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PCA-EVAL | h1 align center pca eval h1 p align center a href https pca eval github io img alt static badge src https img shields io badge documentation online green a a href https arxiv org abs 2310 02071 img alt static badge src https img shields io badge paper arxiv red a p pca eval is an innovative benchmark for evaluating multi domain embodied decision making specifically focusing on the performance in perception cognition and action it is proposed in paper towards end to end embodied decision making via multi modal large language model explorations with gpt4 vision and beyond https arxiv org abs 2310 02071 benchmark div align center img width 400 src imgs sun jpg domain and required ability distribution of pca eval div examples traffic domain div align center img width 600 src imgs traffic example png div domestic robot domain div align center img width 600 src imgs alfred example png div game domain div align center img width 600 src imgs mc example png div run evaluation bash git clone https github com pkunlp icler pca eval git cd pca eval end2end method in the end2end method the prompt utilized for each instance along with its corresponding image name is provided in json format within the data directory specific to each domain for example bash pca eval data v1 0 autonomous driving end2end prompts json pca eval data v1 0 domestic robot end2end prompts json pca eval data v1 0 open world game end2end prompts json you can seamlessly pass both the image and the prompt to your multimodal model to obtain results the output for each instance should be saved in json file in the format of json index 0 model output xxxxx index 1 model output xxxxx holmes method for holmes method using llm we provide jupyter notebooks for openai model tested in our paper by changing the openai key and data path you could reproduce the results easily bash pca eval evaluation holmes autonomous driving ipynb pca eval evaluation holmes domestic robot ipynb pca eval evaluation holmes game ipynb the output for each instance should be saved in json file in the format of json index 0 model output xxxxx index 1 model output xxxxx automatic scoring full scores we utilize the semantic parsing ability of powerful llm like chatgpt to conduct automatic scoring for perception cognition and action scores by default we use gpt 4 for evaluation we find chatgpt eval would lead to a much higher result than the real scores gpt4 eval could get results close to human ratings at 90 accuracy bash python pca eval evaluation pca auto scoring py meta data pca eval data v1 0 open world game meta data json path to the meta data model output chatgpt output json model output file in json format openai key sk xxxxxxxxxx your openai key output path chatgpt result json path to save the result action scores for models that can not generate reasons we provide a script to automatically score the action scores with chatgpt bash python pca eval evaluation pca auto scoring action py meta data pca eval data v1 0 open world game meta data json path to the meta data model output chatgpt output json model output file in json format openai key sk xxxxxxxxxx your openai key output path chatgpt result action only json path to save the result evaluation rule to make fair evaluation and comparison among different models make sure you use the same llm evaluation model we use gpt4 for all the models you want to evaluate using a different scoring model or api updating might lead to different results citation bib article chen2023endtoend title towards end to end embodied decision making via multi modal large language model explorations with gpt4 vision and beyond author liang chen and yichi zhang and shuhuai ren and haozhe zhao and zefan cai and yuchi wang and peiyi wang and tianyu liu and baobao chang year 2023 journal arxiv | ai |
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MOOSE | large language models for automated open domain scientific hypotheses discovery p align center width 100 img src moose and tomato png alt moose style width 35 display block margin auto a p this repo is the official implementation of the paper large language models for automated open domain scientific hypotheses discovery https arxiv org pdf 2309 02726 pdf in general you may directly display results from existing checkpoints where we store the generated hypotheses and evaluation scores by gpt4 human expert or you may generate hypotheses and evaluate the generated hypotheses by gpt4 with our code display results in table 3 and table 4 python compare score py display results in table 5 and table 6 python read expert eval py display results in table 7 and table 8 it can be done by adjusting the method name1 varibale in compare score py specifically method name1 can be set to rand background baseline rand background rand inspiration baseline rand background bm25 inspiration baseline gpt35 background gpt35 inspiration moose wo ff1 moose wo ff2 moose wo survey and moose w random corpus hypotheses generation with moose moose can be run with the python command in main sh option parameters for the python command can be adjusted specifically the function for the options are described below num background for hypotheses how many number of background to find for hypotheses generation each background will be used to generate a set of hypotheses num colm feedback times number of present feedback iterations bkg corpus chunk noter start from which background corpus to find background if indirect feedback if run past feedback 0 no 1 yes if only indirect feedback advanced options for past feedback by default is 0 if close domain if adopts groundtruth background and inspirations for hypotheses generation 0 not adopt 1 adopt if ban selfeval if ban future feedback 1 0 run future feedback 1 1 not run future feedback 1 if baseline baseline options by default is 0 if novelty module have access to surveys 0 no access 1 have access if insp pasg for bkg and bkg pasg included in insp if randomized corpus 0 no 1 yes by default is 0 if hypothesis suggstor if run future feedback 2 0 not run future feedback 2 1 run future feedback 2 api key your openai api key to run gpt 3 5 turbo hypotheses evaluation with gpt4 hypotheses can be evaluated by gpt4 with the python command in evaluation main sh specifically the function for the options are described below if groundtruth hypotheses if evaluate groundtruth hypotheses by default is 0 model name model used for evaluation by default is gpt4 num colm feedback times number of present feedback iterations used for generating the hypotheses start id the background corpus id as start to generate hypotheses end id the background corpus id as end to generate hypotheses if azure api whether the api is from azure set to 0 if the api is from openai api key your openai api key to run gpt 4 for evaluation functions of other python files consistency between expert gpt4 py used to display the consistency score between gpt4 evaluation and human expert evaluation data format converter py used to transform expert annotated data file to usable data file mostly format transformation expert eval random order to normal order py transform expert evaluated file from random order to minimize bias from expert to normal order to calculate consistency pick hyp for expert eval py used to randomly pick hypotheses for expert evaluation read from pdf py extract text contents from social science survey paper | ai |
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Co-LLM-Agents | building cooperative embodied agents modularly with large language models this repo contains codes for the following paper hongxin zhang weihua du jiaming shan qinhong zhou yilun du joshua b tenenbaum tianmin shu chuang gan building cooperative embodied agents modularly with large language models paper arxiv https arxiv org abs 2307 02485 project website co llm agents https vis www cs umass edu co llm agents pipeline assets pipeline png news 9 4 2023 we add the vision detection module in threedworld multi agent transport with a fine tuned resnet model now the environment supports both ground truth segmentation and vision detection versions if you want to use it please take a look at the readme envs tdw mat readme md in tdw mat for a detailed description 8 1 2023 we update the virtualhome simulator executable we used here https drive google com file d 1jtrv5jdf lqvwy3osv3jd3r6prghyhbp view usp sharing if you met xdg runtime dir not set in the environment error previously please check if you are using the new version we provided installation for detailed instructions on the installation of the two embodied multi agent environments communicative watch and help and threedworld multi agent transport please refer to the setup sections in envs cwah readme md and envs tdw mat readme md respectively a simple start guide for communicative watch and help step 1 get the virtualhome simulator and api clone the virtualhome api https github com xavierpuigf virtualhome git repository under envs bash cd envs git clone branch wah https github com xavierpuigf virtualhome git download the simulator https drive google com file d 1jtrv5jdf lqvwy3osv3jd3r6prghyhbp view usp sharing linux x86 64 version and unzip it in envs the files should be organized as follows bash cwah virtualhome executable step 2 install requirements bash cd cwah conda create name cwah python 3 8 conda activate cwah pip install r requirements txt a simple start guide for threedworld multi agent transport run the following commands step by step to set up the environments bash cd envs tdw mat conda create n tdw mat python 3 9 conda activate tdw mat pip3 install e if you re running tdw on a remote linux server follow the tdw installation document https github com threedworld mit tdw blob master documentation lessons setup install md to configure the x server after that you can run the demo scene to verify your setup bash python demo demo scene py run experiments the main implementation code of our cooperative llm agents is in envs llm and envs lm agent py we also prepare example scripts to run experiments with hp baseline and our cooperative llm agent under the folder envs scripts for example to run experiments with two llm agents on communicative watch and help run the following command in folder envs cwah scripts symbolic obs llm llm sh environment details communicative watch and help c wah communicative watch and help c wah is an extension of the watch and help challenge https github com xavierpuigf watch and help which enables agents to send messages to each other sending messages alongside other actions takes one timestep and has an upper limit on message length tasks five types of tasks are available in c wah named prepare afternoon tea wash dishes prepare a meal put groceries and set up a dinner table these tasks include a range of housework and each task contains a few subgoals which are described by predicates a predicate is in on in x y format that is put x on in y the detailed descriptions of tasks are listed in the following table task name predicate set prepare afternoon tea on cupcake coffeetable on pudding coffeetable on apple coffeetable on juice coffeetable on wine coffeetable wash dishes in plate dishwasher in fork dishwasher prepare a meal on coffeepot dinnertable on cupcake dinnertable on pancake dinnertable on poundcake dinnertable on pudding dinnertable on apple dinnertable on juice dinnertable on wine dinnertable put groceries in cupcake fridge in pancake fridge in poundcake fridge in pudding fridge in apple fridge in juice fridge in wine fridge set up a dinner table on plate dinnertable on fork dinnertable the task goal is to satisfy all the given subgoals within 250 time steps and the number of subgoals in each task ranges from 3 to 5 metrics average steps l number of steps to finish the task efficiency improvement ei the efficiency improvements of cooperating with base agents threedworld multi agent transport tdw mat we extend the threedworld transport challenge https arxiv org abs 2103 14025 into a multi agent setting with more types of objects and containers more realistic object placements and support communication between agents named threedworld multi agent transport tdw mat built on top of the tdw platform https www threedworld org the agents are tasked to transport as many target objects as possible to the goal position with the help of containers as tools one container can carry most three objects and without containers the agent can transport only two objects at a time the agents have the ego centric visual observation and action space as before with a new communication action added tasks we selected 6 scenes from the tdw house dataset and sampled 2 types of tasks and 2 settings in each of the scenes making a test set of 24 episodes every scene has 6 to 8 rooms 10 objects and a few containers an episode is terminated if all the target objects have been transported to the goal position or the maximum number of frames 3000 is reached the tasks are named food task and stuff task containers for the food task can be found in both the kitchen and living room while containers for the stuff task can be found in the living room and office the configuration and distribution of containers vary based on two distinct settings the enough container setting and the rare container setting in the enough container setting the ratio of containers to objects stands at 1 2 and containers associated with a specific task are located in no more than two rooms on the other hand in the rare container setting the container to object ratio decreases to 1 5 this distribution differs from the enough container setting as containers in the rare container setting are strictly localized to a single room one example of scenes target objects and containers is shown in the following image task description tdw assets task description tdw png metrics transport rate tr the fraction of the target objects successfully transported to the goal position efficiency improvements ei the efficiency improvements of cooperating with base agents interesting cases we noticed many interesting agents behaviors exhibited in our experiments and identified several cooperative behaviors there are more interesting cases and demos on our website https vis www cs umass edu co llm agents qualitative results assets qualitative results png citation if you find our work useful please consider citing article zhang2023building title building cooperative embodied agents modularly with large language models author zhang hongxin and du weihua and shan jiaming and zhou qinhong and du yilun and tenenbaum joshua b and shu tianmin and gan chuang journal arxiv preprint arxiv 2307 02485 year 2023 | ai |
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NLP-with-JavaScript | nlp with javascript natural language processing using javascript understanding everyday language common libraries packages compromise js natural sentiment franc talisman etc nlp with compromise js tokenization part of speech tagging word transformation entity recognition match finding etc nlp with natural js tokenization stemming word inflectors sentiment analysis naive bayes classifiers phonetics ngrams etc nlp with sentiment js for sentiment analysis nlp with franc language detection j secur1ty jesus saves jcharistech | ai |
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dart-json-server | json server launch json server for web and mobile apps development from cli without complicated backend setup installation you can install the package from the command line sh pub global activate json server usage the cli is named jserver jserver data path to json file available options you can use d data path to json database file required h host specify the ip address to serve default to 127 0 0 1 p port specify the port to use default to 1711 json format typically for json database you need to use following structure json api path 1 response object 1 api path 2 response object 2 api path must start with a slash to mark it as a serving path for api response object should be either array or object examples to start a default server which binds to 127 0 0 1 1711 using database json jserver d database json to start server at localhost 8888 using api json for database jserver h localhost p 8888 d api json license mit license md 2019 pete houston https petehouston com | dart dartlang dart2 dart-package dart-cli flutter dart-server command-line cli cli-app webdev hacktoberfest | front_end |
AWS-Academy | aws academy aws cloud practitioner aws cloud developer | aws aws-ec2 aws-iam aws-lambda aws-s3 aws-vpc containers | cloud |
ring-serve | ring serve ring serve provides a convenient way of starting a web server for a ring handler features the serve macro is safe to run multiple times finds a free port if you do not specify one opens up a web browser to view your handler or if you don t want this call the serve headless macro instead automatically takes into account any changes made to your handler wraps your handler in the wrap stacktrace middleware ensures that the swank core break function works correctly inside your handler example user defn handler request status 200 headers content type text plain body hello world user handler user use ring util serve nil user serve handler started web server on port 3000 nil user stop server stopped web server nil installation include the following dependency in your leiningen project file ring serve 0 1 2 | front_end |
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express-calculator | express calculator my first web app made with node js express js it is a very basic calculator which performs only addition and basic bmi calculation with a backend script my first step towards back end development how to use this 1 clone this repository in your local environment by the following command br git clone https github com guptasajal411 express calculator git 2 use npm node package manager to install dependencies for this project br this app uses express js and body parser for working you can install these by executing this command br npm install express and br npm install body parser 3 now use node js to start the server with calculator js br node calculator js 4 go to localhost 3000 on your browser give inputs to the calculator 5 the calculator sends this data to the server script calculator js where it gets parsed by body parser the calculation is then done at server side after that the server sends the output to the browser where it gets displayed screenshots addition input https user images githubusercontent com 70312106 125315900 353f5380 e355 11eb 84d8 caee9d9903f4 png addition output https user images githubusercontent com 70312106 125316027 5738d600 e355 11eb 81f2 4dc1d4885225 png bmi input https user images githubusercontent com 70312106 125316358 ae3eab00 e355 11eb 802c 1f7fe7fe6620 png bmi output https user images githubusercontent com 70312106 125316398 b860a980 e355 11eb 9c02 b417f7eaf368 png | nodejs npm nodemon body-parser javascript html5 expressjs calculator | server |
x-build | x build x build vue3 https v3 cn vuejs org typescript vite 150kb 50kb gzip https code device github io x build cli x build cli command line interface x build x build x build fork pinia ts mitt hooks vueuse https vueuse org guide axios svg keep alive gzip pwa ui less sass scss title eslint airbnb stylelint husky commitlint badge text chrome vertical middle chrome 80 badge type danger text ie vertical middle ie edge firefox chrome safari not support last 2 versions last 2 versions last 2 versions last 2 versions document vue3 vuepress2 pr issue contribution readme md | typescript vue3 pinia vite | front_end |
