercontent com u 1900735 v 4 width 100px alt josh waller br sub b josh waller b sub a br a href https github com codesandbox codesandbox client issues q author 3amdxprograms title bug reports a a href https github com codesandbox codesandbox client commits author mdxprograms title code a a href https github com codesandbox codesandbox client commits author mdxprograms title documentation a td tr tr td align center a href http joey co ke img src https avatars0 githubusercontent com u 1195863 v 4 width 100px alt joe ng ethe br sub b joe ng ethe b sub a br a href https github com codesandbox codesandbox client commits author joeynimu title code a td td align center a href https github com bitblitter img src https avatars0 githubusercontent com u 576935 v 4 width 100px alt carles codony br sub b carles codony b sub a br a href https github com codesandbox codesandbox client commits author bitblitter title code a td td align center a href https github com fdiskas img src https avatars2 githubusercontent com u 468006 v 4 width 100px alt vytenis br sub b vytenis b sub a br a href https github com codesandbox codesandbox client commits author fdiskas title code a td td align center a href http manueldugue de img src https avatars1 githubusercontent com u 894149 v 4 width 100px alt manuel dugu br sub b manuel dugu b sub a br a href https github com codesandbox codesandbox client issues q author 3amdugue title bug reports a a href https github com codesandbox codesandbox client commits author mdugue title code a td td align center a href https dem be img src https avatars2 githubusercontent com u 5346497 v 4 width 100px alt demian dekoninck br sub b demian dekoninck b sub a br a href https github com codesandbox codesandbox client commits author demiand title code a td td align center a href http www saeris io img src https avatars2 githubusercontent com u 3144549 v 4 width 100px alt drake costa br sub b drake costa b sub a br a href https github com codesandbox codesandbox client commits author saeris title code a td td align center a href https cxjs io img src https avatars2 githubusercontent com u 433394 v 4 width 100px alt marko stijak br sub b marko stijak b sub a br a href https github com codesandbox codesandbox client commits author mstijak title code a td tr tr td align center a href https twitter com ilya komar0ff img src https avatars2 githubusercontent com u 10588170 v 4 width 100px alt ilya br sub b ilya b sub a br a href question komar0ff title answering questions a a href ideas komar0ff title ideas planning feedback a td td align center a href https twitter com elaurent img src https avatars2 githubusercontent com u 10627086 v 4 width 100px alt emerson laurentino br sub b emerson laurentino b sub a br a href https github com codesandbox codesandbox client commits author emersonlaurentino title code a a href https github com codesandbox codesandbox client issues q author 3aemersonlaurentino title bug reports a td td align center a href https github com lifeiscontent img src https avatars3 githubusercontent com u 180963 v 4 width 100px alt aaron reisman br sub b aaron reisman b sub a br a href https github com codesandbox codesandbox client issues q author 3alifeiscontent title bug reports a a href https github com codesandbox codesandbox client commits author lifeiscontent title code a a href platform lifeiscontent title packaging porting to new platform a td td align center a href https github com colshacol img src https avatars2 githubusercontent com u 19484365 v 4 width 100px alt colton colcleasure br sub b colton colcleasure b sub a br a href https github com codesandbox codesandbox client commits author colshacol title code a a href https github com codesandbox codesandbox client issues q author 3acolshacol title bug reports a td td align center a href https github com pjwalker img src https avatars0 githubusercontent com u 497242 v 4 width 100px alt pj walker br sub b pj walker b sub a br a href https github com codesandbox codesandbox client issues q author 3apjwalker title bug reports a a href https github com codesandbox codesandbox client commits author pjwalker title code a td td align center a href https satya tech img src https avatars2 githubusercontent com u 29819102 v 4 width 100px alt satya rohith br sub b satya rohith b sub a br a href https github com codesandbox codesandbox client commits author satyarohith title code a a href https github com codesandbox codesandbox client commits author satyarohith title documentation a td td align center a href https www melanieseltzer io img src https avatars1 githubusercontent com u 17421347 v 4 width 100px alt melanie seltzer br sub b melanie seltzer b sub a br a href https github com codesandbox codesandbox client commits author melanieseltzer title code a td tr tr td align center a href http zyszys top img src https avatars1 githubusercontent com u 23313266 v 4 width 100px alt zyszys br sub b zyszys b sub a br a href https github com codesandbox codesandbox client commits author zyszys title documentation a td td align center a href http iamsaravieira com img src https avatars0 githubusercontent com u 1051509 v 4 width 100px alt sara vieira br sub b sara vieira b sub a br a href https github com codesandbox codesandbox client commits author saravieira title code a a href design saravieira title design a a href ideas saravieira title ideas planning feedback a td td align center a href https francoischalifour com img src https avatars3 githubusercontent com u 6137112 v 4 width 100px alt fran ois chalifour br sub b fran ois chalifour b sub a br a href https github com codesandbox codesandbox client issues q author 3afrancoischalifour title bug reports a a href https github com codesandbox codesandbox client commits author francoischalifour title code a td td align center a href https github com abdullahtariq1171 img src https avatars0 githubusercontent com u 5623766 v 4 width 100px alt abdullah br sub b abdullah b sub a br a href https github com codesandbox codesandbox client commits author abdullahtariq1171 title code a a href design abdullahtariq1171 title design a td td align center a href https jonshort me img src https avatars2 githubusercontent com u 21317379 v 4 width 100px alt jon short br sub b jon short b sub a br a href https github com codesandbox codesandbox client commits author jonshort title code a td td align center a href https twitter com dvv297 img src https avatars2 githubusercontent com u 5365325 v 4 width 100px alt daniel vu br sub b daniel vu b sub a br a href https github com codesandbox codesandbox client commits author dv297 title code a td td align center a href https www viveknayyar in img src https avatars3 githubusercontent com u 4931048 v 4 width 100px alt vivek nayyar br sub b vivek nayyar b sub a br a href https github com codesandbox codesandbox client commits author vivek12345 title code a td tr tr td align center a href https github com bobziroll img src https avatars3 githubusercontent com u 6244647 v 4 width 100px alt bob ziroll br sub b bob ziroll b sub a br a href https github com codesandbox codesandbox client commits author bobziroll title documentation a td td align center a href https blog lichter io img src https avatars0 githubusercontent com u 640208 v 4 width 100px alt alexander lichter br sub b alexander lichter b sub a br a href https github com codesandbox codesandbox client commits author mannil title code a td td align center a href https www chiamaka xyz img src https avatars3 githubusercontent com u 2737103 v 4 width 100px alt chiamaka nwolisa br sub b chiamaka nwolisa b sub a br a href https github com codesandbox codesandbox client commits author chiamaka title code a td td align center a href https github com shreeve img src https avatars2 githubusercontent com u 142875 s 460 v 4 width 100px alt steve shreeve br sub b steve shreeve b sub a br a href https github com codesandbox codesandbox client commits author shreeve title code a td td align center a href https github com rowild img src https avatars1 githubusercontent com u 213803 v 4 width 100px alt robert wildling br sub b robert wildling b sub a br a href https github com codesandbox codesandbox client commits author rowild title code a td td align center a href https github com noviny img src https avatars1 githubusercontent com u 15622106 v 4 width 100px alt ben conolly br sub b ben conolly b sub a br a href https github com codesandbox codesandbox client commits author noviny title code a td td align center a href https twitter com wuweiweiwu img src https avatars3 githubusercontent com u 35270620 v 4 width 100px alt wei wei wu br sub b wei wei wu b sub a br a href https github com codesandbox codesandbox client commits author wuweiweiwu title code a td tr tr td align center a href https www alexvcasillas com img src https avatars2 githubusercontent com u 9496960 v 4 width 100px alt alex casillas br sub b alex casillas b sub a br a href https github com codesandbox codesandbox client commits author alexvcasillas title code a td td align center a href https brian ng img src https avatars3 githubusercontent com u 56288 v 4 width 100px alt brian ng br sub b brian ng b sub a br a href