FlowGraph | concept flow plug in for unreal engine is a design agnostic event node editor it provides a graph editor tailored for scripting flow of events in virtual worlds it s based on a decade of experience with designing and implementing narrative in video games all we need here is simplicity the aim of publishing it as open source project is to let people tell great stories and construct immersive worlds easier that allows us to enrich video game storytelling so we can inspire people and make our world a better place flow101 https user images githubusercontent com 5065057 103543817 6d924080 4e9f 11eb 87d9 15ab092c3875 png a single node in this graph is a simple uobject not a function like in blueprints this allows you to encapsulate the entire gameplay element logic with its data within a single flow node the idea is that your write a repeatable event script only once for the entire game unlike blueprints flow node is async latent by design active node usually subscribe to delegates so it can react to event by triggering output pin or whatever you choose to every node defines its own set of input output pins it s dead simple to design the flow of the game just connect nodes representing features developers creating a flow node can call the execution of pins any way they need api is extremely simple editor supports convenient displaying debug information on nodes and wires while playing a game you simply provide what kind of message would be displayed over active flow nodes you can t have that with blueprint functions it s up to you to add game specific functionalities by writing your nodes and editor customizations it s not like a marketplace providing the very specific implementation of systems it s a convenient base for building systems tailored to fit your needs read documentation on the project wiki i d recommend starting from reading about design philosophy https github com mothcocoon flowgraph wiki it s easy to include plugin in your own project follow this short getting started https github com mothcocoon flowgraph wiki getting started guide in depth video presentation this 24 minute presentation breaks down the concept of the flow graph trust me you want to understand concept properly before diving into implementation introducing flow graph for unreal engine https img youtube com vi baqhccgkx k 0 jpg https www youtube com watch v baqhccgkx k acknowledgements i got an opportunity to work on something like the flow graph at reikon games they shared my enthusiasm for providing the plugin as open source and as such allowed me to publish this work and keep expanding it as a personal project kudos guys reikon badly wanted to build a better tool for implementing game flow rather than level blueprints or existing marketplace plug ins i was very much interested in this since the studio was just starting with the production of a new title and we did exactly that created a node editor dedicated to scripting game flow kudos to dariusz murawski a programmer who spent a few months with me to establish the working system and editor and who had to endure my never ending feedback and requests i feel it s important to mention that i didn t invent anything new here with the flow graph it s an old and proven concept i m just one of many developers who decided it would be crazy useful to adopt it for unreal engine and this time also to make it publicly available as an open source project such simple graph based tools for scripting game screenplay are utilized for a long time traditionally rpg games needed such tools as there a lot of stories quests dialogues the best narrative toolset i had the opportunity to work with is what cd projekt red built for the witcher series sadly you can t download the modding toolkit for the witcher 2 yeah it was publically available for some time still you can watch the gdc talk by piotr tomsi ski on cinematic dialogues in the witcher 3 wild hunt https www youtube com watch v chf3rezajgi it includes a brief presentation how quest and dialogue editors look like it wouldn t be possible to create such an amazing narrative game without this kind of toolset i did miss that so much when i moved to the unreal engine at some point i felt comfortable enough with programming editor tools so i decided to build my own version of such toolset meant to be published as an open source project i am thankful to reikon bosses they see no issues with me releasing flow graph which is obviously similar to our internal tool in many ways i mean it s so simple concept of single node representing a single game feature and it s based on the same ue4 node graph api some corporations might have an issue with that | unreal-engine game-development narrative-design storytelling unreal | os |
Guides | guides guides for learning doing better web and app development created by coding for entrepreneurs http joincfe com common django url regular expression patterns regex all common url regex md celery redis with django all celery redis with django md create a local blank django project all create a local django project md django image field and the python image library all imagefield and pillow md django geolocation all django geolocation md django translation all django translation md render to pdf in django all render to pdf in django md reactivate virtual environment all reactivate virtualenv md reactivar un entorno virtual es reactivar un virtualenv md using south in django all using south in django md kill server when errors occor all kill server md social sharing with html links all social share links md angular webserver with rack all angular webserver md iot raspberry pi django pi network server guide raspberry pi django all djangopinetworkserverguide md homebaked parts list raspberry pi django all homebakedpartslist md installation guides python django on mac and linux all install django mac linux md python django on windows all install django windows md gu as de instalaci n python y django para mac y linux es instalacion python y django mac osx and linux md python y django para windows es instalacion python y django windows md database installation install postgresql on mac or linux all install postgresql mac linux md install postgresql on windows all install postgresql windows md using postgresql with django all postgresql and django md mac only installations carthage all install carthage md cocoapods all install cocoapods md deployment guides amazon web services elastic beanstalk django all elastic beanstalk django md s3 staticfiles for django all s3 staticfiles django md heroku heroku django deployment guide all heroku django deployment guide md webfaction webfaction django deployment guide all webfaction django deployment guide md linode linode django deployment guide all linodedjangodeploymentguide md digital ocean digital ocean django deployment guide all digital ocean django deployment guide md debian linux server django setup guide debian django apache2 setup guide all debian install django apache2 md | django raspberry-pi raspberry-pi-django entrepreneurs python linux macos windows django-framework setup guides webfaction linode digital-ocean heroku regular-expressions | front_end |
eva | eva design system img src https i imgur com omcxwz0 png alt eva design system height 20px https eva design npm https img shields io npm l eva design eva svg npm https img shields io npm dt eva design eva svg https www npmjs com package eva design eva customizable design system easily adaptable to your brand available for sketch with mobile and web component libraries documentation https eva design utm source github utm medium eva readme a href https eva design utm source github utm medium eva cover img src https i imgur com e7c07f2 png a what s included sketch file with hundreds of symbols and dozens of style settings web and mobile well known ui component libraries svg eva icons support 480 general purpose icons 2 visual themes with dark mode quick start designers eva design system https eva design product homepage eva icons https akveo github io eva icons ui icon set eva sketch file https gumroad com akveo ui library ui kits etc quick start developers nebular https github com akveo nebular quick start angular ui library quick start guide ui kitten https github com akveo react native ui kitten quick start react native ui library quick start guide license code mit license txt license design resources skech mit with restriction to distribute design license txt license more from akveo eva icons https github com akveo eva icons 480 beautiful open source icons how can i support the developers star our github repo star create pull requests submit bugs suggest new features or documentation updates wrench read us on medium https medium com akveo engineering follow us on twitter https twitter com akveo inc feet like our page on facebook https www facebook com akveo thumbsup from developers made with heart by akveo team http akveo com utm source github utm medium nebular readme follow us on twitter https twitter com akveo inc to get the latest news first we re always happy to receive your feedback | design-system design ui-components angular react-native | os |
termcoin | termcoin termcoin is no longer maintained note that termcoin is no longer maintained it is not recommended for use termcoin bitcoin wallet and blockchain explorer for your terminal written for node js termcoin s ui is rendered by blessed blessed which is a full ncurses replacement and high level widget library expect mouse support eye candy hover effects and so on termcoin s bitcoin implementation is now based on bcoin bcoin which fully implements bip 37 bip37 s description of bloom filters this basically means you don t have to download the entire blockchain to use your wallet you ask for and store only the transactions relevant to you broadcasted in your bloom filter while at the same time being able to verify the merkleroot of blocks the blockchain explorer currently uses the blockchain info json api blockchain api as a backend in the future termcoin will leave an option for the user to download the entire blockchain in the background using bcoin out of sheer obsession i implemented the original satoshi protocol in bcoin which means you will be able to explore the blockchain on your local disk instead of waiting for api calls to return for data management termcoin uses tiny tiny as the database necessary to store the small blockchain data and transactions relevant to your account bcoin bcoin was conceived brilliantly and fedor indunty indutny also went to the trouble of writing an ecdsa ecdsa and bignumber bn library in pure javascript to supplement bcoin with all this being said it s worth pointing out that termcoin is written entirely in pure javascript all of this means no compiling a database binding no compiling a binding to an ecdsa library no linking to ncurses no running a bitcoin rpc server in the background no downloading a 20gb blockchain just use your wallet and enjoy termcoin uses a basic json wallet format with private keys that are compatible with bitcoind s importprivkey dumpprivkey 128 prefixed checksumed base58 keys it also supports aes cbc encryption for your private keys just like the official bitcoin client note termcoin used to use bitcoind litecoind etc as a backend this backend is still supported for other currencies it s just not as featureful due to limitations in the coin d rpc server screenshots https raw githubusercontent com chjj termcoin master img 01 png https raw githubusercontent com chjj termcoin master img 02 png https raw githubusercontent com chjj termcoin master img 03 png https raw githubusercontent com chjj termcoin master img 04 png https raw githubusercontent com chjj termcoin master img 05 png https raw githubusercontent com chjj termcoin master img 06 png https raw githubusercontent com chjj termcoin master img 07 png https raw githubusercontent com chjj termcoin master img 08 png https raw githubusercontent com chjj termcoin master img 09 png https raw githubusercontent com chjj termcoin master img 10 png https raw githubusercontent com chjj termcoin master img 11 png https raw githubusercontent com chjj termcoin master img 12 png https raw githubusercontent com chjj termcoin master img 13 png https raw githubusercontent com chjj termcoin master img 14 png https raw githubusercontent com chjj termcoin master img 15 png https raw githubusercontent com chjj termcoin master img 16 png https raw githubusercontent com chjj termcoin master img 17 png https raw githubusercontent com chjj termcoin master img 19 png install bash if debian sudo apt get install nodejs if arch sudo pacman s nodejs sudo npm install termcoin g termcoin usage bash termcoin import your bitcoind wallet bash bitcoind dumpwallet wallet dump termcoin import wallet wallet dump open our much nicer format less termcoin wallet json example wallet js version 1 ts 1402363259 encrypted false compressed true balance 0 10981134 accounts address 1lzcrow4haam6j4vykhmefqdhcae1vbjtc label main priv l2bka1uvakqdlabdopuyewttd8a416fjhhyeq99nmadyeuotsfeg pub nfb3c1yquakfoee1a98q1hx9hjcp3kax3a5uhenvfwmj balance 0 00993134 tx 32 address 1q3tmmnwdu3pqqhc3hdt3l5gs26p7fdtyd label secondary priv l2aca1uvakqdlabdopuaewttd8a416fjhhyeq99nmadyeuotsfhf pub hy29vua4xfrs4vdud4af3cjkmoh5xegu6vzgnbqjttcm balance 0 09488 tx 10 address 1bkrklfuym8bss5duwrhpxkc8ufymscaan label test priv l2kea1uvakqdlabdopuuewttd8a416fjhhyeq99nmadyeuotseya pub 26srzoofarazwtqiiqx9lzwtacupwovs6qtdq7cx3qyga balance 0 005 tx 5 recipients 195cjskbuztpw7ue7mtb6mhep8c3wlkaje noodles 1rvx9ezsa3zsmc1qtehnaitxj64foyage maxie dump your wallet to the standard format bash termcoin dump wallet bitcoin importwallet wallet dump other cryptocurrencies termcoin by default tries to connect to the rpc server in coin coin conf but it can also be specified directly bash termcoin http coinrpc foobar localhost 8332 to explicitly use for other cryptocurrencies this will sadly use litecoind rather than a native litecoin implementation bash termcoin c litecoin advantages runs in a terminal possible to use over ssh easier than using bitcoind directly no compilation required no 20gb blockchain download required easy wallet management does it get easier than a json file can optionally use bitcoind as a backend which means it is also possible to use with litecoin namecoin dogecoin etc optional external dependencies these aren t necessary but they might make things nicer for you qrencode for qr codes rendered in your terminal xsel xclip clipboard support for x11 pbcopy clipboard support for osx donations btc 14uwzi7hy2gqkuva1poz7vyxk9szwaj6cr ltc lg2fytzn1yrgmuabl5xyhmjiczvwm6f2z1 doge dawtjssd9y3hqp5vtxqzhsdshxkdzdxort coye 5vqi6wybk6fixq4a1ypijzxjtjkmbnafpu dislaimer and note it is your own responsibility to backup and keep your wallet privkeys safe the termcoin developer s will not be responsible if your coins are lost deleted or stolen termcoin automatically makes a backup of your wallet every time you write to it keep this in mind when encrypting it contribution and license agreement if you contribute code to this project you are implicitly allowing your code to be distributed under the mit license you are also implicitly verifying that all code is your original work legalese license copyright c 2014 christopher jeffrey mit license see license for more info blessed https github com chjj blessed tiny https github com chjj tiny indutny https github com indutny bn https github com indutny bn js ecdsa https github com indutny elliptic bcoin https github com indutny bcoin bip37 https github com bitcoin bips blob master bip 0037 mediawiki blockchain api https blockchain info api blockchain api | blockchain |
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ptm | practical introduction to text mining binder https notebooks gesis org binder badge svg https notebooks gesis org binder v2 gh gesiscss ptm master filepath index ipynb lecturer s dr andreas niekler is a researcher at leipzig university he studied media technology at htwk leipzig and the university of west scotland after two years working as a freelance programmer and teacher at the leipzig school of media he joined the nlp group at leipzig university in his dissertation project he worked with automated methods for content and topic analyses in news oriented text sources dr arnim bleier is a postdoctoral researcher in the department computational social science at gesis his research interests are in the field of natural language processing and computational social science in collaboration with social scientists he develops bayesian models for the content structure and dynamics of social phenomena date 18 04 19 04 2018 contents the workshop provides an introduction to natural language processing nlp with a special emphasis on the analysis of job advertisements nlp techniques enable researchers to describe contents of a collection of documents or filter a huge collection for specific thematic aspects this workshop concentrates on the basic concepts needed for quantitative text analysis it provides an overview starting with issues related to data import frequency analysis and continues with co occurrence analysis participants take part in short theoretical lectures and will be provided with r scripts to compute own models in exemplary tutorials goals the course is targeted at labour market researchers and researchers form the humanities who are interested in analyzing large textual data sets participants will learn about opportunities and limits of text mining methods to analyze qualitative and quantitative aspects of large text collections with example scripts provided in the programming language r participants will learn how to realize single steps of such an analysis on a corpus of job advertisements we cover a range of text mining methods from simple lexicometric measures such as word frequencies key term extraction and co occurrence analysis furthermore we provide a short overview of more complex machine learning approaches such as topic models and supervised text classification the goal is to provide a broad overview of technologies that are already established in the social sciences and that have the potential to be used in nlp based labour market research requirements the workshop is hands on oriented and we will used the programming language r thus we strongly recommend some basic knowledge of r if you already have a certain amount of knowledge in another programming language learning r will be easy for you however since r is a statistical programming language some of its concepts largely differ from other languages for participants without basic knowledge of r we strongly recommend to learn at least a little in preparation of the course for this we provide links to material and online tutorials prior to the course through the gesis e learning platform for a very brief overview of common r commands see basic r functions tutorial 0 ipynb tutorials the course consists of tutorials originally described in this paper http gscl2017 dfki de proceedings php 1 processing of textual data tutorial 1 ipynb 2 frequency analysis tutorial 2 ipynb 3 key term extraction tutorial 3 ipynb 4 co occurrence analysis tutorial 4 ipynb 5 model inference tutorial 5 ipynb 6 model application and visualization tutorial 6 ipynb license these notebooks are built on tm4ss text mining for social scientists and digital humanists https tm4ss github io by gregor wiedemann and andreas niekler wiedemann gregor niekler andreas 2017 hands on a five day text mining course for humanists and social scientists in r proceedings of the 1st workshop teaching nlp for digital humanities teach4dh gscl 2017 berlin funded partially by the german research foundation dfg fkz project number 324867496 https gepris dfg de gepris projekt 324867496 context projekt task showdetail id 324867496 | text-mining r nlp labour-market binder data-science information-retrieval topic-modeling | ai |
nuttx-riscv64 | apache nuttx rtos on 64 bit qemu risc v emulator https lupyuen github io images riscv title png apache nuttx rtos on 64 bit qemu risc v emulator https github com apache nuttx tree master boards risc v qemu rv rv virt apache nuttx rtos on 64 bit risc v read the articles 64 bit risc v with apache nuttx real time operating system https lupyuen github io articles riscv rolling to risc v https lupyuen github io articles pinephone2 rolling to risc v porting nuttx to star64 sbc apache nuttx rtos for pine64 star64 64 bit risc v sbc starfive jh7110 https github com lupyuen nuttx star64 todo 1 so we re moving from arm64 to risc v yep we have a fresh new opportunity to teach the risc v 64 bit architecture from scratch and hopefully risc v devices will still be around after 8 years 1 we re porting nuttx to a risc v phone sadly there isn t a risc v phone yet thus we ll port nuttx to a risc v tablet instead pinetab v https wiki pine64 org wiki pinetab v 1 but pinetab v isn t shipping yet that s ok we ll begin by porting nuttx to the star64 sbc https wiki pine64 org wiki star64 which runs on the same risc v soc as pinetab v starfive jh7110 https doc en rvspace org doc center jh7110 html hopefully we have better docs and tidier code than the older arm64 socs 1 hopping from arm64 to risc v sounds like a major migration actually we planned for this one year ago https www mail archive com dev nuttx apache org msg08395 html nuttx already runs ok on the 64 bit qemu risc v emulator https github com apache nuttx tree master boards risc v qemu rv rv virt pic below so the migration might not be so challenging after all | nuttx riscv riscv64 rtos | os |
MovieMatchApp | movietinderapp bachelor thesis react native app app based on functionality of recommender systems by swiping the movies you are creating your own profile of preferences you can also pair with other user and have a session together where you will see your matches alt text https i ibb co 5kbz14m hnet com image 1 png | recommender-system react-native moviesapp swiping | server |