https github com codesandbox codesandbox client commits author existentialism title code a td td align center a href https mike works img src https avatars1 githubusercontent com u 558005 v 4 width 100px alt mike north br sub b mike north b sub a br a href https github com codesandbox codesandbox client commits author mike north title code a td td align center a href https github com oroce img src https avatars2 githubusercontent com u 462848 v 4 width 100px alt r bert oroszi br sub b r bert oroszi b sub a br a href https github com codesandbox codesandbox client commits author oroce title code a td td align center a href https github com afontcu img src https avatars0 githubusercontent com u 9197791 v 4 width 100px alt adri fontcuberta br sub b adri fontcuberta b sub a br a href https github com codesandbox codesandbox client commits author afontcu title code a td td align center a href http www aadsm net img src https avatars1 githubusercontent com u 78122 v 4 width 100px alt ant nio afonso br sub b ant nio afonso b sub a br a href https github com codesandbox codesandbox client commits author aadsm title code a td td align center a href http sapegin me img src https avatars2 githubusercontent com u 70067 v 4 width 100px alt artem sapegin br sub b artem sapegin b sub a br a href https github com codesandbox codesandbox client commits author sapegin title code a td tr tr td align center a href http bcbrian com img src https avatars0 githubusercontent com u 6721622 v 4 width 100px alt brian bartholomew br sub b brian bartholomew b sub a br a href https github com codesandbox codesandbox client commits author bcbrian title code a td td align center a href http www christianalfoni com img src https avatars1 githubusercontent com u 3956929 v 4 width 100px alt christian alfoni br sub b christian alfoni b sub a br a href https github com codesandbox codesandbox client commits author christianalfoni title code a td td align center a href http davidbaumgold com img src https avatars3 githubusercontent com u 132355 v 4 width 100px alt david baumgold br sub b david baumgold b sub a br a href https github com codesandbox codesandbox client commits author singingwolfboy title code a td td align center a href https erodionov ru img src https avatars1 githubusercontent com u 775692 v 4 width 100px alt evgeny rodionov br sub b evgeny rodionov b sub a br a href https github com codesandbox codesandbox client commits author evgenyrodionov title code a td td align center a href https github com fathyb img src https avatars1 githubusercontent com u 5746414 v 4 width 100px alt fathy boundjadj br sub b fathy boundjadj b sub a br a href https github com codesandbox codesandbox client commits author fathyb title code a td td align center a href https 6nok org img src https avatars0 githubusercontent com u 868283 v 4 width 100px alt fatih altinok br sub b fatih altinok b sub a br a href https github com codesandbox codesandbox client commits author frontsideair title code a td td align center a href http grant cm img src https avatars3 githubusercontent com u 744973 v 4 width 100px alt grant timmerman br sub b grant timmerman b sub a br a href https github com codesandbox codesandbox client commits author grant title code a td tr tr td align center a href https twitter com jmeaspls img src https avatars3 githubusercontent com u 2322305 v 4 width 100px alt james br sub b james b sub a br a href https github com codesandbox codesandbox client commits author jamesplease title code a td td align center a href https github com kelson448 img src https avatars3 githubusercontent com u 18242829 v 4 width 100px alt kelson448 br sub b kelson448 b sub a br a href https github com codesandbox codesandbox client commits author kelson448 title code a td td align center a href http ken net img src https avatars0 githubusercontent com u 980757 v 4 width 100px alt ken snyder br sub b ken snyder b sub a br a href https github com codesandbox codesandbox client commits author ksnyde title code a td td align center a href https kentcdodds com img src https avatars0 githubusercontent com u 1500684 v 4 width 100px alt kent c dodds br sub b kent c dodds b sub a br a href https github com codesandbox codesandbox client commits author kentcdodds title code a td td align center a href https khaledgarbaya net img src https avatars1 githubusercontent com u 1156093 v 4 width 100px alt khaled garbaya br sub b khaled garbaya b sub a br a href https github com codesandbox codesandbox client commits author khaledgarbaya title code a td td align center a href https jeezliu github io img src https avatars3 githubusercontent com u 1921130 v 4 width 100px alt liu br sub b liu b sub a br a href https github com codesandbox codesandbox client commits author jeezliu title code a td td align center a href http www maciejmyslinski com img src https avatars0 githubusercontent com u 11421186 v 4 width 100px alt maciej br sub b maciej b sub a br a href https github com codesandbox codesandbox client commits author maciejmyslinski title code a td tr tr td align center a href https github com matt gadd img src https avatars0 githubusercontent com u 2183490 v 4 width 100px alt matthew gadd br sub b matthew gadd b sub a br a href https github com codesandbox codesandbox client commits author matt gadd title code a td td align center a href https github com krvajal img src https avatars1 githubusercontent com u 5899385 v 4 width 100px alt miguel carvajal br sub b miguel carvajal b sub a br a href https github com codesandbox codesandbox client commits author krvajal title code a td td align center a href https olaolu me img src https avatars2 githubusercontent com u 8625066 v 4 width 100px alt olaolu olawuyi br sub b olaolu olawuyi b sub a br a href https github com codesandbox codesandbox client commits author whizkydee title code a td td align center a href https twitter com pete tnt img src https avatars2 githubusercontent com u 7641760 v 4 width 100px alt pete nyk nen br sub b pete nyk nen b sub a br a href https github com codesandbox codesandbox client commits author petetnt title code a td td align center a href https iamphill com img src https avatars0 githubusercontent com u 741068 v 4 width 100px alt phil hughes br sub b phil hughes b sub a br a href https github com codesandbox codesandbox client commits author iamphill title code a td td align center a href https twitter com pomber img src https avatars1 githubusercontent com u 1911623 v 4 width 100px alt rodrigo pombo br sub b rodrigo pombo b sub a br a href https github com codesandbox codesandbox client commits author pomber title code a td td align center a href https sairam xyz img src https avatars2 githubusercontent com u 163584 v 4 width 100px alt sai ram kunala br sub b sai ram kunala b sub a br a href https github com codesandbox codesandbox client commits author sairam title code a td tr tr td align center a href https gitter im img src https avatars2 githubusercontent com u 8518239 v 4 width 100px alt the gitter badger br sub b the gitter badger b sub a br a href https github com codesandbox codesandbox client commits author gitter badger title code a td td align center a href https github com twhitbeck img src https avatars2 githubusercontent com u 762471 v 4 width 100px alt tim whitbeck br sub b tim whitbeck b sub a br a href https github com codesandbox codesandbox client commits author twhitbeck title code a td td align center a href http twitter com yesmeck img src https avatars0 githubusercontent com u 465125 v 4 width 100px alt wei zhu br sub b wei zhu b sub a br a href https github com codesandbox codesandbox client commits author yesmeck title code a td td align center a href http wilwilsman com img src https avatars2 githubusercontent com u 5005153 v 4 width 100px alt wil wilsman br sub b wil wilsman b sub a br a href https github com codesandbox codesandbox client commits author wwilsman title code a td td align center a href https codepen io findoff img src https avatars1 githubusercontent com u 7959329 v 4 width 100px alt abnessor aka findoff br sub b abnessor aka findoff b sub a br a href https github com codesandbox codesandbox client commits author findoff title code a td td align center a href http jerry i github io img src https avatars1 githubusercontent com u 11937539 v 4 width 100px alt cottom br sub b cottom b sub a br a href https github com codesandbox codesandbox client commits author jerry i title code a td td align center a href https github com gitname img src https avatars3 githubusercontent com u 7143133 v 4 width 100px alt gitname br sub b gitname b sub a br a href https github com codesandbox codesandbox client commits author gitname title code a td tr tr td align center a href http www xulingming cn img src https avatars3 githubusercontent com u 15030806 v 4 width 100px alt bruce xu br sub b bruce xu b sub a br a href https github com codesandbox codesandbox client commits author jackdon title code a td td align center a href http jessachandler com img src https avatars3 githubusercontent com u 7316730 v 4 width 100px alt jess br sub b jess b sub a br a href https github com codesandbox codesandbox client commits author monkeywithacupcake title code a td td align center a href https juliette sh img src https avatars0 githubusercontent com u 8875406 v 4 width 100px alt juliette pr tot br sub b juliette pr tot b sub a br a href https github com codesandbox codesandbox client commits author juliettepretot title code a td td align center a href https twitter com vicbergquist img src https avatars0 githubusercontent com u 25737281 v 4 width 100px alt victoria bergquist br sub b victoria bergquist b sub a br a href https github com codesandbox codesandbox client commits author vicbergquist title code a a href https github com codesandbox codesandbox client commits author vicbergquist title documentation a td td align center a href https github com samrith s img src https avatars3 githubusercontent com u 9032162 v 4 width 100px alt samrith shankar br sub b samrith shankar b sub a br a href https github com codesandbox codesandbox client commits author samrith s title code a td td align center a href https github com tinahir img src https avatars3 githubusercontent com u 827497 v 4 width 100px alt mahendra hirapra br sub b mahendra hirapra b sub a br a href https github com codesandbox codesandbox client commits author tinahir title code a td td align center a href http rabingaire com np img src https avatars3 githubusercontent com u 17409675 v 4 width 100px alt rabin gaire br sub b rabin gaire b sub a br a href https github com codesandbox codesandbox client commits author rabingaire title code a td tr tr td align center a href https twitter com ask neville img src https avatars2 githubusercontent com u 8527474 v 4 width 100px alt neville mehta br sub b neville mehta b sub a br a href https github com codesandbox codesandbox client commits author nm123github title code a td td align center a href https github com yeti or img src https avatars0 githubusercontent com u 1813468 v 4 width 100px alt vasiliy br sub b vasiliy b sub a br a href https github com codesandbox codesandbox client commits author yeti or title code a td td align center a href https slynova io img src https avatars3 githubusercontent com u 2793951 v 4 width 100px alt romain lanz br sub b romain lanz b sub a br a href https github com codesandbox codesandbox client commits author romainlanz title code a td td align center a href http libe toile libre org img src https avatars2 githubusercontent com u 1233790 v 4 width 100px alt libe br sub b libe b sub a br a href https github com codesandbox codesandbox client commits author libetl title code a td td align center a href http thecodechef github io img src https avatars0 githubusercontent com u 5333019 v 4 width 100px alt jeremy bolding br sub b jeremy bolding b sub a br a href https github com codesandbox codesandbox client commits author thecodechef title code a td td align center a href https twitter com baconbrix img src https avatars1 githubusercontent com u 9664363 v 4 width 100px alt evan bacon br sub b evan bacon b sub a br a href https github com codesandbox codesandbox client commits author evanbacon title code a td td align center a href https michaeldeboey be img src https avatars3 githubusercontent com u 6643991 v 4 width 100px alt micha l de boey br sub b micha l de boey b sub a br a href blog michaeldeboey title blogposts a a href https github com codesandbox codesandbox client issues q author 3amichaeldeboey title bug reports a a href https github com codesandbox codesandbox client commits author michaeldeboey title code a a href https github com codesandbox codesandbox client commits author michaeldeboey title documentation a a href infra michaeldeboey title infrastructure hosting build tools etc a a href tool michaeldeboey title tools a td tr tr td align center a href https github com gabeeden img src https avatars1 githubusercontent com u 14077091 v 4 width 100px alt gabeeden br sub b gabeeden b sub a br a href https github com codesandbox codesandbox client commits author gabeeden title code a td td align center a href https tiffanywhite dev img src https avatars0 githubusercontent com u 7698292 v 4 width 100px alt tiffany white br sub b tiffany white b sub a br a href https github com codesandbox codesandbox client commits author twhite96 title code a td td align center a href http www dopest tech img src https avatars3 githubusercontent com u 32302360 v 4 width 100px alt james bedford br sub b james bedford b sub a br a href https github com codesandbox codesandbox client commits author jabedford title code a td td align center a href https www patreon com user u 16255660 img src https avatars0 githubusercontent com u 3314957 v 4 width 100px alt scott br sub b scott b sub a br a href https github com codesandbox codesandbox client commits author smolinari title code a td td align center a href https github com dutiyesh img src https avatars1 githubusercontent com u 12200583 v 4 width 100px alt dutiyesh salunkhe br sub b dutiyesh salunkhe b sub a br a href https github com codesandbox codesandbox client commits author dutiyesh title code a td td align center a href http halit dev img src https avatars2 githubusercontent com u 13641726 v 4 width 100px alt halit ogunc br sub b halit ogunc b sub a br a href https github com codesandbox codesandbox client commits author halitogunc title code a td td align center a href https github com jyash97 img src https avatars0 githubusercontent com u 22376783 v 4 width 100px alt yash joshi br sub b yash joshi b sub a br a href https github com codesandbox codesandbox client commits author jyash97 title code a td tr tr td align center a href https github com batiskafff img src https avatars3 githubusercontent com u 1769092 v 4 width 100px alt yehor br sub b yehor b sub a br a href https github com codesandbox codesandbox client commits author batiskafff title code a td td align center a href https github com jensderond img src https avatars2 githubusercontent com u 6972822 v 4 width 100px alt jens de rond br sub b jens de rond b sub a br a href https github com codesandbox codesandbox client issues q author 3ajensderond title bug reports a a href https github com codesandbox codesandbox client commits author jensderond title code a td td align center a href http benjaminschachter com img src https avatars2 githubusercontent com u 2502947 v 4 width 100px alt benjamin schachter br sub b benjamin schachter b sub a br a href https github com codesandbox codesandbox client commits author benschac title documentation a td td align center a href https github com rafaelkr img src https avatars1 githubusercontent com u 14234815 v 4 width 100px alt rafael br sub b rafael b sub a br a href https github com codesandbox codesandbox client issues q author 3arafaelkr title bug reports a a href https github com codesandbox codesandbox client commits author rafaelkr title code a td td align center a href https github com baremetalfreak img src https avatars0 githubusercontent com u 19686979 v 4 width 100px alt baremetalfreak br sub b baremetalfreak b sub a br a href question baremetalfreak title answering questions a a href https github com codesandbox codesandbox client issues q author 3abaremetalfreak title bug reports a a href https github com codesandbox codesandbox client commits author baremetalfreak title code a td td align center a href https github com jaybee007 img src https avatars0 githubusercontent com u 13278577 v 4 width 100px alt javed br sub b javed b sub a br a href https github com codesandbox codesandbox client commits author jaybee007 title code a td td align center a href https github com r4m80mrx img src https avatars1 githubusercontent com u 29365693 v 4 width 100px alt r4m80mrx br sub b r4m80mrx b sub a br a href https github com codesandbox codesandbox client commits author r4m80mrx title code a td tr tr td align center a href https medium com derek develops img src https avatars2 githubusercontent com u 53202242 v 4 width 100px alt dr derek austin aka dj d rek from richmond va br sub b dr derek austin aka dj d rek from richmond va b sub a br a href https github com codesandbox codesandbox client issues q author 3adjd rek title bug reports a td td align center a href https sid st img src https avatars0 githubusercontent com u 1863771 v 4 width 100px alt sid br sub b sid b sub a br a href https github com codesandbox codesandbox client commits author siddharthkp title code a td td align center a href http yeisondaza com img src https avatars0 githubusercontent com u 9127504 v 4 width 100px alt yeison daza br sub b yeison daza b sub a br a href https github com codesandbox codesandbox client commits author yeion7 title code a td td align center a href https shriram balaji github io img src https avatars1 githubusercontent com u 11358903 v 4 width 100px alt shriram balaji br sub b shriram balaji b sub a br a href https github com codesandbox codesandbox client commits author shriram balaji title code a td td align center a href http thomasdillard com img src https avatars1 githubusercontent com u 12449668 v 4 width 100px alt thomas dillard br sub b thomas dillard b sub a br a href https github com codesandbox codesandbox client commits author htmlghozt title code a td td align center a href https github com