archivematica | github ci https github com artefactual archivematica actions workflows test yml badge svg https github com artefactual archivematica actions workflows test yml codecov https codecov io gh artefactual archivematica branch qa 1 x graph badge svg token tklfjhmrlc https codecov io gh artefactual archivematica archivematica https www archivematica org by artefactual https www artefactual com archivematica is a web and standards based open source application which allows your institution to preserve long term access to trustworthy authentic and reliable digital content our target users are archivists librarians and anyone working to preserve digital objects you are free to copy modify and distribute archivematica with attribution under the terms of the agplv3 license see the license license file for details installation production installation https www archivematica org docs latest admin manual installation setup installation installation development installation https github com artefactual archivematica tree qa 1 x hack other resources website https www archivematica org user and administrator documentation wiki https www archivematica org wiki development developer facing documentation requirements analysis and community resources issues https github com archivematica issues git repository used for tracking archivematica issues and feature enhancement ideas user google group https groups google com forum forum archivematica forum mailing list for user questions both technical and end user paid support https www artefactual com services paid support hosting training consulting and software development contracts from artefactual contributing thank you for your interest in archivematica for more details see the contributing guidelines contributing md reporting an issue issues related to archivematica the storage service or any related repository can be filed in the archivematica issues repository https github com archivematica issues issues security if you have a security concern about archivematica or any related repository please see the security file security md for information about how to safely report vulnerabilities related projects archivematica consists of several projects working together including archivematica https github com artefactual archivematica this repository main repository containing the user facing dashboard task manager mcpserver and clients scripts for the mcpclient storage service https github com artefactual archivematica storage service responsible for moving files to archivematica for processing and from archivematica into long term storage format policy registry https github com artefactual archivematica tree qa 1 x src dashboard src fpr submodule shared between archivematica and the format policy registry fpr server that displays and updates fpr rules and commands for more projects in the archivematica ecosystem see the getting started https wiki archivematica org getting started projects page | digital-preservation archivematica | os |
remo-python | p align center img src https github com rediscovery io remo python blob master img remo normal png width 200 p p align center a href https pypi org project remo img src https img shields io pypi v remo python svg color cool logo pypi logocolor white a a href https pypi org project remo img src https img shields io pypi dm remo color cool logo pypi logocolor white a p p align center a href welcome to remo welcome a a href deciduous tree features features a a href smirk quick installation installation a a href rabbit remo python library python library a a href tada whats new what s new a a href gift what we are working on next what s next a a href bookmark cite cite a a href bug get in touch get in touch a p welcome to remo remo is a web based application to organize annotate and visualize computer vision datasets it has been designed to be your team s private platform to manage images in an end to end fashion br use remo to access your datasets from one place avoiding scattered files and keeping data secure locally quickly annotate your images we designed our annotation tool from the ground up build better datasets and models by exploring in depth your images and annotations data collaborate with your team accessing the same data remotely remo runs on windows linux mac or directly in google colab notebooks it can also be served on a private server for team collaboration or embedded in jupyter notebooks it s installed via pip or via docker this repo is the open source repo for the remo python library to access the docs and try the online demo https remo ai br p align center img width 500 src https i imgur com 47weeob gif p br deciduous tree features integration from code easily visualize and browse images predictions and annotations flexibility in slicing data without moving it around you can create virtual train test splits have data in different folders or even select specific images using tags allows for a more standardized code interface across tasks br p align center img src examples assets train test stats jpg height 220 p br annotation faster annotation thanks to an annotation tool we designed from the ground up manage annotation progress organize images by status to do done on hold and track completion one click edits on multiple objects rename or delete all the objects of a class duplicate sets of annotation supported formats polygons bounding boxes image labels and tags multiple import and export formats coco pascal csv etc convenient import and export options skip images without annotations append file paths label encoding etc read more here https remo ai docs annotation formats br br p align center img src examples assets annotation progress jpg height 150 p br dataset management centralized access to your data link directly to your images in whatever folder they are easily query your data searching by filename class tag immediately visualize aggregated statistics on your datasets manage multiple versions of your annotations using annotation sets br p align center img src examples assets dataset jpeg alt alt text height 200 br br rabbit remo python library you can see example of usage of the library in our documentiation or in the examples folder what where colab links documentation official docs https remo ai docs sdk intro intro notebook intro to remo python notebook examples intro to remo python ipynb uploading annotations upload annotations and predictions tutorial notebook examples tutorial upload annotations ipynb pytorch image classification using remo pytorch image classification notebook examples tutorial pytorch image classification ipynb im classification tutorial https colab research google com assets colab badge svg http colab research google com github rediscovery io remo python blob master examples google colab tutorial pytorch image classification ipynb pytorch object detection using remo pytorch object detection notebook examples tutorial pytorch object detection ipynb obj detection tutorial https colab research google com assets colab badge svg http colab research google com github rediscovery io remo python blob master examples google colab tutorial pytorch object detection ipynb pytorch instance segmentation with detectron 2 and remo pytorch instance segmentation notebook examples tutorial pytorch instance segmentation ipynb instance segmentation tutorial https colab research google com assets colab badge svg http colab research google com github rediscovery io remo python blob master examples google colab tutorial pytorch instance segmentation ipynb br smirk quick installation you can install remo via pip or via docker pip installation 1 in a python 3 6 environment pip install remo this will install both the python library and the remo app 2 initialise config python m remo app init that s it to launch remo run python m remo app to call remo from python once you have a server running use import remo docker installation here are the main steps to install remo via docker for more options and detailed instructions you can refer to the remo docker installation page https remo ai docs install using docker 1 download docker compose yml https remo ai docs assets docker compose yml 2 make sure you are using the latest tag available in docker hub https hub docker com r rediscoveryio remo tags 3 run the following from the same directory where the file lives docker compose up d 4 access remo by browsing to http localhost 8123 br tada what s new 01 sep 2020 added tutorial on remo for pytorch object detection 30 sep 2020 added export annotations with filtering by tags 30 oct 2020 added tutorial using pytorch s detectron2 and remo for instance segmentation 06 nov 2020 added ability to search images by filename class or tag you can now do dataset search images or remo search images br gift what we are working on next tighter integration with pytorch ability to split datasets in train vs test ability to store and inspect models performance in remo br bug get in touch if you have any issues around the library feel free to open an issue in the repo for anything else you can write on our a href https discuss remo ai target blank discuss forum a br bookmark cite bash misc remo2019 author remo ai title remo ai image datasets management howpublished url https github com rediscovery io remo python year 2019 raising hand for contributors contributions to the library are welcome before starting working on something we suggest to open an issue on the repo or open a thread on the a href https discuss remo ai target blank discuss forum a to present your plan it would be great if you could include what you plan to work on e g model predictions what s the use case e g i want to be able to calculate performance of my model what flow you envision e g i have annotated data in remo i run the model and save predictions i run some code to print performance on the prediction any mod you d like to see in the remo app itself e g it d be great to see an interactive chart of model performance in the app we are looking for help with the following but we are also open to suggestions integration with deep learning frameworks pytorch pytorch lightning tensorflow keras fast ai expand on the design of annotation image and annotationset objects general summary statistics exporting annotations statistics on comparison of two annotation sets performance statistics on comparison of two annotation sets one being predictions structure of the library the library is organized in 3 main layers api sdk domain objects such as datasets we exepect the end user to use mainly the sdk layer and domain objets api is responsible for low level communication with the server it mostly returns raw data sdk doesn t access backend endpoints directly rather it uses the api layer for that this layer knows about domain objects so instead of raw data it returns domain objects domain objects keeps entity information and knows about the sdk layer most functions are simple short hands for sdk methods this layer doesn t know anything about api naming conventions functions which are responsible to open the ui on a specific page use the view prefix view dataset view annotations functions which return always only one object present the name of that object in singular form get image id returns one image functions which might return multiple objects use the plural form of that object get images may return multiple images | computer-vision neural-networks deep-learning annotation-tool datasets labeling-tool python-library image-classification object-detection instance-segmentation image-management dataset-interface image-viewer | ai |
master | jupyter book badge https raw githubusercontent com executablebooks jupyter book master docs images badge svg https ml course github io youtube channel views https img shields io youtube channel views ucurdcl q8dkrf5wfmcw1tsa style social https www youtube com channel ucurdcl q8dkrf5wfmcw1tsa an open machine learning course jupyter notebooks for teaching machine learning based on scikit learn and keras with openml used to experiment more extensively on many datasets online course book https ml course github io powered by jupyter book sources practice oriented materials we use many code examples from the following excellent books we urge you to read them for a more complete coverage of machine learning in python introduction to machine learning with python http shop oreilly com product 0636920030515 do by andreas mueller http amueller io and sarah guido https twitter com sarah guido focussing entirely on scikit learn and written by one of its core developers this book offers clear guidance on how to do machine learning with python deep learning with python https www manning com books deep learning with python by fran ois chollet written by the author of the keras library this book offers a clear explanation of deep learning with practical examples python machine learning https www amazon com python machine learning sebastian raschka dp 1783555130 ref sr 1 1 ie utf8 qid 1472342570 sr 8 1 keywords sebastian raschka by sebastian raschka one of the classic textbooks on how to do machine learning with python python for data analysis http shop oreilly com product 0636920023784 do by wes mckinney a more introductory and broader text on doing data science with python theory oriented materials for a deeper understanding of machine learning techniques we can recommend the following books mathematics for machine learning https mml book github io book mml book pdf by marc deisenroth a aldo faisal and cheng soon ong this provides the basics of linear algebra geometry probabilities and continuous optimization and how they are used in several machine learning algorithms the pdf is available for free the elements of statistical learning data mining inference and prediction 2nd edition https statweb stanford edu tibs elemstatlearn by trevor hastie robert tibshirani jerome friedman one of the key references of the field great coverage of linear models regularization kernel methods model evaluation ensembles neural nets unsupervised learning the pdf is available for free deep learning http www deeplearningbook org by ian goodfellow yoshua bengio aaron courville the current reference for deep learning chapters can be downloaded from the website an introduction to statistical learning with applications in r http www bcf usc edu gareth isl by gareth james daniela witten trevor hastie and robert tibshirani more introductory version of the above book with many code examples in r the pdf is also available for free note that we won t be using r in the main course materials but the examples are still very useful gaussian processes for machine learning http www gaussianprocess org gpml by carl edward rasmussen and christopher k i williams the reference for bayesian inference also see david mackay s book http www inference phy cam ac uk itila book html for additional insights also see this course by neil lawrence http inverseprobability com mlai2015 for a great introduction to gaussian processes all from first principles open course made with love by joaquin vanschoren https joaquinvanschoren github io materials are released under the cc0 license https creativecommons org share your work public domain cc0 you can use them as you like partly based on notebooks by andreas mueller https github com amueller introduction to ml with python cc0 licenced fran ois chollet https github com fchollet deep learning with python notebooks mit licenced sebastian raschka https github com rasbt python machine learning book 2nd edition mit licenced and neil lawrence https github com lawrennd talks with permission | ai |
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processors | build status http jenkins cs arizona edu 8090 buildstatus icon job processors 2fmaster http jenkins cs arizona edu 8090 job processors maven central https img shields io maven central v org clulab processors main 2 12 https mvnrepository com artifact org clulab processors main what is it this is the main public code repository of the computational language understanding clu lab http clulab org at university of arizona http www arizona edu please see http clulab github io processors http clulab github io processors for more information about this software installation and usage instructions changes please see the changes file changes md license our code is licensed as follows main odin openie apache license version 2 0 please note that these subprojects do not interact with the corenlp subproject below corenlp gpl version 3 or higher due to the dependency on stanford s corenlp http stanfordnlp github io corenlp if you use only cluprocessor this dependency does not have to be included in your project | ai |
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Generative-AI---LLMs | multipdf chat app introduction the multipdf chat app is a python application that allows you to chat with multiple pdf documents you can ask questions about the pdfs using natural language and the application will provide relevant responses based on the content of the documents this app utilizes a language model to generate accurate answers to your queries please note that the app will only respond to questions related to the loaded pdfs how it works the application follows these steps to provide responses to your questions 1 pdf loading the app reads multiple pdf documents and extracts their text content 2 text chunking the extracted text is divided into smaller chunks that can be processed effectively 3 language model the application utilizes a language model to generate vector representations embeddings of the text chunks 4 similarity matching when you ask a question the app compares it with the text chunks and identifies the most semantically similar ones 5 response generation the selected chunks are passed to the language model which generates a response based on the relevant content of the pdfs dependencies and installation to install the multipdf chat app please follow these steps 1 clone the repository to your local machine 2 install the required dependencies by running the following command pip install r requirements txt 3 obtain an api key from openai and add it to the env file in the project directory commandline openai api key your secrit api key usage to use the multipdf chat app follow these steps 1 ensure that you have installed the required dependencies and added the openai api key to the env file 2 run the main py file using the streamlit cli execute the following command streamlit run app py 3 the application will launch in your default web browser displaying the user interface 4 load multiple pdf documents into the app by following the provided instructions 5 ask questions in natural language about the loaded pdfs using the chat interface | ai |