chinmay17 img src https avatars2 githubusercontent com u 7131231 v 4 width 100px alt chinmay chaudhary br sub b chinmay chaudhary b sub a br a href https github com codesandbox codesandbox client commits author chinmay17 title code a td td align center a href https github com sakthivel img src https avatars3 githubusercontent com u 205201 v 4 width 100px alt sakthivel sengodan sapient br sub b sakthivel sengodan sapient b sub a br a href https github com codesandbox codesandbox client commits author sakthivel title code a td tr tr td align center a href https github com nabeelahy img src https avatars1 githubusercontent com u 35764602 v 4 width 100px alt nabeelah br sub b nabeelah b sub a br a href https github com codesandbox codesandbox client commits author nabeelahy title code a td td align center a href https github com vanya829 img src https avatars0 githubusercontent com u 1397979 v 4 width 100px alt vanya829 br sub b vanya829 b sub a br a href https github com codesandbox codesandbox client commits author vanya829 title code a td td align center a href https github com tanem img src https avatars3 githubusercontent com u 464864 v 4 width 100px alt tane morgan br sub b tane morgan b sub a br a href https github com codesandbox codesandbox client commits author tanem title code a td td align center a href http hetpatel33 github io img src https avatars0 githubusercontent com u 13877514 v 4 width 100px alt het patel br sub b het patel b sub a br a href https github com codesandbox codesandbox client commits author hetpatel33 title code a td td align center a href https twitter com ivandevp img src https avatars3 githubusercontent com u 9284690 v 4 width 100px alt ivan medina br sub b ivan medina b sub a br a href https github com codesandbox codesandbox client commits author ivandevp title code a td td align center a href https github com gobinath manokaran img src https avatars2 githubusercontent com u 6711914 v 4 width 100px alt gobinath manokaran br sub b gobinath manokaran b sub a br a href https github com codesandbox codesandbox client commits author gobinath manokaran title code a td td align center a href https armujahid me img src https avatars1 githubusercontent com u 3725386 v 4 width 100px alt abdul rauf br sub b abdul rauf b sub a br a href https github com codesandbox codesandbox client commits author armujahid title code a a href https github com codesandbox codesandbox client commits author armujahid title documentation a td tr tr td align center a href https github com milap1296 img src https avatars2 githubusercontent com u 19545730 v 4 width 100px alt milap1296 br sub b milap1296 b sub a br a href https github com codesandbox codesandbox client commits author milap1296 title code a td td align center a href http yevhenorlov com img src https avatars2 githubusercontent com u 17388747 v 4 width 100px alt yevhen orlov br sub b yevhen orlov b sub a br a href https github com codesandbox codesandbox client commits author yevhenorlov title code a td td align center a href https github com nileshpatel17 img src https avatars2 githubusercontent com u 27020381 v 4 width 100px alt nilesh patel br sub b nilesh patel b sub a br a href https github com codesandbox codesandbox client commits author nileshpatel17 title code a td td align center a href https github com 22poojagaur img src https avatars2 githubusercontent com u 43316760 v 4 width 100px alt pooja gaur br sub b pooja gaur b sub a br a href https github com codesandbox codesandbox client commits author 22poojagaur title code a td td align center a href https github com sajadhsm img src https avatars3 githubusercontent com u 20022818 v 4 width 100px alt sajad hashemian br sub b sajad hashemian b sub a br a href https github com codesandbox codesandbox client commits author sajadhsm title code a td td align center a href https carloslfu github io img src https avatars3 githubusercontent com u 5993168 v 4 width 100px alt carlos galarza br sub b carlos galarza b sub a br a href https github com codesandbox codesandbox client commits author carloslfu title documentation a td td align center a href https github com soorajshankar img src https avatars2 githubusercontent com u 8408875 v 4 width 100px alt soorajshankar br sub b soorajshankar b sub a br a href https github com codesandbox codesandbox client commits author soorajshankar title code a td tr tr td align center a href http mcmunder de img src https avatars3 githubusercontent com u 5681686 v 4 width 100px alt matthias christoph munder br sub b matthias christoph munder b sub a br a href https github com codesandbox codesandbox client issues q author 3amcmunder title bug reports a a href https github com codesandbox codesandbox client commits author mcmunder title code a td td align center a href http anuraghazra github io img src https avatars3 githubusercontent com u 35374649 v 4 width 100px alt anurag hazra br sub b anurag hazra b sub a br a href https github com codesandbox codesandbox client commits author anuraghazra title code a td td align center a href https github com johansenja img src https avatars1 githubusercontent com u 43235608 v 4 width 100px alt johansenja br sub b johansenja b sub a br a href https github com codesandbox codesandbox client commits author johansenja title documentation a td td align center a href https shodipoayomide com img src https avatars2 githubusercontent com u 20538832 v 4 width 100px alt shodipo ayomide br sub b shodipo ayomide b sub a br a href https github com codesandbox codesandbox client commits author developerayo title documentation a td td align center a href http akashj com img src https avatars0 githubusercontent com u 22196279 v 4 width 100px alt akash joshi br sub b akash joshi b sub a br a href https github com codesandbox codesandbox client commits author akash joshi title code a td td align center a href https twitter com layershifter img src https avatars0 githubusercontent com u 14183168 v 4 width 100px alt oleksandr fediashov br sub b oleksandr fediashov b sub a br a href https github com codesandbox codesandbox client issues q author 3alayershifter title bug reports a a href https github com codesandbox codesandbox client commits author layershifter title code a td td align center a href https github com tehnuge img src https avatars1 githubusercontent com u 1928236 v 4 width 100px alt john d br sub b john d b sub a br a href https github com codesandbox codesandbox client commits author tehnuge title code a td tr tr td align center a href https github com ninomaj img src https avatars0 githubusercontent com u 20380632 v 4 width 100px alt nino br sub b nino b sub a br a href https github com codesandbox codesandbox client commits author ninomaj title documentation a td td align center a href https saurabhdaware in img src https avatars1 githubusercontent com u 30949385 v 4 width 100px alt saurabh daware br sub b saurabh daware b sub a br a href https github com codesandbox codesandbox client commits author saurabhdaware title code a a href plugin saurabhdaware title plugin utility libraries a td td align center a href https pablo pink img src https avatars0 githubusercontent com u 4324982 v 4 width 100px alt pablo varela br sub b pablo varela b sub a br a href https github com codesandbox codesandbox client commits author pablopunk title code a td td align center a href https github com ryanpwaldon img src https avatars0 githubusercontent com u 12480362 v 4 width 100px alt ryan waldon br sub b ryan waldon b sub a br a href https github com codesandbox codesandbox client commits author ryanpwaldon title code a td td align center a href http cherniavskii com img src https avatars githubusercontent com u 13808724 v 4 width 100px alt andrew cherniavskii br sub b andrew cherniavskii b sub a br a href https github com codesandbox codesandbox client commits author cherniavskii title code a td td align center a href http nullvoxpopuli com img src https avatars githubusercontent com u 199018 v 4 width 100px alt nullvoxpopuli br sub b nullvoxpopuli b sub a br a href https github com codesandbox codesandbox client commits author nullvoxpopuli title code a a href content nullvoxpopuli title content a a href maintenance nullvoxpopuli title maintenance a td td align center a href http joshellis co uk img src https avatars githubusercontent com u 37798644 v 4 width 100px alt josh br sub b josh b sub a br a href https github com codesandbox codesandbox client commits author joshuaellis title documentation a td tr tr td align center a href https stefanretief com img src https avatars githubusercontent com u 3196604 v 4 width 100px alt stefan retief br sub b stefan retief b sub a br a href https github com codesandbox codesandbox client issues q author 3astefanretief title bug reports a a href https github com codesandbox codesandbox client commits author stefanretief title code a td td align center a href https github com aditya211935 img src https avatars githubusercontent com u 23213686 v 4 width 100px alt aditya br sub b aditya b sub a br a href https github com codesandbox codesandbox client issues q author 3aaditya211935 title bug reports a a href https github com codesandbox codesandbox client