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hashformers | hashformers hf spaces https raw githubusercontent com obss sahi main resources hf spaces badge svg https ruanchaves hashtag segmentation hf space open in colab https colab research google com assets colab badge svg https colab research google com github ruanchaves hashformers blob master hashformers ipynb pypi license https badgen net pypi license pip https github com ruanchaves hashformers blob master license stars https img shields io github stars ruanchaves hashformers https github com ruanchaves hashformers tweet https img shields io twitter url style social url https 3a 2f 2fgithub com 2fruanchaves 2fhashformers https www twitter com share url https github com ruanchaves hashformers hashtag segmentation is the task of automatically adding spaces between the words on a hashtag hashformers https github com ruanchaves hashformers is the current state of the art for hashtag segmentation as demonstrated on this paper accepted at lrec 2022 https aclanthology org 2022 lrec 1 782 pdf hashformers is also language agnostic you can use it to segment hashtags not just with english models but also using any language model available on the hugging face model hub https huggingface co models p align center h3 a href https ruanchaves hashtag segmentation hf space segment hashtags on hugging face spaces a h3 h3 a href https colab research google com github ruanchaves hashformers blob master hashformers ipynb get started google colab tutorial a h3 h3 a href https github com ruanchaves hashformers wiki read the docs a h3 p basic usage python from hashformers import transformerwordsegmenter as wordsegmenter ws wordsegmenter segmenter model name or path gpt2 segmenter model type incremental reranker model name or path google flan t5 base reranker model type seq2seq segmentations ws segment weneedanationalpark icecold print segmentations we need a national park ice cold it is also possible to use hashformers without a reranker by setting the reranker model name or path and the reranker model type to none installation pip install hashformers what models can i use visit the huggingface model hub https huggingface co models and choose your models for the wordsegmenter class you can use any model supported by the minicons https github com kanishkamisra minicons library currently hashformers supports the following model types as the segmenter model type or reranker model type incremental auto regressive models like gpt 2 and xlnet or any model that can be loaded with automodelforcausallm this includes large language models llms such as alpaca lora chainyo alpaca lora 7b and gpt j eleutherai gpt j 6b python ws wordsegmenter segmenter model name or path eleutherai gpt j 6b segmenter model type incremental reranker model name or path none reranker model type none masked masked language models like bert or any model that can be loaded with automodelformaskedlm seq2seq seq2seq models like flan t5 google flan t5 base or any model that can be loaded with automodelforseq2seqlm best results are usually achieved by using an incremental model as the segmenter model name or path and a masked or seq2seq model as the reranker model name or path a segmenter is always required however a reranker is optional contributing pull requests are welcome read our paper https arxiv org abs 2112 03213 for more details on the inner workings of our framework if you want to develop the library you can install hashformers directly from this repository or your fork git clone https github com ruanchaves hashformers git cd hashformers pip install e relevant papers this is a collection of papers that have utilized the hashformers library as a tool in their research hashformers v1 3 these papers have utilized hashformers version 1 3 or below zero shot hashtag segmentation for multilingual sentiment analysis https arxiv org abs 2112 03213 hashset a dataset for hashtag segmentation lrec 2022 https aclanthology org 2022 lrec 1 782 generalizability of abusive language detection models on homogeneous german datasets https link springer com article 10 1007 s13222 023 00438 1 fn3 the problem of varying annotations to identify abusive language in social media content https www cambridge org core journals natural language engineering article problem of varying annotations to identify abusive language in social media content b47fcccebf6edf9c628dcc69ec5e0826 blog posts 15 datasets for word segmentation on the hugging face hub https ruanchaves medium com 15 datasets for word segmentation on the hugging face hub 4f24cb971e48 citation misc rodrigues2021zeroshot title zero shot hashtag segmentation for multilingual sentiment analysis author ruan chaves rodrigues and marcelo akira inuzuka and juliana resplande sant anna gomes and acquila santos rocha and iacer calixto and hugo alexandre dantas do nascimento year 2021 eprint 2112 03213 archiveprefix arxiv primaryclass cs cl | hashtag-segmentor word-segmentation transformers transformers-gpt2 deep-learning nlp twitter tweet-analysis tweets-classification sentiment-analysis sentiment-classification sentiment-polarity twitter-sentiment-analysis natural-language-processing bert transformer segmentation paper large-language-models llms | ai |
hsweb-iot-cloud | license https img shields io badge license apache 202 4eb1ba svg style flat square https www apache org licenses license 2 0 html 1 java8 maven3 2 spring boot https spring io projects spring boot 3 spring cloud https spring io projects spring cloud 4 hsweb framework https github com hs web hsweb framework 5 vertx https vertx io mqtt udp 6 redisson https github com redisson redisson redis 7 spring cloud stream https cloud spring io spring cloud stream 8 kafka http kafka apache org 9 docker https www docker com hsweb iot cloud docker docker dev env redis kafka zookeeper eureka server gateway server zuul iot components iot authorization iot cloud stream spring cloud stream iot logging iot redis redis server dependencies mqtt emulator mqtt user server interaction server server iot components feignclient spring cloud stream redis kafka zookeeper linux 1 git clone https github com hs web hsweb iot cloud git 2 docker docker start dev env sh windows windows redis zookeeper kafka 3 eureka server gateway server user server 4 http localhost 8000 admin admin 5 h2 application yml h2 mysql oracle qq 515649185 issues https github com hs web hsweb iot cloud issues new 1 2 hsweb 3 4 qq 515649185 hsweb iot cloud license license https img shields io badge license apache 202 4eb1ba svg style flat square https www apache org licenses license 2 0 html | java iot-platform spring-boot spring-cloud vertx kafka mqtt udp hsweb | server |
cleanNLP | cleannlp a tidy data model for natural language processing author taylor b arnold br license lgpl 2 https opensource org licenses lgpl 2 1 cran version http www r pkg org badges version ago cleannlp https cran r project org package cleannlp travis ci build status https travis ci org statsmaths cleannlp svg branch master https travis ci org statsmaths cleannlp downloads http cranlogs r pkg org badges cleannlp overview the cleannlp package is designed to make it as painless as possible to turn raw text into feature rich data frames a minimal working example of using cleannlp consists of loading the package setting up the nlp backend initializing the backend and running the function cnlp annotate the output is given as a list of data frame objects classed as an cnlp annotation here is an example using the udpipe backend r library cleannlp cnlp init udpipe annotation cnlp annotate input c here is the first text it is short here s the second it is short too the third text is the shortest lapply annotation head token doc id sid tid token token with ws lemma upos xpos 1 1 1 1 here here here adv rb 2 1 1 2 is is be aux vbz 3 1 1 3 the the the det dt 4 1 1 4 first first first adj jj 5 1 1 5 text text text noun nn 6 1 1 6 punct feats tid source relation 1 prontype dem 0 root 2 mood ind number sing person 3 tense pres verbform fin 1 cop 3 definite def prontype art 5 det 4 degree pos numtype ord 5 amod 5 number sing 1 nsubj 6 na 1 punct document doc id 1 1 2 2 3 3 the token output table breaks the text into tokens provides lemmatized forms of the words part of speech tags and dependency relationships two short case studies are linked to from the repository to show sample usage of the library state of the union addresses https statsmaths github io cleannlp state of union html exploring wikipedia data https statsmaths github io cleannlp wikipedia html please see the notes below and the official package documentation on cran https cran r project org web packages cleannlp for more options to control the way that text is parsed installation you can download the package from within r directly from cran r install packages cleannlp after installation you should be able to use the udpipe backend as used the minimal example and case studies above model files will be installed automatically or the stringi backend without any additional setup for most users we find that these out of the box solutions are a good starting point in order to use the two python backends you must install the associated cleannlp python module we recommend and support the python 3 7 version of anaconda python https www anaconda com distribution download section after obtaining python install the module by running pip in a terminal py pip install cleannlp once installed running the respective backend initialization functions will provide further instructions for download the required models api overview v3 there have been numerous changes to the package in the newly released version 3 0 0 these changes while requiring some changes to existing code have been carefully designed to make the package easier to both install and use the three most important changes include the object returned by cnlp annotate is now a named list users can access its elements with the dollar sign operator functions such as cnlp get token and cnlp get dependency are no longer needed or included the dependencies are now attached to the tokens table to make them easier to use the corenlp backend now uses the python backend it is simplier to install than the java backend but does is still missing some features if you are running into any issues with the package first make sure you are using updated materials mostly available from links within this repository backends the cleannlp package is designed to allow users to make use of various nlp annotation algorithms without having to worry too much about the output format which is standardizes at best as possible there are four backends currently available each with their own pros and cons they are stringi a fast parser that only requires the stringi package but produces only tokenized text udpipe a parser with no external dependencies that produces tokens lemmas part of speech tags and dependency relationships the recommended starting point given its balance between ease of use and functionality it also supports the widest range of natural languages spacy based on the python library a more feature complete parser that included named entity recognition and word embeddings it does require a working python installation and some other set up recommended for users who are familiar with python or plan to make heavy use of the package corenlp another python library formally java that is an official port of the java library of the same name the second two backends spacy and corenlp require some additional setup namely installing python and the associated python library as documented above to select the desired backend simply initialize the model prior to running the annotation r cnlp init stringi locale en gb cnlp init udpipe model name english cnlp init spacy model name en cnlp init corenlp lang en the code above explicitly sets the default english model you can use a different model language when starting the model for udpipe the models will be downloaded automatically for spacy and corenlp the following helper functions are available r cnlp download spacy model name en cnlp download corenlp lang en simply change the model name or language code to download alternative models citation if you make use of the toolkit in your work please cite the following paper article title a tidy data model for natural language processing using cleannlp author arnold taylor b journal r journal volume 9 number 2 year 2017 please however note that the library has evolved since the paper was published for specific help with the package s api please check the updated documents linked to from this site note please note that this project is released with a contributor code of conduct conduct md by participating in this project you agree to abide by its terms | r-package natural-language-processing spacy corenlp | ai |
altschool-cloud-exercises | altschool africa cloud specialization exercises this repository is primarily for documentation of exercises done in altschool cloud engineering | cloud linux linux-shell | cloud |
qp-arduino | brought to you by quantum leaps https www state machine com attachments logo ql 400 png https www state machine com qp arduino https www state machine com img logo qp arduino png this readme provides a quick overview of qp for arduino please refer to the companion webiste to this project at https www state machine com arduino software installation the qp adaptation for arduino is distributed in a single zip archive qp ver arduino 1 8 x zip where ver stands for the version of the qp frameworks you need to unzip the qp ver arduino 1 8 x zip archive into your arduino sketchbook folder to find out where your sketchbook folder is or to configure a different location for your sketchbook folder you need to open the arduino ide and select file preferences menu the sketchbook location will be shown at the top of the preferences dialog box once you identify the sketchbook folder you simply unzip the whole qp ver arduino 1 8 x zip archive to this folder provided libraries and examples the archive qp ver arduino 1 8 x zip contains two external libraries for sam based arduinos qpcpp arm cm qp c framework for arduinos based on arm cortex m qpn avr qp nano framework for arduinos based on avr note qpn avr is now obsolete it is provided for backwards compatibility only provided tools the archive also contains the qm modeling tool for windows qm qm modeling tool for windows 32 64 bit directories and files after the installation your arduino sketchbook folder should look as follows sketchbook your arduino sketchbook folder libraries libraries folder qpcpp arm cm qp c library for arm cortex m based boards examples qp c library examples blinky sam blinky example for sam arduinos blinky sam ino blinky code generated by qm blinky sam qm blinky model for qm blinky2 sam blinky2 example for sam arduinos blinky2 sam ino blinky2 code generated by qm blinky2 sam qm blinky2 model for qm blinky bsp sam blinky example with bsp for sam blinky bsp sam ino blinky bsp code generated by qm blinky bsp sam qm blinky bsp model for qm bsp hpp bsp header generated by qm bsp cpp bsp source generated by qm blinky bsp teensy4 blinky example with bsp for teensy4 blinky bsp teensy4 ino blinky bsp code generated by qm blinky bsp teensy4 qm blinky bsp model for qm bsp hpp bsp header generated by qm bsp cpp bsp source generated by qm dpp bsp sam dpp example with bsp for sam qview dpp with qview demonstration dpp bsp teensy4 ino dpp bsp code generated by qm dpp bsp teensy4 qm dpp bsp model for qm bsp hpp bsp header generated by qm bsp cpp bsp source generated by qm src qp c library source qpn avr qp nano library for avr based arduinos examples qp nano library examples blinky blinky bsp dpp pelican src qm qm modeling tool bin qm binaries executable and dlls qm exe qm executable for windows html qm documentation index html qp arduino gpl exception txt gpl exception for qp on arduino readme md this file note the qp arduino archive contains qm for windows only but qm is also available for linux and macos hosts if you wish to work on those operating systems you will need to install qm separately as described at https www state machine com qm gs html working with the examples assumming that you have installed the qp library in your sketchbook folder the examples provided in each qp library show up in the arduino ide under the menu file examples examples from custom libraries the intended way of working with the examples is to use the qm modeling tool https www state machine com products qm to modify the models qm files and then to generate code from these models in this scenario the arduino ide is used only to build and upload the code to the arduino board s note the preferences in the arduino ide should be set up to use external editor so that the ide will update the code each time it is re generated by the qm modeling tool example documentation each example model has documentation which you can view in the qm tool the model documentation shows in the property editor when the model item is active qp spy software tracing support the qpcpp arm cm library now supports the qp spy software tracing https www state machine com software tracing this feature is also demonstrated in the qpcpp examples with the bsp to activate the software tracing you would need to un comment the qs on macro at the top of bsp cpp source file note because the qp spy output is binary you cannot watch it with a standard serial terminal instead you need to use the qspy host utility https www state machine com qtools qspy html qview demonstration once qp spy tracing is enabled this communication with the target system can be used to for qview visualization and monitoring https www state machine com qtools qview html the dpp bsp sam example demonstrates the qview monitoring to see this feature you need to upload the dpp bsp sam code to the arduino uno board and then you need to launch qview from the sub directory qview in the dpp bsp sam example licensing the qp c real time embedded framework rtef for arduino are licensed under the modified gplv3 license with the qp arduino exception https www state machine com licenses qp arduino gpl exception txt see also the file qp arduino gpl exception txt qp arduino gpl exception txt in the root of the archive specifically the arduino gplv3 exception removes the requirement to expose your proprietary source code as long as you deploy it on an arduino certified board the qm model based design tool https www state machine com qm is freeware the qm tool is provided under the terms of a simple end user license agreement eula https www state machine com qm license html companion web page please refer to the companion web page to this project at https www state machine com arduino support questions please submit any questions or comments to the free qp support forum at https sourceforge net p qpc discussion 668726 | arduino arduino-library rtos event-driven kernel state-machine fsm framework free samek qp uml-state-machine statechart arduino-uno code-generation modeling modeling-tool adruino-due sam qpcpp | os |
lambda-lecture-notes | lambda lecture notes lecture notes for the classes i teach at lambda school covering web application development with react and redux | front_end |
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nlp4go | nlp4go join the chat at https gitter im korobool nlp4go https badges gitter im korobool nlp4go svg https gitter im korobool nlp4go utm source badge utm medium badge utm campaign pr badge utm content badge build status https travis ci org korobool nlp4go svg branch master https travis ci org korobool nlp4go coverage status https coveralls io repos github korobool nlp4go badge svg branch master https coveralls io github korobool nlp4go branch master note this solution is not under development anymore further development was done under nda and couldn t be published the idea of nlp4go is to provide a fast go lang based nlp toolkit for researchers and developers which provides the most commonly used features of nltk and other npl toolkits but with production ready computational performance things that can be executed in parallel mode like pos tagging for independent sentences should be processed in go routines in parallel to utilize cpu cores efficiently currently supported languages english russian planned general plan for implementation tokenizer s tree bank regex split investigate alternatives pos tagger s percepton string abstraction to imporove performance on unicode compatibility with regex o 1 len operation for unicode strings slises in bytes and characters ner support parsing we need a complete rules set for syntax parsing syntax parsing shiftreudce dependency parsing port hannibal s cython version wordnet interface repository structure should be idiomatically similar to following tree legacy to be removed later core strings go exregex go ml perceptron go tokenize wordsplit go wordregex go sentencesplit go sentencesregex go tagg perceptron pos parse syntax dependency utils train pos tagger go read ontonotes go train model for perceptron based pos tagger go run tagger train go corpus home user ontonotes model test model go run stdin tagger go run tagger tag go model test model go we cannot share ontonotes but you can use your own training data just feed to train stdin data in format in in dt the nn summer in of cd 2005 dt a nn picture wdt that nns people vbp have rb long vbn been vbg looking rb forward in to none t 1 vbd started none 2 vbg emerging in with nn frequency in in jj various jj major nnp hong nnp kong nns media in with prp their jj unique nn charm dt these rb well hyph vbn known nn cartoon nns images rb once rb again vbd caused nnp hong nnp kong to to vb be dt a nn focus in of jj worldwide nn attention dt the nn world pos s jj fifth nnp disney nn park md will rb soon vb open in to dt the nn public rb here | ai |