commits author aditya211935 title code a td td align center a href http baobangdong cn img src https avatars githubusercontent com u 36991862 v 4 width 100px alt b2d1 br sub b b2d1 b sub a br a href https github com codesandbox codesandbox client commits author b2d1 title documentation a td td align center a href https github com kettanaito img src https github com kettanaito png width 100px alt artem br sub b artem b sub a br a href https github com codesandbox codesandbox client commits author kettanaito title code a td td align center a href http hugos computer img src https avatars githubusercontent com u 1035169 v 4 width 100px alt hugo wiledal br sub b hugo wiledal b sub a br a href https github com codesandbox codesandbox client issues q author 3awiledal title bug reports a a href https github com codesandbox codesandbox client commits author wiledal title code a td td align center a href https thesshguy com img src https avatars githubusercontent com u 11434879 v 4 width 100px alt sai hari br sub b sai hari b sub a br a href https github com codesandbox codesandbox client commits author sshari title code a td tr table markdownlint enable prettier ignore end all contributors list end thanks a href https www chromaticqa com img src https cdn images 1 medium com letterbox 147 36 50 50 1 ohhjtjindobxiuyhdy2gfa png source logoavatar d7276495b101 37816ec27d7a width 120 a thanks to chromatic https www chromaticqa com for providing the visual testing platform that helps us catch unexpected changes | codesandbox react javascript vue preact svelte angular | front_end |
play-with-me | play with me project for the credit of the subjects databases and software engineering not finished | server |
|
ml-design-docs | ml design doc a template for design docs for machine learning systems based on this post https eugeneyan com writing ml design docs note this template is a guideline checklist and is not meant to be exhaustive the intent of the design doc is to help you think better about the problem and design and get feedback adopt whichever sections and add new sections to meet this goal view other templates examples here other templates examples etc 1 overview a summary of the doc s purpose problem solution and desired outcome usually in 3 5 sentences 2 motivation why the problem is important to solve and why now 3 success metrics usually framed as business goals such as increased customer engagement e g ctr dau revenue or reduced cost 4 requirements constraints functional requirements are those that should be met to ship the project they should be described in terms of the customer perspective and benefit see this https eugeneyan com writing ml design docs the why and what of design docs for more details non functional technical requirements are those that define system quality and how the system should be implemented these include performance throughput latency error rates cost infra cost ops effort security data privacy etc constraints can come in the form of non functional requirements e g cost below x a month p99 latency y ms 4 1 what s in scope out of scope some problems are too big to solve all at once be clear about what s out of scope 5 methodology 5 1 problem statement how will you frame the problem for example fraud detection can be framed as an unsupervised outlier detection graph cluster or supervised problem e g classification 5 2 data what data will you use to train your model what input data is needed during serving 5 3 techniques what machine learning techniques will you use how will you clean and prepare the data e g excluding outliers and create features 5 4 experimentation validation how will you validate your approach offline what offline evaluation metrics will you use if you re a b testing how will you assign treatment and control e g customer vs session based and what metrics will you measure what are the success and guardrail https medium com airbnb engineering designing experimentation guardrails ed6a976ec669 metrics 5 5 human in the loop how will you incorporate human intervention into your ml system e g product customer exclusion lists 6 implementation 6 1 high level design https upload wikimedia org wikipedia commons thumb 2 2e data flow diagram example svg 1280px data flow diagram example svg png start by providing a big picture view system context diagrams https en wikipedia org wiki system context diagram and data flow diagrams https en wikipedia org wiki data flow diagram work well 6 2 infra how will you host your system on premise cloud or hybrid this will define the rest of this section 6 3 performance throughput latency how will your system meet the throughput and latency requirements will it scale vertically or horizontally 6 4 security how will your system application authenticate users and incoming requests if it s publicly accessible will it be behind a firewall 6 5 data privacy how will you ensure the privacy of customer data will your system be compliant with data retention and deletion policies e g gdpr https gdpr eu what is gdpr 6 6 monitoring alarms how will you log events in your system what metrics will you monitor and how will you have alarms if a metric breaches a threshold or something else goes wrong 6 7 cost how much will it cost to build and operate your system share estimated monthly costs e g ec2 instances lambda etc 6 8 integration points how will your system integrate with upstream data and downstream users 6 9 risks uncertainties risks are the known unknowns uncertainties are the unknown unknows what worries you and you would like others to review 7 appendix 7 1 alternatives what alternatives did you consider and exclude list pros and cons of each alternative and the rationale for your decision 7 2 experiment results share any results of offline experiments that you conducted 7 3 performance benchmarks share any performance benchmarks you ran e g throughput vs latency vs instance size count 7 4 milestones timeline what are the key milestones for this system and the estimated timeline 7 5 glossary define and link to business or technical terms 7 6 references add references that you might have consulted for your methodology other templates examples etc a software design doc https www industrialempathy com posts design doc a design doc google design docs at google https www industrialempathy com posts design docs at google google product spec of emoji reactions on twitter messages https docs google com document d 1sux sm5qz474pcqqupvdi3lvvmwpluqhoyfxz3xkl2m edit heading h 554u12gw2xpd twitter design docs markdown and git https caitiem com 2020 03 29 design docs markdown and git microsoft technical decision making and alignment in a remote culture https multithreaded stitchfix com blog 2020 12 07 remote decision making stitchfix design documents for chromium https www chromium org developers design documents chromium prd template https works hashicorp com articles prd template and rfc template https works hashicorp com articles rfc template example rfc manager charter https works hashicorp com articles manager charter hashicorp pitch for to do groups and group notifications https basecamp com shapeup 1 5 chapter 06 examples basecamp the anatomy of a 6 pager https writingcooperative com the anatomy of an amazon 6 pager fc79f31a41c9 and an example https docs google com document d 1lph1lwx1z67yfo67denyugbaokk39dtx7rwaeqhxzhg edit amazon writing for distributed teams http veekaybee github io 2021 07 17 p2s how p2 changed automattic https ma tt 2009 05 how p2 changed automattic automattic writing technical design docs https medium com machine words writing technical design docs 71f446e42f2e writing technical design docs revisited https medium com machine words writing technical design docs revisited 850d36570ec aws how to write a good software design doc https www freecodecamp org news how to write a good software design document 66fcf019569c plaid contributions welcome https github com eugeneyan ml design docs pulls | machine-learning design design-docs | os |