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Web-Development-Resources | hero image https i ibb co bwhkjfp group 3892 png table of contents code editor code editors coding challenge platforms coding challenge platforms credit credit fonts fonts free domain name free domain free illustration design free illustration design free hosting free hosting freelancing platforms freelancing platforms free quality photos free quality photos helpful chrome extensions helpful chrome extensions icons icons learning platforms learning platforms podcasts podcasts resources for css resources for css resources for react resources for react resources for javascript resources for javascript websites to find remote jobs list of websites to find remote jobs web dev library web dev library youtube channels youtube channels html email resources html email resources free hosting amazon web services http aws amazon com byet host https byet host cloudflare pages https pages cloudflare com deta https www deta sh firebase http firebase google com freehosting 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34 neumorphic ui https neumorphism io e0e0e0 35 glassmorphism generator https glassmorphism com 36 keyframes https keyframes app 37 animista https animista net 38 fancy border https 9elements github io fancy border radius 39 css generators tool https cssgenerator org 40 css 3 maker https css3maker com 41 css clip path maker https bennettfeely com clippy 42 css shapes generator https coveloping com tools css shapes generator 43 pattern generator http patternify com 44 background image generator http bg siteorigin com 45 box shadow generator https developer mozilla org en us docs web css css backgrounds and borders box shadow generator 46 color contrast checker https colourcontrast cc 47 color palette ai generator http khroma co 48 shape divider generator https www shapedivider app design inspiration 49 css design awards https cssdesignawards com 50 awwwards https awwwards com websites css3 51 css nectar https cssnectar com 52 design modo https designmodo com css website designs 53 css 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javascript questions https github com lydiahallie javascript questions 54 clean code javascript https github com ryanmcdermott clean code javascript resources for react 1 beta react js https beta reactjs org learn 2 josh w comeau https www joshwcomeau com 3 routing v6 https reactrouter com en v6 3 0 getting started overview 4 javatpoint https www javatpoint com reactjs tutorial 5 freecodecamp https www freecodecamp org news react tutorial build a project 6 guru99 https www guru99 com reactjs tutorial html 7 ibaslogic https ibaslogic com react tutorial for beginners 8 geeks for geeks https www geeksforgeeks org reactjs tutorials helpful chrome extensions 1 responsive web design tester live link https chrome google com webstore detail responsive web design tes enhcpefphhaiikpobimgcakinhabgiib related utm source chrome ntp icon 2 full page screen capture live link https chrome google com webstore detail gofullpage full page scre fdpohaocaechififmbbbbbknoalclacl utm source chrome ntp icon 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accessibility a11y accessibility a11y a11y tools and resources a11y tools and resources a11y chrome extensions a11y chrome extensions devops devops continuous integration continuous integration docker docker hosting hosting domains domains design design 1 typography typography 1 ides and text editors ides and text editors vs code vs code programming fonts programming fonts code colour schemes code colour schemes regular expressions regular expressions learning resources learning resources code chunk output details general resources devdocs io http devdocs io fast offline and free documentation browser for developers search 100 docs in one web app html css javascript php ruby python go c c devhints https devhints io cheatsheets for many web technologies carbon https carbon now sh bg rgba 171 20184 20195 201 t seti l auto ds true wc true wa true pv 32px ph 32px ln false use this to share images of your code in presentations etc badgen https badgen net https badgen net badge add flare shields io https shields io https img shields io badge add flare green svg style flat square to your documentation readmes git flight rules https github com k88hudson git flight rules a guide for astronauts now programmers using git about what to do when things go wrong browser 2020 https github com luruke browser 2020 things you can do with a browser in 2020 really useful tools these are tools that i use often and that i find useful bundlephobia https bundlephobia com size of npm dependencies transform tools https transform tools transform your code with a few clicks i most commonly use this tool https transform tools json to typescript to convert json to typescript interfaces unicode code converter https r12a github io app conversion svgomg https jakearchibald github io svgomg svgo s missing gui json editor online https jsoneditoronline org beta view edit and format json online squoosh https squoosh app image compressor epoch convert https www epochconvert com online unix timestamp converter copychar https copychar cc copy special characters to your clipboard url encoder for svg https yoksel github io url encoder tiny helpers https tiny helpers dev latest a collection of free single purpose online tools for web developers whitespaces https kirillbelyaev com s and zero width characters with buttons for copying to clipboard short mnemonics and usage comments css2js https css2js dotenv dev convert css to js object there s also a good vs code extension for this as well css in js https marketplace visualstudio com items itemname paulmolluzzo convert css in js https marketplace visualstudio com items itemname paulmolluzzo convert css in js smooth shadow https shadows brumm af make a smooth shadow crontab guru https crontab guru the cron schedule expression editor key js https keyjs dev keyboard events inspector javascript keyboard event key codes key identifiers glob tester https globster xyz tool for testing glob patterns html de crapulator https a11y tools com markup de crapulator index html px rem em converter https px rem em converter zander wtf by me finding and vetting npm packages npms https npms io a better and open source search for node packages pika https www pikapkg com a searchable catalog of modern module packages on npm emma https github com maticzav emma cli terminal assistant to find and install node packages npmvet https github com harksys npmvet a simple cli tool for vetting npm package versions bundlephobia https bundlephobia com see the cost of any npm package snyk https snyk io find any security vulnerabilities for any npm package search their database here https snyk io vuln npm package e g https snyk io vuln npm react runpkg https runpkg com explore learn about and perform static analysis on npm packages in the browser css css tricks complete guide to flexbox https css tricks com snippets css a guide to flexbox css tricks complete guide to grid https css tricks com snippets css complete guide grid cubic bezier curve creator http cubic bezier com 17 67 83 67 ceaser http matthewlein com ceaser cubic bezier curve generator css triggers https csstriggers com find out what css properties trigger paint layout composite renders fluid responsive font size calculator https websemantics uk tools responsive font calculator to scale typography smoothly across viewport widths browserhacks http browserhacks com browserhacks is an extensive list of browser specific css and javascript hacks from all over the interwebs absolute centering https codepen io shshaw full geidt useful techniques for absolute centering in css modern css reset https github com hankchizljaw modern css reset a bare bones css reset for modern web development cssfx https cssfx netlify com beautifully simple click to copy css effects shape divider app https www shapedivider app css in js css in js libraries stitches https stitches dev css in js with near zero runtime vanilla extract https vanilla extract style zero runtime stylesheets in typescript styled components https styled components com css in js for react emotion http emotion sh css in js library linaria https github com callstack linaria zero runtime css in js library goober https goober rocks a less than 1kb css in js solution design system utils https github com mrmartineau design system utils design system framework for modern front end projects made by me polished https polished js org a lightweight toolset for writing styles in javascript styled by https github com brunobertolini styled by simple and powerful lib to handle styled props in your components xstyled https github com smooth code xstyled consistent theme based css for styled components theme ui https theme ui com build consistent themeable react apps based on constraint based design principles javascript useful js links js module import export syntax https stackoverflow com a 34842087 91359 javascript event keycodes http keycode info javascript visualizer https tylermcginnis com javascript visualizer does it mutate https doesitmutate xyz jsperf https jsperf com javascript performance playground modern js cheatsheet https github com mbeaudru modern js cheatsheet html dom https htmldom dev common tasks of managing html dom with vanilla javascript framework agnostic packages general utilities lodash https lodash com a modern javascript utility library delivering modularity performance extras just https github com angus c just a library of dependency free utilities that do just do one thing like lodash but smaller install each util independently read the tradeoffs document https github com angus c just blob master tradeoffs md to see if lodash is better tiny get https github com nickgard tiny get a minimal weight lodash get equivalent utility evt https www evt land a type safe replacement for node s eventemitter liteready https github com nicbell liteready a lightweight dom ready passport https github com jaredhanson passport simple unobtrusive authentication for node js get size https github com desandro get size get the size of elements length js https github com appalaszynski length js library for length units conversion action outside https github com saschageyer action outside invoke a callback function when clicked or tabbed outside one or multiple dom elements select dom https github com bfred it select dom lightweight queryselector all wrapper that outputs an array memoizee https github com medikoo memoizee complete memoize cache solution for javascript memoize one https github com alexreardon memoize one a memoization library which only remembers the latest invocation kind of https github com jonschlinkert kind of get the native javascript type of a value fast iterare https github com felixfbecker iterare array methods es6 iterators eases jsnext https github com rich harris eases jsnext a grab bag of modular easing equations normalizr https github com paularmstrong normalizr normalizes nested json according to a schema lazy value https github com sindresorhus lazy value create a lazily evaluated value fast equals https github com planttheidea fast equals a blazing fast equality comparison either shallow or deep fast copy https github com planttheidea fast copy a blazing fast deep object copier compute scroll into view https github com stipsan compute scroll into view utility for calculating what should be scrolled how it s scrolled is up to you arr https github com lukeed arr a collection of tiny highly performant array prototype alternatives timedstorage https github com fuhton timedstorage a library for storing and expiring objects in window localstorage left pad https github com stevemao left pad string left pad dont go https github com tiaanduplessis dont go a small client side library with zero dependencies to change the title and or favicon of the page when it is inactive always done https github com hybridables always done handle completion and errors with elegance support for async await promises callbacks streams and observables a drop in replacement for async done pass 100 of its tests plus more title https github com zeit title a service for capitalizing your title properly words https github com words linguistic javascript modules no scroll https github com davidtheclark no scroll disable scrolling on an element that would otherwise scroll libphonenumber js https github com catamphetamine libphonenumber js a simpler and smaller rewrite of google android s libphonenumber library text mask https github com text mask text mask input mask for react angular ember vue plain javascript msk https github com vtex msk small library to mask strings focus trap https github com davidtheclark focus trap trap focus within a dom node tinykeys https github com jamiebuilds tinykeys a tiny 400 b modern library for keybindings clack https github com reasonink clack a modern keyboard shortcut library written in typescript clack react https github com reasonink clack react react support for reasonink clack js humanize https github com ollieglass js humanize humanize large numbers pupa https github com sindresorhus pupa simple micro templating sub in https github com peterpme sub in a tiny 115b find and replace utility for strings in javascript color hash https github com zenozeng color hash generate color based on the given string using hsl color space and bkdrhash string similarity https github com aceakash string similarity finds degree of similarity between two strings based on dice s coefficient which is mostly better than levenshtein distance cuid https github com ericelliott cuid collision resistant ids optimized for horizontal scaling and performance obj str https github com lukeed obj str a tiny 96b library for serializing object values to strings also serves as a faster smaller drop in replacement for the classnames module clsx https github com lukeed clsx a tiny 223b utility for constructing classname strings conditionally also serves as a faster smaller drop in replacement for the classnames module xstate https xstate js org docs state machines and statecharts for the modern web tasktimer https github com onury tasktimer an accurate timer utility for running periodic tasks on the given interval ticks or dates node and browser rough notation https github com rough stuff rough notation create and animate hand drawn annotations on a web page ouml https github com smlsvnssn ouml js is a small collection of useful stuff is https github com sindresorhus is type check values big js https github com mikemcl big js a small fast javascript library for arbitrary precision decimal arithmetic js proper url join https github com moxystudio js proper url join like path join but for a url async axios https github com axios axios promise based http client for the browser and node js axios retry https github com softonic axios retry axios plugin that intercepts failed requests and retries them whenever possible redaxios https github com developit redaxios the axios api as an 800 byte fetch wrapper cross fetch https github com lquixada cross fetch universal whatwg fetch api for node browsers and react native awaity https github com asfktz awaity js a functional lightweight alternative to bluebird js built with async await in mind loadjs https github com muicss loadjs a tiny async loader dependency manager for modern browsers 789 bytes await to js https github com scopsy await to js async await wrapper for easy error handling without try catch node fastify https www fastify io fast and low overhead web framework for node js express https expressjs com helmet https github com helmetjs helmet help secure express apps with various http headers reqresnext https github com antongolub reqresnext tiny helper for express middleware testing lusca https github com krakenjs lusca application security for express apps cookie session https github com expressjs cookie session simple cookie based session middleware nodebestpractices https github com i0natan nodebestpractices the largest node js best practices list curated from the top ranked articles and always updated dumper js https github com zeeshanu dumper js a better and pretty variable inspector for your node js applications http terminator https github com gajus http terminator gracefully terminates http s server uuid https github com uuidjs uuid generate rfc compliant uuids in javascript http errors https github com jshttp http errors create http errors boom https github com hapijs boom http friendly error objects deno https github com denoland deno a secure javascript and typescript runtime nanomatch https github com micromatch nanomatch fast minimal glob matcher for node js similar to micromatch minimatch and multimatch but without support for extended globs extglobs posix brackets or braces and with complete bash 4 3 wildcard support and yn https github com sindresorhus yn parse yes no like values ncp https github com avianflu ncp asynchronous recursive file copying with node js logging pino https github com pinojs pino super fast all natural json logger caterpillar https github com bevry caterpillar caterpillar is the ultimate logging system for deno node js and web browsers cabin https github com cabinjs cabin cabin is the best javascript and node js logging service and logging npm package consola https github com unjs consola elegant console logger for node js and browser responsive responsive watch https github com pauldijou responsive watch watch some media queries and react when they change tornis https github com robb0wen tornis tornis helps you watch and respond to changes in your browser s viewport actual https github com ryanve actual determine actual css media query breakpoints via javascript media and images images loaded https github com awcross images loaded wait for images to load using promises no dependencies lazysizes https github com afarkas lazysizes high performance and seo friendly lazy loader for images responsive and normal iframes and more that detects any visibility changes triggered through user interaction css or javascript without configuration image services sharp https github com lovell sharp high performance node js image processing the fastest module to resize jpeg png webp and tiff images uses the libvips library imgix https www imgix com real time image processing and image cdn date date fns https date fns org modern javascript date utility library tinydate https github com lukeed tinydate a tiny 337b reusable date formatter extremely fast tinytime https github com aweary tinytime a straightforward date and time formatter in 1kb scrolling scroll watcher https github com jonataswalker scroll watcher scrolldir https github com dollarshaveclub scrolldir leverage vertical scroll direction with css carousels flickity https flickity metafizzy co swiper http idangero us swiper animation ramjet https github com rich harris ramjet morph dom elements from one state to another with smooth animations and transitions anime https github com juliangarnier anime javascript animation engine gsap https greensock com the standard for javascript html5 animation greensock vanilla tilt js https micku7zu github io vanilla tilt js index html a smooth 3d tilt javascript library forked from tilt js web workers workerize https github com developit workerize run a module in a web worker greenlet https github com developit greenlet move an async function into its own thread a simplified single function version of workerize immutable immer https github com mweststrate immer create the next immutable state tree by simply modifying the current tree use immer https github com immerjs use immer use immer to drive state with a react hooks unchanged https github com planttheidea unchanged a tiny fast unopinionated handler for updating js objects and arrays immutably seamless immutable https github com rtfeldman seamless immutable immutable data structures for javascript which are backwards compatible with normal js arrays and objectsseamless immutable mutik https github com jaredpalmer mutik a tiny 495b immutable state management library based on immer typography fitty https github com rikschennink fitty makes text fit perfectly polyfills resize observer polyfill https github com que etc resize observer polyfill a polyfill for the resize observer api react reactjs org https reactjs org create react app https github com facebook create react app create react apps with no build configuration react app rewired https github com timarney react app rewired override create react app webpack configs without ejecting react philosophies https github com mithi react philosophies things i think about when i write react code react bits https github com vasanthk react bits react patterns techniques tips and tricks react specific libs react powerplug https github com renatorib react powerplug renderless containers formik https github com jaredpalmer formik build forms in react without the tears react router https github com reacttraining react router declarative routing for react reach router https reach tech router react fns https react fns netlify com react components for common web apis react portal https github com tajo react portal react component for transportation of modals lightboxes loading bars to document body react ideal image https github com stereobooster react ideal image an almost ideal react image component react adopt https github com pedronauck react adopt compose render props components like a pro downshift https github com paypal downshift react loadable https github com jamiebuilds react loadable a higher order component for loading components with promises react portal https github com tajo react portal react component for transportation of modals lightboxes loading bars to document body js lingui https github com lingui js lingui a readable automated and optimized 5 kb internationalization intl i18n for javascript react mq https github com u wave react mq barebones css media query