Machine-Learning-with-R-datasets | data for machine learning with r machine learning with r https www packtpub com big data and business intelligence machine learning r by brett lantz is a book that provides an introduction to machine learning using r as far as i can tell packt publishing does not make its datasets available online unless you buy the book and create a user account https www packtpub com books content support which can be a problem if you are checking the book out from the library or borrowing the book from a friend all of these datasets are in the public domain but simply needed some cleaning up and recoding to match the format in the book how to download the data 1 in your mac or linux envirounment open a terminal and change to the directory where you want your data to be downloaded 2 go to the github page you want to download it s data for example the challenger data in chapter 6 https github com stedy machine learning with r datasets blob master challenger csv 3 on the right side you will find a button called raw click on it 4 copy the url you will get for the new page in our example i got https raw githubusercontent com stedy machine learning with r datasets master challenger csv 5 put the following command in the terminal screen wget name of url so in our example it should be like this wget https raw githubusercontent com stedy machine learning with r datasets master challenger csv chapter 1 no datasets used chapter 2 usedcars csv could not be found online chapter 3 wisc bc data csv from https archive ics uci edu ml machine learning databases breast cancer wisconsin chapter 4 sms spam csv from http www dt fee unicamp br tiago smsspamcollection chapter 5 credit csv from https archive ics uci edu ml machine learning databases statlog german mushrooms csv from https archive ics uci edu ml machine learning databases mushroom chapter 6 challenger csv from https archive ics uci edu ml machine learning databases space shuttle insurance csv could not be found online whitewines csv from https archive ics uci edu ml machine learning databases wine quality chapter 7 concrete csv from https archive ics uci edu ml machine learning databases concrete compressive letterdata csv from https archive ics uci edu ml machine learning databases letter recognition chapter 8 groceries csv is from arules http cran r project org web packages arules index html package but probably just easier to call library arules data groceries chapter 9 snsdata csv could not be found online chapter 10 sms results csv is likely from the sms test pred object in chapter 4 but difficult to be sure credit csv is likely the same file from chapter 5 chapter 11 credit csv from chapter 5 is reused chapter 12 no datasets used | ai |
|
MADSourceCodes | mad source codes mobile application development with android course source codes lecture 1 helloworldproject https github com accavdar mad source codes tree master lecture 01 helloandroidproject lecture 2 greetingapp https github com accavdar mad source codes tree master lecture 02 lecture 4 activitylifecycle https github com accavdar mad source codes tree master lecture 04 activitylifecycleproject lecture 5 framelayout https github com accavdar mad source codes tree master lecture 05 framelayoutproject linearlayout https github com accavdar mad source codes tree master lecture 05 linearlayoutproject relativelayout https github com accavdar mad source codes tree master lecture 05 relativelayoutproject tablelayout https github com accavdar mad source codes tree master lecture 05 tablelayoutproject uicomposition https github com accavdar mad source codes tree master lecture 05 uicompositionproject moviesapp https github com accavdar mad source codes tree master lecture 05 moviesappproject | front_end |
|
KORAL | koral summary koral is a novel extremely fast highly accurate scale and rotation invariant cpu gpu cooperative detector descriptor detection is based on the author s custom multi scale kfast corner detector with rapid bilinear interpolation performed by the gpu asynchronously while the cpu works on kfast usage basic use of koral is extremely easy although of course for a larger high performance pipeline users will benefit from calling koral functions directly and modifying it to suit their needs to detect and describe simply include koral h and then do koral koral scale factor scale levels koral go image width height kfast threshold where scale factor is the factor by which each scale level is reduced from the previous scale levels is the total number of such scale levels used image is a pointer to uint8 t grayscale image data and kfast threshold is the threshold supplied to the kfast feature detector after this call keypoints are avaiable in a vector at koral kps while descriptors are available at koral desc portions of koral require sse avx avx2 and cuda the author is working on reduced performance versions with lesser requirements but as the intent of this work is primarily novel performance capability modern hardware and this full version are highly recommended description is performed by the gpu using the novel clatch cuda latch binary descriptor kernel rotation invariance is provided by a novel vectorized sse angle weight detector all components have been written and carefully tuned by the author for maximum performance and have no external dependencies some have been modified for integration into koral but the original standalone projects are all availble on the author s github https github com komrad36 these individual components are kfast https github com komrad36 kfast cudalerp https github com komrad36 cudalerp featureangle https github com komrad36 featureangle clatch https github com komrad36 clatch in addition the natural next step of matching descriptors is available in the author s currently separate project cudak2nn https github com komrad36 cudak2nn a key insight responsible for much of the performance of this insanely fast system is due to christopher parker https github com csp256 to whom i am extremely grateful the file main cpp is a simple test driver illustrating example usage it requires opencv for image read and keypoint display koral itself however does not require opencv or any other external dependencies note that koral is a work in progress suggestions and improvements are welcomed license the fast detector was created by edward rosten and tom drummond as described in the 2006 paper by rosten and drummond machine learning for high speed corner detection edward rosten and tom drummond https www edwardrosten com work rosten 2006 machine pdf the fast detector is bsd licensed copyright c 2006 2008 2009 2010 edward rosten all rights reserved redistribution and use in source and binary forms with or without modification are permitted provided that the following conditions are met redistributions of source code must retain the above copyright notice this list of conditions and the following disclaimer redistributions in binary form must reproduce the above copyright notice this list of conditions and the following disclaimer in the documentation and or other materials provided with the distribution neither the name of the university of cambridge nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission this software is provided by the copyright holders and contributors as is and any express or implied warranties including but not limited to the implied warranties of merchantability and fitness for a particular purpose are disclaimed in no event shall the copyright owner or contributors be liable for any direct indirect incidental special exemplary or consequential damages including but not limited to procurement of substitute goods or services loss of use data or profits or business interruption however caused and on any theory of liability whether in contract strict liability or tort including negligence or otherwise arising in any way out of the use of this software even if advised of the possibility of such damage koral is licensed under the mit license https opensource org licenses mit license php copyright c 2016 kareem omar christopher parker permission is hereby granted free of charge to any person obtaining a copy of this software and associated documentation files the software to deal in the software without restriction including without limitation the rights to use copy modify merge publish distribute sublicense and or sell copies of the software and to permit persons to whom the software is furnished to do so subject to the following conditions the above copyright notice and this permission notice shall be included in all copies or substantial portions of the software the software is provided as is without warranty of any kind express or implied including but not limited to the warranties of merchantability fitness for a particular purpose and noninfringement in no event shall the authors or copyright holders be liable for any claim damages or other liability whether in an action of contract tort or otherwise arising from out of or in connection with the software or the use or other dealings in the software note again that koral is a work in progress suggestions and improvements are welcomed | ai |
|