component for react 560 bytes react media https github com reacttraining react media css media queries for react this is ssr compatible as well merge props https github com andrewbranch merge props merges classname style and event handler props for react elements react uid https github com thearnica react uid render less container for generating uid for a11y consistent react key and any other good reason clsx https github com lukeed clsx a tiny 229b utility for constructing classname strings conditionally framer motion https www framer com motion an open source react library to power production ready animations design fluid animations for the web across desktop and mobile react axe https github com dequelabs react axe accessibility auditing for react js applications use click away https github com geobde use click away react hook to detect click or touch events outside an element react tiny virtual list https github com clauderic react tiny virtual list a tiny but mighty 3kb list virtualization library with zero dependencies supports variable heights widths sticky items scrolling to index and more react laag https github com everweij react laag primitives to build things like tooltips dropdown menu s and popovers in react react dnd https github com react dnd react dnd drag and drop for react react hooks swr https github com zeit swr react hooks library for remote data fetching hooks guide https www hooks guide collection of react hooks curated by the community usehooks https usehooks com easy to understand react hook recipes beautiful react hooks https github com beautifulinteractions beautiful react hooks a collection of beautiful and hopefully useful react hooks to speed up your components and hooks development react adaptive hooks https github com googlechromelabs react adaptive hooks deliver experiences best suited to a user s device and network constraints use local storage state https github com astoilkov use local storage state react hook that persists data in localstorage rooks https docs hooks list collection of react hooks for everyone state management jotai https github com pmndrs jotai primitive and flexible state management for react zustand https github com react spring zustand bear necessities for state management in react redux https github com reduxjs redux predictable state container for javascript apps reselect https github com reduxjs reselect selector library for redux redux saga https github com redux saga redux saga an alternative side effect model for redux apps redux saga routines https github com afitiskin redux saga routines routines for redux saga redux thunk https github com reduxjs redux thunk thunk middleware for redux awesome redux https github com brillout awesome redux catalog of redux libraries learning material parket https github com forsakenharmony parket a library to manage application state heavily inspired by mobx state tree unstated https github com jamiebuilds unstated state so simple it goes without saying mergestate https github com zhujinxuan mergestate how to stop worrying and use nested object array in react redux states effector https github com zerobias effector the state manager recoil https github com facebookexperimental recoil recoil is an experimental state management library for react apps it provides several capabilities that are difficult to achieve with react alone while being compatible with the newest features of react server rendered react next js https nextjs org repo https github com zeit next js framework for server rendered or statically exported react apps next plugins https github com zeit next plugins static site generators gatsby https www gatsbyjs org blazing fast static site generator for react eleventy https www 11ty dev a simpler static site generator microservices serverless micro https github com zeit micro awesome micro https github com amio awesome micro typescript typescriptlang org https www typescriptlang org what s new in typescript https github com microsoft typescript wiki what s new in typescript microsoft typescript wiki typescript deep dive https basarat gitbooks io typescript typescript evolution https blog mariusschulz com series typescript evolution json to typescript interface https transform now sh json to ts interface react typescript cheatsheet https github com sw yx react typescript cheatsheet a cheatsheet for react users using typescript with react for the first or nth time clean code typescript https github com labs42io clean code typescript clean code concepts adapted for typescript type fest https github com sindresorhus type fest a collection of essential typescript types command line terminal and shells fish shell https fishshell com the user friendly command line shell my fish config https github com mrmartineau fish awesome fish https github com jorgebucaran awesome fish a curated list of packages prompts and resources for the amazing fish shell starship https starship rs cross shell prompt tide https github com ilancosman tide a modern prompt manager for the fish shell creating cli apps gluegun https github com infinitered gluegun a delightful toolkit for building node powered clis inquirer https github com sboudrias inquirer js a collection of common interactive command line user interfaces commander https github com tj commander js node js command line interfaces made easy sade https github com lukeed sade sade is a small but powerful tool for building command line interface cli applications for node js that are fast responsive and helpful cli apps serve https github com zeit serve static file serving and directory listing awesome cli apps https github com agarrharr awesome cli apps a curated list of command line apps spacevim https github com spacevim spacevim a community driven modular vim distribution the ultimate vim configuration tooling code bundlers vite https vitejs dev next generation frontend tooling esbuild https esbuild github io an extremely fast javascript bundler swc https github com swc project swc swc is a super fast compiler written in rust producing widely supported javascript from modern standards and typescript preconstruct https github com preconstruct preconstruct dev and build your code painlessly in monorepos webpack https webpack js org script asset bundler webpack recipes https github com mrmartineau webpack recipes ifdef loader https github com nippur72 ifdef loader webpack loader for javascript typescript conditional compilation parcel https parceljs org blazing fast zero configuration web application bundler microbundle https github com developit microbundle zero configuration bundler for tiny modules rollup js https rollupjs org guide en rollup is a module bundler for javascript ncc https github com zeit ncc node js compiler collection simple cli for compiling a node js module into a single file together with all its dependencies gcc style fastpack https github com fastpack fastpack pack js code into a single bundle fast easy package management and publishing np https github com sindresorhus np a better npm publish size limit https github com ai size limit prevent js libraries bloat if you accidentally add a massive dependency size limit will throw an error bundlesize https github com siddharthkp bundlesize keep your bundle size in check nps https github com kentcdodds nps all the benefits of npm scripts without the cost of a bloated package json and limits of json dependabot https dependabot com dependabot creates pull requests to keep your dependencies secure and up to date npm config https github com npm npm blob 1fa9169ac9687f0be4156574279a968a48dd2458 doc misc npm config md docs more than you probably want to know about npm configuration patch package https github com ds300 patch package fix broken node modules with no fuss madge https github com pahen madge create graphs from your commonjs amd or es6 module dependencies commit hooks lefthook https github com arkweid lefthook fast and powerful git hooks manager for any type of projects husky https github com typicode husky git hooks made easy lint staged https github com okonet lint staged run linters on git staged files lefthook https github com arkweid lefthook fast and powerful git hooks manager for any type of projects testing jest https facebook github io jest delightful javascript testing majestic https github com raathigesh majestic zero config ui for jest jest chain https github com mattphillips jest chain chain jest matchers together to create one powerful assertion jest extended https github com jest community jest extended additional jest matchers snapshot diff https github com jest community snapshot diff diffing snapshot utility for jest jest date mock https github com hustcc jest date mock mock date when run unit test cases with jest make tests of date easier cypress https cypress io end to end testing cypress testing library https github com kentcdodds cypress testing library simple and complete custom cypress commands and utilities that encourage good testing practices cypress axe https github com avanslaars cypress axe custom commands for cypress to run a11y checks with axe core start server and test https github com bahmutov start server and test starts server waits for url then runs test command when the tests end shuts down server dom testing library https github com kentcdodds dom testing library simple and complete dom testing utilities that encourage good testing practices react testing library https github com testing library react testing library simple and complete react dom testing utilities that encourage good testing practices react testing library https react testing examples com react testing examples react hooks testing library https github com testing library react hooks testing library simple and complete react hooks testing utilities that encourage good testing practices chance https github com chancejs chancejs random generator helper for javascript faker js https github com marak faker js generate massive amounts of fake data in node js and the browser nock https github com nock nock http server mocking and expectations library for node js stryker mutator http stryker mutator io given2 https github com tatyshev given2 lazy variable evaluation for jasmine mocha jest specs inspired by ruby and rspec benny https github com caderek benny a dead simple benchmarking framework for js ts libs benchmark js https github com bestiejs benchmark js a benchmarking library as used on jsperf com ui testing best practices https github com noriste ui testing best practices the largest ui testing best practices list lat update april 2020 work in progress code formatting and linting prettier https prettier io precise commits https github com nrwl precise commits painlessly apply prettier by only formatting lines you have modified anyway pretty quick https github com azz pretty quick runs prettier on your changed files eslint https eslint org eslint plugin prettier https github com prettier eslint plugin prettier eslint plugin for prettier formatting eslint config prettier https github com prettier eslint config prettier turns off all rules that are unnecessary or might conflict with prettier eslint plugin react https github com yannickcr eslint plugin react react specific linting rules for eslint miscellaneous npm run all https github com mysticatea npm run all a cli tool to run multiple npm scripts in parallel or sequential cross port killer https github com milewski cross port killer kill the process running on a given tcp port on windows linux and mac envinfo https github com tabrindle envinfo generate a report about your development environment for debugging and issue reporting mkcert https github com filosottile mkcert a simple zero config tool to make locally trusted development certificates with any names you d like progressive web apps workbox https developers google com web tools workbox repo https github com googlechrome workbox javascript libraries for progressive web apps code sandboxes codesandbox https codesandbox io codesandbox is perfect for react demo apps codepen http codepen io codepen is perfect for non react front end demos and prototypes codeshare http codeshare io codeshare is useful for collaborating on a single file if devs are not in the same room glitch https glitch com apis postman https www getpostman com used to develop test and monitor apis mockapi http www mockapi io create a mock api jsonbin https jsonbin org a personal json store as a restful service test cors org http www test cors org reqres https reqres in a hosted rest api ready to respond to your ajax requests mirage js https miragejs com an api mocking library for frontend developers postwoman https postwoman io api request builder graphql graphql playground https www graphqlbin com apollo graphql https www apollographql com apollo data graph platform unify apis microservices and databases into a data graph that you can query with graphql apollo client react https www apollographql com docs react apollo react graphql docs graphql directives https github com saeris graphql directives a collection of custom graphql schema directives for use with apollo server urql https github com formidablelabs urql the highly customizable and versatile graphql client graphql request https github com prisma labs graphql request minimal graphql client supporting node and browsers for scripts or simple apps graphql lodash https github com apis guru graphql lodash data manipulation for graphql queries with lodash syntax json json generator https next json generator com generate a lot of custom json for your app site json editor online https jsoneditoronline org view edit json in a better format fx https github com antonmedv fx command line tool and terminal json viewer html github com joshbuchea head https github com joshbuchea head the definitive resource for everything that could go in the head of your document metatags io https metatags io preview edit and generate hey meta https www heymeta com website meta tag check rich link preview https richpreview com svg a practical guide to svgs on the web https svgontheweb com get waves https getwaves io create svg waves for your next design blobmaker https www blobmaker app make organic svg shapes for your next design flubber https github com veltman flubber tools for smoother shape animations hero patterns http www heropatterns com free repeatable svg background patterns for your web projects icons iconsvg https iconsvg xyz quick customizable svg icons for your project simple icons https simpleicons org react icons https react icons github io react icons evil icons https evil icons io icon font svg icon sets icomoon https icomoon io svg porn https svgporn com feather https feathericons com simply beautiful open source icons react feather https github com feathericons react feather react component for feather icons system uicons https systemuicons com svg image media compression squoosh https squoosh app svgomg https jakearchibald github io svgomg svgo s missing gui conversions and unicode transform https transform now sh all important transforms at one place this is so useful svgr https svgr now sh the svg to jsx transformer svg2jsx https svg2jsx herokuapp com json to javascript object literal https json to js com unminify js css and html code https unminify com multi encoder https encoder internetwache org tab uni unicode code converter https r12a github io app conversion features and feature detection can i use https caniuse com browser support tables for modern web technologies html5 css3 javascript etc kangax javascript compatibility table http kangax github io compat table es6 performance bundlephobia https bundlephobia com find the cost of adding a npm package to your bundle performance testing and monitoring webpagetest https www webpagetest org lighthouse https developers google com web tools lighthouse calibre https calibreapp com website speed test image analysis tool https webspeedtest cloudinary com by cloudinary design subtract guides https subtract design entry forms simple rules for designing web mobile forms design systems and documentation storybook https storybook js org ui dev environment you ll love to use react styleguidist https github com styleguidist react styleguidist isolated react component development environment with a living style guide docusaurus https docusaurus io easy to maintain open source documentation websites docz https www docz site design system utils https github com mrmartineau design system utils design system framework for modern front end projects docute https docute org the fastest way to create a documentation site for your project playroom https github com seek oss playroom design with jsx powered by your own component library accessibility a11y accessibility is an extremely important part of any web project while the sow functional spec or user stories might not directly mention a11y it is up to each developer to ensure that best efforts are made to make our websites as accessible as possible a11y tools and resources interactive wcag http code viget com interactive wcag guidelines cheatsheet for a aa aaa awesome a11y https github com brunopulis awesome a11y massive list of a11y related resources information tenon io https tenon io a11y tester a11yproject com checklist html http a11yproject com checklist html a11y checklist a11yproject com http a11yproject com a11y resources w3 org wai er tools https www w3 org wai er tools list of a11y tools from the w3c allyjs io https allyjs io index html javascript library to help modern web applications with accessibility concerns by making accessibility simpler four principles of accessibility https www w3 org tr understanding wcag20 intro html introduction fourprincs head aria landmarks example https w3c github io aria practices examples landmarks index html a11y style guide http a11y style guide com style guide markup examples and best practices inclusive components https inclusive components design a blog trying to be a pattern library all about designing inclusive web interfaces piece by piece color contrast checker http leaverou github io contrast ratio accessible color palette builder https toolness github io accessible color matrix an prototype to help designers build accessible color palettes practical aria examples http heydonworks com practical aria examples nutrition cards for accessible components a11y expectations https davatron5000 github io a11y nutrition cards web accessibility tutorials https www w3 org wai tutorials guidance on how to create websites that meet wcag a11y chrome extensions accessibility insights for web https chrome google com webstore detail accessibility insights fo pbjjkligggfmakdaogkfomddhfmpjeni color contrast analyzer https chrome google com webstore detail color contrast analyzer dagdlcijhfbmgkjokkjicnnfimlebcll nocoffee https chrome google com webstore detail nocoffee jjeeggmbnhckmgdhmgdckeigabjfbddl has options for testing color blindness and other sight related issues devops http status codes https httpstatuses com continuous integration circleci https circleci com paid bitrise https bitrise com paid for ios android apps travis ci https travisci com free for open source docker dockle https github com goodwithtech dockle container image linter for security helping build the best practice docker image easy to start hosting vercel https vercel com netlify https netlify com domains iwantmyname https iwantmyname com design typography modular scale http modularscale com adaptive modular scale https codepen io getflourish full vxqewy type scale a visual calculator http type scale com ides and text editors vs code my vs code extensions https gist github com mrmartineau 28ef03c53275ea468e470532d6d20449 my preferences https gist github com mrmartineau ea3b428124bc1e31cd46dfa55469d781 awesome vscode https github com viatsko awesome vscode a curated list of delightful vs code packages and resources programming fonts ibm plex mono https www ibm com plex ia fonts https github com iaolo ia fonts input fonts for code http input fontbureau com firacode https github com tonsky firacode fantasque sans https github com belluzj fantasque sans jet brains mono https github com jetbrains jetbrainsmono code colour schemes monokai pro https monokai pro ayu mirage https marketplace visualstudio com items itemname teabyii ayu dracula https draculatheme com visual studio code a dark theme for visual studio code and 50 apps oceanic next theme https marketplace visualstudio com items itemname gerane theme oceanicnext night owl https github com sdras night owl vscode theme a vs code dark theme for contrast for nighttime coding nord https marketplace visualstudio com items itemname arcticicestudio nord visual studio code vscodethemes https vscodethemes com themer https github com mjswensen themer themer takes a set of colors and generates themes for your apps editors terminals wallpapers and more regular expressions regex101 https regex101 com online regex tester and debugger php pcre python golang and javascript learning resources web skills https andreasbm github io web skills compact a visual overview of useful skills to learn as a web developer if you think there are better alternatives or that there should be something added to the list please create an issue https github com mrmartineau awesome web dev resources issues new or create a pull request https github com mrmartineau awesome web dev resources pulls | front_end |