amazon-reviews-nlp | amazon reviews nlp classifying amazon reviews based on customer ratings using nlp louie balderrama br springboard data science career track january 2019 cohort br h1 align center capstone project ii h1 problem statement classifying amazon reviews based on customer ratings using nlp h4 align center impact h4 reviews provide objective feedback to a product and are therefore inherently useful for consumers these ratings are often summarized by a numerical rating or the number of stars of course there is more value in the actual text itself than the quantified stars and at times the given rating does not truly convey the experience of the product the heart of the feedback is actually in the text itself the goal therefore is to build a classifier that would understand the essence of a piece of review and assign it the most appropriate rating based on the meaning of the text h4 align center background h4 though product ratings on amazon are aggregated from all the reviews by every customer each individual rating is actually only an integer that ranges from one star to five stars this reduces our predictions to discrete classes totaling five possibilities therefore what we ll have is a supervised multi class classifier with the actual review text as the core predictor this study is an exploration of natural language processing nlp the goal of predicting the star rating given a piece of text will take on different nlp topics including word embedding topic modeling and dimension reduction from there we ll arrive at a final dataframe and we ll be employing different machine learning techniques in order to come up with the best approach i e most accurate estimator for our classifier h4 align center id datasets datasets h4 the amazon dataset http jmcauley ucsd edu data amazon index html contains the customer reviews for all listed electronics products spanning from may 1996 up to july 2014 there are a total of 1 689 188 reviews by a total of 192 403 customers on 63 001 unique products the data dictionary is as follows asin unique id of the product being reviewed string helpful a list with two elements the number of users that voted helpful and the total number of users that voted on the review including the not helpful votes list overall the reviewer s rating of the product int64 reviewtext the review text itself string reviewerid unique id of the reviewer string reviewername specified name of the reviewer string summary headline summary of the review string unixreviewtime unix time of when the review was posted string h4 align center reports h4 a amazon reviews nlp this is the jupyter notebook that contains the entire study along with the source code the dataset is too large to upload for the free lfs but the code references the link to the original dataset b capstone project ii final report this is the condensed presentation slides that summarizes the whole study in slides c capstone project ii milestone report 1 this is the interim report submitted prior to applying actual machine learning techniques this includes 1 data wrangling nlp pre processing tokenization phrase modeling count based feature engineering word embedding for feature engineering final dataframe principal component analysis 2 exploratory data analysis more on word2vec named entity recognition dependency tree topic modeling d capstone project ii milestone report 2 the interim report that includes the machine learning and the conclusion sections | ai |
|
cs325-Flowers | this is a flower database project that i wrote for cs325 software engineering at siue br br the goal of the project was to creating a gui and working database model for a researcher to store flowers br br they needed to be able to add flowers edit flowers delete flowers and search for flowers by name family and photo there needed to be a working photo search algorithm br researchers and admins also needed to have the ability to manage users add delete edit set permissions etc br there needed to be a login system and a permissions system to give certain users abilities that base users didn t have br br i also designed and implemented the login permissions system as well as the salting and hashing of passwords in the database br br the project itself isn t fully finished but there s a basic prototype and working gui database all basic functionality also functions correctly and met requirements br br i was personally responsible for the folowing classes br adduser cs and guis controllers br batchadduser cs and guis controllers br deleteuser cs guis controllers br editusers cs guis controllers br login cs guis controllers br usercontroller cs br much of the database manager databasemanager cs br the design of the data structure flower database mdf br various other fixes and design choices br a function to pull data from a xlsx file addbatchusers br salting and hashing for the database saltedhashbrowns cs br br | server |
|
chain | nodle chain a blockchain node for the nodle parachain to connect and secure the next trillion things built on substrate https substrate dev read the documentation https nodlecode github io chain nodle parachain index html live networks eden syncing nodle s parachain codename eden is done easily via cargo run bin nodle parachain release chain eden there are a few more chains available such as eden testing or dev development building cargo build testing cargo test all installing cargo install run a local parachain and relay chain assuming that polkadot is in usr local bin and that you installed polkadot launch https github com paritytech polkadot launch you can simply use this command cargo build release p nodle parachain polkadot launch launch json usage with docker 1 build the image docker build t nodle chain f maintain docker dockerfile 2 run it docker run v path to local repertory data p 9944 9944 it nodle chain | blockchain |
|
rag-with-amazon-opensearch | qa with llm and rag retrieval augmented generation this project is a question answering application with large language models llms and amazon opensearch service an application using the rag retrieval augmented generation approach retrieves information most relevant to the user s request from the enterprise knowledge base or content bundles it as context along with the user s request as a prompt and then sends it to the llm to get a genai response llms have limitations around the maximum word count for the input prompt therefore choosing the right passages among thousands or millions of documents in the enterprise has a direct impact on the llm s accuracy in this project amazon opensearch service is used for knowledge base the overall architecture is like this rag with opensearch arch cdk stacks rag with opensearch arch svg overall workflow 1 deploy the cdk stacks for more information see here cdk stacks readme md a sagemaker endpoint for text generation a sagemaker endpoint for generating embeddings an amazon opensearch cluster for storing embeddings opensearch cluster s access credentials username and password stored in aws secrets mananger as a name such as opensearchmasterusersecret1 xxxxxxxxxxxx 2 open sagemaker studio and then open a new terminal 3 run the following commands on the terminal to clone the code repository for this project git clone https github com ksmin23 rag with amazon opensearch git 4 open data ingestion to opensearch notebook and run it for more information see here data ingestion to vectordb data ingestion to opensearch ipynb 5 run streamlit application for more information see here app readme md references build a powerful question answering bot with amazon sagemaker amazon opensearch service streamlit and langchain 2023 05 25 https aws amazon com blogs machine learning build a powerful question answering bot with amazon sagemaker amazon opensearch service streamlit and langchain use proprietary foundation models from amazon sagemaker jumpstart in amazon sagemaker studio 2023 06 27 https aws amazon com blogs machine learning use proprietary foundation models from amazon sagemaker jumpstart in amazon sagemaker studio build streamlit apps in amazon sagemaker studio 2023 04 11 https aws amazon com blogs machine learning build streamlit apps in amazon sagemaker studio quickly build high accuracy generative ai applications on enterprise data using amazon kendra langchain and large language models 2023 05 03 https aws amazon com blogs machine learning quickly build high accuracy generative ai applications on enterprise data using amazon kendra langchain and large language models github amazon kendra retriver samples https github com aws samples amazon kendra langchain extensions tree main kendra retriever samples question answering using retrieval augmented generation with foundation models in amazon sagemaker jumpstart 2023 05 02 https aws amazon com blogs machine learning question answering using retrieval augmented generation with foundation models in amazon sagemaker jumpstart amazon opensearch service s vector database capabilities explained https aws amazon com blogs big data amazon opensearch services vector database capabilities explained langchain https python langchain com docs get started introduction html a framework for developing applications powered by language models streamlit https streamlit io a faster way to build and share data apps improve search relevance with ml in amazon opensearch service workshop https catalog workshops aws semantic search en us module 7 retrieval augmented generation rag with amazon kendra https github com ksmin23 rag with amazon kendra question answering application with large language models llms and amazon kendra rag with postgresql pgvector https github com ksmin23 rag with postgresql pgvector question answering application with large language models llms and amazon aurora postgresql | generative-ai llms opensearch rag vectordb langchain | ai |
SL_SDK | sl sdk introduction sl sdk is the software development kit for embedded devices such as cortex m based mcu or risc v mcu it provides varies of platform related and cross platform code to speed up the development till now the sl sdk is consist of following modules rte provides dynamic memory pool concurrent data structure log system and shell system hal provides united hardware devices instantiate and access api osal provides united os api to make cross platform easier sis like cmsis try to provide united api to adapt different core like cortex m or risc v bootloader provide an realization which is adapt for rtt s ota firmware format sl sdk cortex m risc v mcu sl sdk sl sdk shell os soc soc soc bootloader rtt ota bootloader sl sdk xmake runtime environment hardware abstract layer operating system abstract layer software interface standard | lvgl stm32 gui arm riscv rtos middleware algorithms-and-data-structures | os |
massa | br p align center img src logo png width 240 p br massa the decentralized and scaled blockchain ci https github com massalabs massa actions workflows ci yml badge svg branch main https github com massalabs massa actions workflows ci yml query branch 3amain bors enabled https bors tech images badge small svg https app bors tech repositories 39543 docs https img shields io static v1 label docs message massa color style flat https massalabs github io massa massa node open in gitpod https shields io badge gitpod contribute brightgreen logo gitpod style flat https gitpod io https github com massalabs massa about massa massa https massa net is a new blockchain based on a multithreaded technology https arxiv org pdf 1803 09029 that supports more than 10 000 transactions per second in a fully decentralized network with thousands of nodes a short introduction video is available here https www youtube com watch v nuufhvd7uly massa s purpose is to make it easy to deploy fully decentralized applications we ve developed two key technologies that are exclusive to massa to help make this possible autonomous smart contracts https docs massa net en latest general doc autonomous sc html and native front end hosting https docs massa net en latest general doc decentralized web html here is a list of tools to easily build applications on the massa blockchain js client library https github com massalabs massa web3 to connect to the massa blockchain from your applications assemblyscript https github com massalabs massa as sdk sdks to write smart contracts examples of applications https github com massalabs massa sc examples built on massa explorer https test massa net interactive api specification https playground open rpc org schemaurl https test massa net api v2 uischema appbar ui input false uischema appbar ui inputplaceholder enter massa json rpc server url uischema appbar ui logourl https massa net favicons favicon ico uischema appbar ui splitview false uischema appbar ui darkmode false uischema appbar ui title massa uischema appbar ui examplesdropdown false uischema methods ui defaultexpanded false uischema methods ui methodplugins true uischema params ui defaultexpanded false lots of documentation https docs massa net from web3 development https docs massa net docs build home to massa s architecture https docs massa net docs learn home join the testnet with decentralization as a core value we ve gone to great lengths to lower the barrier of entry for community participation in our community testnet and we invite you to join in https docs massa net docs node install and register for the testnet participation reward program your participation will help improve decentralization usability and network reliability leading up to and following the launch of mainnet community we have active community discussions on several platforms and we invite you to join the conversations if you wish to go into some depth about technical aspects speak with people working in the ecosystem full time or just have a chat with other like minded people these can be good places to start discord https discord com invite massa telegram https t me massanetwork twitter https twitter com massalabs contributing we welcome contributions from the community at large from anywhere between seasoned oss contributors to those hoping to try it for the first time if you would like some help to get started reach out to us on our community discord https discord com invite massa server if you re comfortable enough to get started on you re own check out our good first issue https github com massalabs massa labels good 20first 20issue label contributors a list of all the contributors can be found here contributors md | blockchain |
|
meta-iotedge | meta iotedge this layer provides support for building iot edge https github com azure iotedge with yocto https www yoctoproject org please see the corresponding sections below for details adding the meta iotedge layer to your build use the branch of meta iotedge corresponding to your yocto release active and maintained kirkstone https github com azure meta iotedge tree main git clone b main https github com azure meta iotedge git dunfell https github com azure meta iotedge tree dunfell git clone b dunfell https github com azure meta iotedge git run bitbake layers add layer meta iotedge not active and not maintained sumo https github com azure meta iotedge tree sumo git clone b sumo https github com azure meta iotedge git thud https github com azure meta iotedge tree thud git clone b thud https github com azure meta iotedge git warrior https github com azure meta iotedge tree warrior git clone b warrior https github com azure meta iotedge git zeus https github com azure meta iotedge tree zeus git clone b zeus https github com azure meta iotedge git branching strategy and timelines yocto release iot edge version branch name branch status kirkstone 1 4 x main active and maintained dunfell 1 4 x dunfell active and maintained through april 2024 dunfell 1 1 x dunfell 1 1 1 1 x is retired in dec 22 not maintained sumo 1 1 x sumo not active and not maintained thud 1 1 x thud not active and not maintained warrior 1 1 x warrior not active and not maintained zeus 1 1 x zeus not active and not maintained 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 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 label 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 | yocto-layer iot iotedge | server |
codeCamp | backend challenges boilerplate package json run on repl it https repl it badge github freecodecamp boilerplate npm https repl it github freecodecamp boilerplate npm | server |
|
react-node-express-project-quickstart | react express project startup structure this is a startup project with a basic express server to return a react application to use npm install npm run webpack npm start to test npm test can be easily uploaded to google cloud platform azure heroku or aws as a node js application and run out of the box | server |
|
SZUBP-project | szubp project the project is for the subject of database management systems in the master s studies of the faculty of electronics engineering | server |
|
token-profile | token profile guideline read this in other languages english readme md readme zh cn md this repository repo provides the details about self submitting token information to imtoken via github what is token profile token profile is the detailed information of the token issued by the project party imtoken 2 0 provides a dedicated display page for the token profile to give users a more complete overview of tokens the page is located at wallet tab token for example eth token profile button right top corner the page is displayed as follows wallet tab tutorial sample png overview imtoken supports the submission of erc20 and eos token profile please select the corresponding tutorial to understand the specific procedures erc20 token profile guideline tutorial erc20 tutorial en md eos token profile guideline tutorial eos tutorial en md suggestions since the submission of the token profile involves many aspects github usage logo design project information introduction etc we recommend that the token profile submission to be done by your market operations staff developers and designers together imtoken will process the application within 5 business days copyright 2021 copy imtoken pte ltd | blockchain wallet imtoken | blockchain |
iot-devkit-samples | discontinuation of project this project will no longer be maintained by intel intel has ceased development and contributions including but not limited to maintenance bug fixes new releases or updates to this project intel no longer accepts patches to this project intel iot developer kit samples these samples are intented as a walkthrough to guide you through using the devkit libraries some samples might require additional libraries or sdks be installed on your target boards refer to each sample s documentation branches these samples are released with intel system studio releases latest intel system studio release master intel system studio 2019 gold current intel system studio 2018 iss2018 gold intel system studio 2018 update 1 iss2018 update1 intel system studio 2018 update 2 iss2018 update2 intel system studio 2019 beta iss2019 beta intel system studio 2019 gold iss2019 gold intel system studio 2019 update 1 iss2019 update1 intel system studio 2019 update 2 iss2019 update2 intel system studio 2019 update 3 iss2019 update3 intel system studio 2019 update 4 iss2019 update4 intel system studio 2020 iss2020 contributing all contributions to this repository must be signed off in accordance with mraa docs contributing md see the mraa documentation for more information | server |
Subsets and Splits