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DBA_anaylser | dba bigdata analyser in sql table of contents setup setup datasets datasets situation situation mysql cheat sheet mysql cheat sheet references references setup basics this section explains the installation of the server data generation we start with the setup of the actual sql server we will use percona here it is binary compatible with mysql but has a license that fits better into open source projects gpl the following statements as root user on archlinux will prepare the database server bash pacman s community percona toolkit community percona server clients community percona server mysqld initialize user mysql systemctl start mysqld mysql secure installation mysql tzinfo to sql usr share zoneinfo mysql u root p mysql enhancements a few things should be configured before we actually use the server the following settings should be part of the etc mysql my cnf ini client default character set utf8mb4 mysqld collation server utf8mb4 unicode ci character set server utf8mb4 innodb file per table 1 innodb large prefix 1 innodb buffer pool size 1g mysql default character set utf8mb4 auto rehash thread handling pool of threads this enforces the correct encoding for all upcoming datasets in the database and connections to the database it also enabled auto completion in the cli tool we will probably have big databases so we tell mysqld to store not a single file per database but per table afterwards the service needs to be restarted bash systemctl restart mysqld now you can import the sql files cat sql mysql user root p datasets we have one table called datasets which holds all of our data since this is is a big data application we get the data not in the third normal form which would not scale instead we have datasets a single dataset is a collection of key value information represented as a json object an example is json gender female birthday 1995 03 17 11 49 30 000000 federate state bayern car manufacturer porsche relationship single each dataset contains the same attributes they are gender male or female birthday all people are 20 to 45 years old federate state one of our 16 federate states car manufacturer full list of values is stored in the table relationship single married mysql database bigdata execute select name from car manufacturers name aston martin audi bmw ford mercedes benz opel porsche toyota there is often some metadata attached to a dataset for example id uniq id for the dataset created at timestamp when the dataset was created updated at timestamp wehn the data was updated the last time defaults to created at bigdata basics the amount of data is always quite high in such an environment in this case we have more than one million datasets an analyser gets always tested with only 10 20 of the data if the analyser looks right it will be executed on all datasets at the end the results will be compared the analyser is working and the data has a good quality if the results match often the datasets contain more information than needed situation our company has many million customers for a new business case we need to determine the yearly income of our customers we want to launch a regional product limited to a federate state for people with a low income we bought some data from car manufacturers and we now know the prices for their cars and the state of the relationship from the buyer each of our customers with a porsche or aston martin has an income that is too high for our product so we need to filter those people out people that are single and drive an audi tend to drive one of the more expensive models so we need to filter them out it is the opposite on mercedes benz we want to launch our product 3 times in three federal states we want to know which four federate states contain the most potential customers in absolute numbers on the one side and on the other side the four states with the most potential customers in it in relation to the amount of current customers in it implementation we will start with 100 000 datasets first we will filter all the really expensive cars out each step will be saved in a temporary table those tables only contain the result set from the previous query and are stored in memory they are automatically deleted after our session terminates we don t need to take care of garbage collection to keep the memory footprint low it is still a good idea to drop temporary tables when we know we do not need them again sql create temporary table filtered as select dataset from datasets limit 100000 create temporary table filtered expensive cars as select dataset from filtered where dataset car manufacturer aston martin create temporary table filtered more expensive cars as select dataset from filtered expensive cars where dataset car manufacturer porsche drop table filtered expensive cars create temporary table filtered even more expensive cars as select dataset from filtered more expensive cars where not dataset relationship single and dataset car manufacturer audi drop table filtered more expensive cars create temporary table final cars filtered as select dataset from filtered even more expensive cars where not dataset relationship married and dataset car manufacturer mercedes benz drop table filtered even more expensive cars select count dataset as customer dataset federate state as federate state from final cars filtered group by dataset federate state order by customer desc limit 4 select count dataset as customer dataset federate state as federate state from filtered group by dataset federate state order by customer desc create temporary table potential customers by federate state as select count dataset as customer dataset federate state as federate state from final cars filtered group by dataset federate state order by customer desc create temporary table all customers by federate state select count dataset as customer dataset federate state as federate state from filtered group by dataset federate state order by customer desc select potential customers all customers federate state 100 all customers potential customers as potential customer in percent from select potential customers by federate state federate state potential customers by federate state customer as potential customers all customers by federate state customer as all customers from potential customers by federate state inner join all customers by federate state on all customers by federate state federate state potential customers by federate state federate state as derieved table order by potential customers desc mysql cheat sheet changing the password of a user sql alter user root localhost identified by 234567uiukjyhtgyugjhk generate a random datetime that is 20 45 years in the past explanation at https dev mysql com doc refman 5 7 en mathematical functions html function rand sql select date sub now interval floor 20 rand 25 year generate a random datetime that is 20 45 years in the past and where the month varies sql select date sub date sub now interval floor 20 rand 25 year interval floor 1 rand 11 month random yyyy mm dd sql select date sub date sub date sub now interval floor 20 rand 25 year interval floor 1 rand 11 month interval floor 1 rand 28 day as birthday random yyyy mm dd in efficient sql select from unixtime floor unix timestamp now interval 45 year rand unix timestamp now interval 20 year unix timestamp now interval 45 year create a random dataset sql select select date sub date sub date sub now interval floor 20 rand 25 year interval floor 1 rand 11 month interval floor 1 rand 28 day as birthday select name from genders order by rand limit 1 as gender select name from car manufacturers order by rand limit 1 as car manufacturer select name from federate states order by rand limit 1 as federate state create a random dataset in readable form sql select select date sub date sub date sub now interval floor 20 rand 25 year interval floor 1 rand 11 month interval floor 1 rand 28 day as birthday select name from genders order by rand limit 1 as gender select name from car manufacturers order by rand limit 1 as car manufacturer select name from federate states order by rand limit 1 as federate state get the correct size for innodb buffer pool size sql select ceiling total innodb bytes 1 6 power 1024 3 ribps from select sum data length index length total innodb bytes from information schema tables where engine innodb a show temporary tables sql select from information schema temporary tables references mysql and unicode https mathiasbynens be notes mysql utf8mb4 | server |
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ScienceMotion-Static | sciencemotion this is an application to learn the concepts of high school level science through animation scientific theories are about how shapes move in space so we believe animation is the best way to explain them see the live site here https jessicaml github io sciencemotion static goals to create something as fun as mtv or sesame street to look at that teaches the concepts of high school level science to get users to view and enjoy our animations from high school students to retired dads to freelance bird watching experts to contribute fork the repo clone the repo here is the style guide https docs google com document d 1ylqk2kmtucien8i6x8uwu3rk j1o2wwpaocomiptnzk edit usp sharing view the list of scientific concepts here https docs google com spreadsheets d 1s cqehoyrcrjmvr3d7wqas7j7ddjlhujlcrcxmlvwok edit gid 0 if you want to start a lesson email me here and i will assign it to you jessicamaryleach gmail com or if you have your own idea for a lesson that s fine too there is also a list of cool web design examples https docs google com spreadsheets d 1s cqehoyrcrjmvr3d7wqas7j7ddjlhujlcrcxmlvwok edit gid 88152588 which you can contribute to by commenting sciencemotion static choose one to illustrate and create a pull request other ideas for the project email me here jessicamaryleach gmail com support us on patreon we love you 3 https www patreon com sciencemotions | front_end |
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Financial-NLP | constructing financial sentimental factors in chinese market using techniques of natural language processing introduction natural language processing as one of the most promising fields of machine learning has achieved great development recently and has been used in financial market in this project we are aiming to use an algotithm to analyze text data from influential financial websites to construct a sentimental factor which represents the daily sentiment of the market and papers here english version https github com coldog2333 financial nlp blob master paper constructing 20financial 20sentimental 20factors 20in 20chinese 20market 20using 20natural 20language 20processing pdf and https github com coldog2333 financial nlp blob master paper e5 88 a9 e7 94 a8 e8 87 aa e7 84 b6 e8 af ad e8 a8 80 e5 a4 84 e7 90 86 e6 8a 80 e6 9c af 20 e6 9e 84 e5 bb ba e4 b8 ad e5 9b bd e5 b8 82 e5 9c ba e9 87 91 e8 9e 8d e8 88 86 e6 83 85 e5 9b a0 e5 ad 90 pdf experiment correlation between sentimental factor and chinese markets p class half align center img src https github com coldog2333 financial nlp blob master figure correlation between sentimental factor and sse en png width 350px height 350px img src https github com coldog2333 financial nlp blob master figure correlation between sentimental factor and szse en png width 350px height 350px p time series of sentimental factor and chinese markets as for sse p class half align center img src https github com coldog2333 financial nlp blob master figure senti score vs sse en png width 800px height 402px p as for szse p align center img src https github com coldog2333 financial nlp blob master figure senti score vs szse en png width 800px height 402px p contribution contributors junfeng jiang jiahao li institutions ai fintechlab of likelihood technology sun yat sen university acknowledgement we would like to say thanks to mingwen liu from shiningmidas private fund for his generous help throughout the research we are also grateful to xingyu fu from sun yatsen university for his guidance and help with their help this research has been completed successfully set up python version 3 6 modules needed six codec logging jieba gensim nltk selenium numpy pandas threading datetime contact jiangjf6 mail2 sysu edu cn lijh76 mail2 sysu edu cn a412133593 gmail com | ai |
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Employee-Database-A-Mystery-in-Two-Parts | sql challenge employee database a mystery in two parts image https user images githubusercontent com 83431185 145315908 391f9ba9 ee5b 4616 a766 49c469329ed0 png background it is a beautiful spring day and it is two weeks since you have been hired as a new data engineer at pewlett hackard your first major task is a research project on employees of the corporation from the 1980s and 1990s all that remain of the database of employees from that period are six csv files in this assignment you will design the tables to hold data in the csvs import the csvs into a sql database and answer questions about the data in other words you will perform 1 data engineering 2 data analysis instructions data modeling inspect the csvs and sketch out an erd of the tables feel free to use a tool like http www quickdatabasediagrams com data engineering use the information you have to create a table schema for each of the six csv files remember to specify data types primary keys foreign keys and other constraints for the primary keys check to see if the column is unique otherwise create a composite key which takes to primary keys in order to uniquely identify a row be sure to create tables in the correct order to handle foreign keys import each csv file into the corresponding sql table note be sure to import the data in the same order that the tables were created and account for the headers when importing to avoid errors data analysis once you have a complete database do the following 1 list the following details of each employee employee number last name first name sex and salary 2 list first name last name and hire date for employees who were hired in 1986 3 list the manager of each department with the following information department number department name the manager s employee number last name first name 4 the department of each employee with the following information employee number last name first name and department name 5 list first name last name and sex for employees whose first name is hercules and last names begin with b 6 list all employees in the sales department including their employee number last name first name and department name 7 list all employees in the sales and development departments including their employee number last name first name and department name 8 in descending order list the frequency count of employee last names i e how many employees share each last name | server |
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IOTGate | https images gitee com uploads images 2020 0705 083825 8bdcc48e 1038477 png iotgate logo png github https github com brianapple iotgate iotgate gpl 2 0 gpl 2 0 http 113 31 103 53 8686 https images gitee com uploads images 2019 1025 220245 3ff17bcc 1038477 png png http 113 31 103 53 8686 iotgate win10 2g 6k iotgate https images gitee com uploads images 2020 0901 103619 f16c31c0 1038477 png png netty window 8000 jmeter 20w 1g 300 entrance java iotgate https www xianglong work tag iotgate e6 99 ba e8 83 bd e7 bd 91 e5 85 b3 csdn https blog csdn net sinat 28771747 category 8788959 html n c z zookeeper m ip 8888 f iotgate conf jar linux java jar iotgate jar n 1 args 8888 m c zookeeper z zookeeper iotgateconsole iotgateconsole zookeeper iotgateconsole ab 1byte len 4byte 68 16 type 1byte protocoltype 1byte bit 0 ipv4 1 ipv6 7 bit gatenum 1byte 00 12 12byte ip ipv4 12 0 12 byte 4byte ipv6 clientip 4byte ip ip port 2byte count 4byte 1 10000 1 0 2 type 03 protocoltype 15 count 1 type 01 protocoltype 00 count 3 0 type 03 protocoltype 15 1 68 1byte len 2byte 68 16 data n byte 16 1byte 2 len 4byte data data n byte iotgate v1 0 zookeeper iotgate v2 0 1 realease iotgate iotgate v2 0 2 realease bug iotgate v2 0 3 iotgate jar https gitee com willbeahero iotgate attach files 454348 download demo https gitee com willbeahero iotgate attach files 454354 download master iotgateconsole master mqtt mqtt iotgate iotgate iotgate iotgate https images gitee com uploads images 2019 1019 191425 eac2830b 1038477 jpeg iotgate jpg gate cluster iotgate https images gitee com uploads images 2019 0325 101113 a6702fb6 1038477 jpeg iotgate jpg gate client iotgateconsole https gitee com willbeahero iotgateconsole web gate cluster iotgateconsole https images gitee com uploads images 2019 0331 152228 782eecd5 1038477 png iotgateconsole png https images gitee com uploads images 2019 0402 173605 1a4217c0 1038477 png png iotgateconsole qq 844082385 iotgate star iotgate http www datanode cn hxapigate api hxapigate netty shiro api rest api https gitee com willbeahero hxapigate 2020sr0374701 www uiotp com guest001 123456 iot iotgate yangcheng068 foxmail com | server |
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Udacity-Cloud-Engineering-Capstone | circleci https dl circleci com status badge img circleci 9ttfyqv8jrw1wjtqsrz2jr 6meqannfmkdgdlu3mtfhqp tree main svg style svg circle token 52af004311614149eb0e9cdebd158fddfefdf9cf https dl circleci com status badge redirect circleci 9ttfyqv8jrw1wjtqsrz2jr 6meqannfmkdgdlu3mtfhqp tree main udacity cloud engineering capstone udacity cloud devops engineering nano degree capstone project this project is the application of learned content in the cloud devops engineering nano degree course application joke app deployment this repo takes a simple joke displaying python flask application and deploys it to aws eks while creating configuring cloud infrastructure the project is deployed using helm charts via ansible through the circl ci pipeline tool application url http a98220b1ff24146489a56aa212a83176 1525856792 us east 1 elb amazonaws com 5000 deployed web app deployed app capstone screenshots deployed app png linting lint checks using pylint and hadolint are performed as recommended from project 4 failed linting failure capstone screenshots capstone failed lint png succeeded linting pass capstone screenshots capstone passed lint png infrastructure useful code from previous projects is reused and modified to promote reusability of modular code the project is run using the circle ci ci cd tool it is deployed within it s own configured network that utilizes eks elastic kubernetes service orchestration tool the config yml builds the application creates a docker then tags and pushes it to dockerhub creates networking infrastructure kubernetes cluster and a manager instance all via cloudformation upon completing the infrastructure the application creates an ec2 management instance to interface with the kubernetes cluster the manager system is then configured with multiple dependencies the manager system is then utilized to deploy the python web app via helm charts once deployed the public dns name is returned and the application is accessible to the public utlized course knowledge kubernetes ci cd circle ci cloudformation ansible and shell scripting helm bonus docker aws cloud architecture circle ci pipeline circle ci cd pipeline capstone screenshots pipeline png aws cloudformation stacks cloud formation stacks capstone screenshots deployment stacks png kubernetes service and pods pod describe capstone screenshots pod describe png docker registry docker registry capstone screenshots docker registry png | cloud |
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spring-boot-vue-admin | spring boot vue admin provides a set of background permission management templates that separate the front and back ends stars https img shields io github stars zoctan spring boot vue admin svg style flat square label stars license https img shields io github license zoctan spring boot vue admin svg style flat square english readme zh md front end ideas reference hand touch take you to use vue to touch the background series ii login authority https juejin im post 591aa14f570c35006961acac the template comes from vue element admin https github com panjiachen vue element admin other functions can be expanded according to this project back end ideas reference role based access control new solution http globeeip iteye com blog 1236167 the template comes from spring boot api seedling https github com zoctan spring boot api seedling git please see the api s readme https github com zoctan spring boot vue admin tree master api for design ideas note since the front end has not been updated for several years there are loopholes and outdated versions if necessary please refer to the new project written in vue3 admin vue3 template https github com zoctan admin vue3 template welcome friends to star and issues thank you preview role list https github com zoctan spring boot vue admin blob master readme 1 png role manage https github com zoctan spring boot vue admin blob master readme 2 png user manage https github com zoctan spring boot vue admin blob master readme 3 png user role manage https github com zoctan spring boot vue admin blob master readme 4 png dependency version frontend version node 8 16 1 npm 6 4 1 backend version springboot 2 1 6 quick start markdown clone project git clone https github com zoctan spring boot vue admin git go to project cd spring boot vue admin go to backend cd api import database sql files remember to modify the database information sudo chmod a x resetdb sh resetdb sh start the backend go to frontend cd app install dependency npm install start the frontend npm run dev problem solve no such file ansi styles css loader bash npm err enoent enoent no such file or directory rename workspace spring boot vue admin app node modules staging css loader b931fe48 node modules ansi styles workspace spring boot vue admin app node modules staging ansi styles 6535fafb please install css loader firstly npm install css loader and install project dependency secondly npm install update log 2019 10 16 the webpack version is rolled back and there is no time to fix the new version update the discovered issues and add services exactly according to the backend template spring boot api seedling https github com zoctan spring boot api seedling git 2018 06 10 redis is removed because redis is mainly used as a cache database but it does not play much role in this project note that if you need to make the token invalid during logout you need to use redis together you can add it according to the backend template | spring-boot vue | front_end |
swie_overmiss_llm4mt | improving translation faithfulness of large language models via augmenting instructions overview todo add the abstract part here and a overview figure including model structure and data example we introduces a novel method named swie s egment w eighted i nstruction e mbedding which utilizes parameterized adapters to encode instruction and introduces segmented weight to enable a natural integration of instruction representations and global representations in order to further improve the model translation faithfulness we present overmiss an instruction dataset that utilizes our proposed framework to collect contrastive negative samples that specifically target over translation and miss translation issues the paper https arxiv org abs 2308 12674 has released in arxiv please refer it for more details div align center img width 45 alt test src fig swie structure png p class image caption figure 1 the model structure of swie p div div align center img width 70 alt test src fig overmiss example png p class image caption figure 2 an instance of translation instruction and an instance of overmiss p div environment python 3 8 3 transformers 4 28 0 dev0 deepspeed 0 8 3 numpy 1 21 torch 2 0 1 cu117 accelerate 0 16 0 datasets 2 9 0 sentencepiece sacrebleu dataset training data parrot hint open source at https github com wxjiao parrot overmiss train data overmiss hf json test data flores directory test flores wmt22 wmt22 concat wmt22 zero shot directory test wmt22 how to use train for llama 7b bash sh train scripts finetune 4gpu llama sh for bloomz 3b bash sh train scripts finetune 8gpu sh for bloomz 7b1 mt bash sh train scripts finetune 4gpu sh inference run the following script to get model inference result bash sh infer scripts run infer sh experiment todo add the experiment result figure here the experiment results are show as the following table div align center img width 70 alt test src fig result swie png div citation please kindly cite us if you find the paper code helpful inproceedings chen2023improving title improving translation faithfulness of large language models via augmenting instructions author yijie chen and yijin liu and fandong meng and yufeng chen and jinan xu and jie zhou year 2023 eprint 2308 12674 archiveprefix arxiv primaryclass cs cl | ai |
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trybe-soccer-club | trybe soccer club p img alt github language count src https img shields io github languages count igormarinhoargollo trybe soccer club color 2304d361 img alt repository size src https img shields io github repo size igormarinhoargollo trybe soccer club img alt github last commit src https img shields io github last commit igormarinhoargollo trybe soccer club img alt license src https img shields io badge license mit brightgreen details summary h2 brazil portugu s h2 summary esse projeto trata de um ranking de um campeonato de futebol onde poss vel atrav s dos endpoints consultar as partidas os times fazer o login consultar a fun o do usu rio al m disso poss vel se filtrar por partidas terminadas e por rankings em times da casa e visitantes br br o projeto trybe soccer club foi desenvolvido para fins educacionais no m dulo de backend no curso de desenvolvimento web full stack na trybe e al m da parcela do backend desenvolvida em node js e expressjs em typescript o projeto conta com um banco de dados relacionais desenvolvido em mysql atrav s da ferramenta de mapeamento objeto relacional orm sequelize br a parcela frontend dessa aplica o web foi desenvolvida e oferecida pela trybe br br live localmente a aplica o est funcionando como deveria entretanto tendo em vista a n o gratuidade do servi o de banco de dados do heroku a implementa o do banco n o foi realizada sendo assim para testar a aplica o basta realizar os passos indicados na se o como rodar e testar a aplica o objetivos elaborar o backend de um gerenciador de tabela de campeonato de futebol implementar as rotas login time partida ranking e outra para documenta o e teste implementar as rotas com consultas do banco de dados mysql utilizando o sequelize adotar boas pr ticas do ponto de vista de seguran a usando helmet rate limit e dotenv utilizar o swagger para criar a documenta o utiliza o do mapeamento objeto relacional orm utilizando sequelize como ferramenta configura o de arquivos docker para rodar o software elaborar testes de integra o cobrindo a princ pio 100 da aplica o outros testes ainda ser o desenvolvidos para melhorar ainda mais a aplica o web implementa o de endpoints com informa es necess rias para a alimenta o do frontend fornecido br br tecnologias utilizadas node js express js typescript programa o orientada a objetos poo arquitetura msc model service controller orm sequelize commits sem nticos conventional commits eslint docker helmet rate limit morgan swagger nyc mocha chai sinon dotenv br br como rodar clonar no seu computador via ssh no terminal git clone git github com igormarinhoargollo trybe soccer club git criar o arquivo env na pasta tsc backend chaves que devem ser inseridas no arquivo env dentro da pasta app backend jwt secret jwt secret app port 3001 db user root db pass 12345678 db host localhost db port 3306 criar o arquivo env na pasta tsc frontend chaves que devem ser inseridas no arquivo env dentro da pasta app frontend skip preflight check true rodar toda a aplica o requisitos docker docker compose iniciando todo o projeto acesse a pasta app e passe o seguinte comando no terminal docker compose up ap s a conclus o da configura o do container a aplica o estar dispon vel no localhost na porta 3000 definida no docker http localhost 3000 br br rodar apenas o backend iniciando a parte do backend acesse a pasta app backend br no terminal para startar o container npm run dev ap s o t rmino da configura o a aplica o estar dispon vel no localhost na porta definida no env http localhost 3001 sendo a documenta o dispon vel em http localhost 3001 api docs rotas get api docs post login get login validate get teams get teams id get matches post matches patch matches id patch matches id finish get leaderboard get leaderboard get leaderboard a api tem apenas dois endpoints protegidos por token o endpoint para criar uma partida e o endpoint para obter a posi o do usu rio podendo ser acessado com as seguintes credenciais no endpoint de login para a obten o do token email admin admin com password secret admin ap s a obten o do token no endpoint de login basta cola lo em bearer na chave authorization do header da requisi o como o exemplo token bearer eyjhbgcioijiuzi1niisinr5cci6ikpxvcj9 eyjlbwfpbci6imfkbwluqgfkbwlulmnvbsisimlhdci6mty2mtgwode4mswizxhwijoxnjyyndeyotgxfq usrh36s9e0p45oovnflgbmumz8x4c4mnqfojs2dlll8 testes desenvolvidos use npm test para rodar todos os testes e verificar cobertura br coverage app backend src images coverage png existem dois warning como resultado dos testes um trata de to test do env relacionado a chave secreta do jwt entretanto como os testes foram de integra o e portanto precisam estar corretos para funcionar ele foi indiretamente testada o outro warning trata da fun o que ordena os resultados e que tamb m indiretamente foram testadas j que os testes s o de integra o e para se obter o resultado correto o teste faz a verifica o como contribuir no projeto 1 fa a um fork do projeto 2 crie uma nova branch com as suas altera es git checkout b my feature 3 salve as altera es e crie uma mensagem de commit contando o que voc fez git commit m feature my new feature 4 envie as suas altera es git push origin my feature 5 abra o seu pull request na p gina do github br br autor a href https www linkedin com in igormarinhoargollo img style border radius 300px src https avatars githubusercontent com u 85767736 s 96 v 4 width 100px alt br sub b igor marinho argollo b sub a a href https www linkedin com in igormarinhoargollo a br br licen a esse projeto est sob a licen a img alt license src https img shields io badge license mit brightgreen br br details us english this project deals with a ranking of a soccer championship where it is possible through the endpoints to consult the matches teams login and consult the user s role in addition it is possible to filter by finished games score of home s team and visitors br br the trybe soccer club project was developed for educational purposes in the backend module of the full stack web development course at trybe and in addition to the backend part developed in node js and expressjs in typescript the project has a relational database developed in mysql through the sequelize object relational mapping orm tool br the frontend part of this web application was developed and provided by trybe br br live locally the application is working as it should however due to the non gratuity of the heroku database service the database implementation was not carried out therefore to test the application just follow the steps indicated in the section on how to run and test the application my goals develop the backend of a football league table manager implement the routes login teams matches leaderboar and another one for documentation and testing implement routes with mysql database queries using sequelize adopt best practices from a security point of view using helmet rate limit and dotenv use swagger to create documentation use of object relational mapping orm using sequelize as a tool configuration of docker files to run the software develop integration tests covering in principle 100 of the application other tests will still be developed to further improve the web application implement of endpoints with information needed to feed the provided frontend br br used technologies node js express js typescript programa o orientada a objetos poo arquitetura msc model service controller orm sequelize commits sem nticos conventional commits eslint docker helmet rate limit morgan swagger nyc mocha chai sinon dotenv br br how to run clone the repository on your computer via ssh on terminal git clone git github com igormarinhoargollo trybe soccer club git create env file on tsc backend these keys mus be inserted on env file inside app backend jwt secret jwt secret app port 3001 db user root db pass 12345678 db host localhost db port 3306 create env file on tsc frontend these keys mus be inserted on env file inside app frontend skip preflight check true running on container requirements docker docker compose starting all the project go to app file and use on terminal docker compose up after the end of the containers configuration the application will be available on localhost on port 3000 witch was defined on docker files http localhost 3000 running only the backend starting the backend portion go to app backend br on terminal npm run dev after the end of configuration the application will be available on localhost on port 3001 witch was defined on env file http localhost 3001 to see the api s documentation http localhost 3001 api docs routes get api docs post login get login validate get teams get teams id get matches post matches patch matches id patch matches id finish get leaderboard get leaderboard get leaderboard the api has only two token protected endpoints the endpoint to create a match and the endpoint to get the user s position which can be accessed with the following credentials in the login endpoint to get the token email admin admin com password secret admin after obtaining the token in the login endpoint just paste it in bearer in the authorization key of the request header as example token bearer eyjhbgcioijiuzi1niisinr5cci6ikpxvcj9 eyjlbwfpbci6imfkbwluqgfkbwlulmnvbsisimlhdci6mty2mtgwode4mswizxhwijoxnjyyndeyotgxfq usrh36s9e0p45oovnflgbmumz8x4c4mnqfojs2dlll8 developed tests use npm test to run all tests and verify coverage br coverage app backend src images coverage png there are two warnings as a result of the tests one deals with testing the env related to the jwt secret key however as the tests were integration tests it s already inderectly testes so there s no need do others specific tests the other warning deals with the function that orders the results and it is also indirectly tested since the the tests are integration tests obtaining the right answer in others tests means that the sort function is working properlly how to contribute on the project 1 make a fork of the project 2 create a new branch with your changes git checkout b my feature 3 save your changes and create a commit message explaining what you have done git commit m feature my new feature 4 send your changes git push origin my feature 5 open your pull request on github br br author a href https www linkedin com in igormarinhoargollo img style border radius 300px src https avatars githubusercontent com u 85767736 s 96 v 4 width 100px alt br sub b igor marinho argollo b sub a a href https www linkedin com in igormarinhoargollo a br license this project is under license img alt license src https img shields io badge license mit brightgreen br br | server |
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rocky | this repository is archived stable production ready releases of rocky linux have been available since june 2021 please visit rockylinux org https rockylinux org for current information about rocky linux p align center i thinking back to early centos days my cofounder was rocky mcgaugh he is no longer with us so as a h t to him who never got to see the success that centos came to be i introduce to you rocky linux i br gregory kurtzer founder p about rocky linux is a community enterprise operating system designed to be 100 bug for bug compatible with enterprise linux now that centos has shifted direction frequently asked questions q what do you mean centos has shifted direction the centos project recently announced https blog centos org 2020 12 future is centos stream a shift in strategy for centos whereas previously centos existed as a downstream build of its upstream vendor it receives patches and updates after the upstream vendor does it will be shifting to an upstream build testing patches and updates before inclusion in the upstream vendor additionally support for centos linux 8 has been cut short from may 31 2029 to december 31 2021 q so where does rocky linux come in rocky linux aims to function as a downstream build as centos had done previously building releases after they have been added to the upstream vendor not before q when will it be released release is planned for q2 2021 q what is the vision for rocky linux a solid stable and transparent alternative for production environments developed by the community for the community q who drives rocky linux we all do rocky linux is a community driven project and always will be rocky linux will not be sold or driven by corporate interest q how can i get involved please view the contributing contributing section below contact team contact press community rockylinux org development development rockylinux org infrastructure infrastructure rockylinux org security security rockylinux org web and branding web rockylinux org brand rockylinux com for all other questions hello rockylinux org stay informed mattermost https chat rockylinux org forum https forums rockylinux org github https github com rocky linux twitter https twitter com rocky linux irc https webchat freenode net channels rockylinux reddit https www reddit com r rockylinux matrix https matrix to rockylinux matrix org contributing thank you for your interest in contributing to the project if you are a developer architect engineer or otherwise looking to contribute your time and expertise please consider joining the mattermost https chat rockylinux org and jumping into the most relevant channel to your interests if you are interested in donating or sponsoring the project please email donations rockylinux org or sponsor rockylinux org respectively note we do not currently have any official crowdsourcing established special thanks we would like to thank the following groups for their support thus far on the project ctrl iq inc https www ctrliq com the osu open source lab https osuosl org clouvider https www clouvider co uk spryservers https www spryservers net fmi groupe https www fmi fr | rocky enterprise-linux | os |
lbrycrd | lbrycrd the lbry blockchain build status https travis ci org lbryio lbrycrd svg branch master https travis ci org lbryio lbrycrd mit licensed https img shields io dub l vibe d svg style flat https github com lbryio lbry desktop blob master license lbrycrd uses a blockchain similar to bitcoin s to implement an index and payment system for content on the lbry network it is a fork of bitcoin core https github com bitcoin bitcoin in addition to the libraries used by bitcoin lbrycrd also uses icu4c https github com unicode org icu tree master icu4c please read the lbry tech overview https lbry tech overview for a general understanding of the lbry pieces from there you could read the lbry spec https spec lbry com for specifics on the data in the blockchain table of contents 1 installation installation 2 usage usage 1 examples examples 2 data directory data directory 3 running from source running from source 1 ubuntu with pulled static dependencies ubuntu with pulled static dependencies 2 ubuntu with local shared dependencies ubuntu with local shared dependencies 3 macos cross compiled macos cross compiled 4 macos with local shared dependencies macos with local shared dependencies 5 windows cross compiled windows cross compiled 6 use with clion use with clion 4 contributing contributing testnet testnet 5 mailing list mailing list 6 license license 7 security security 8 contact contact installation latest binaries are available from https github com lbryio lbrycrd releases there is no installation procedure the cli binaries will run as is and will have any uncommon dependencies statically linked into the binary the qt gui is not supported lbrycrd is distributed as a collection of executable files traditional installers are not provided usage the lbrycrdd executable will start a lbrycrd node and connect you to the lbrycrd network use the lbrycrd cli executable to interact with lbrycrdd through the command line command line help for both executables are available through the help flag e g lbrycrdd help examples examples run lbrycrdd server daemon to start lbrycrdd in the background run lbrycrd cli getinfo to check for some basic information about your lbrycrd node run lbrycrd cli help to get a list of all commands that you can run to get help on specific commands run lbrycrd cli command name help test locally sh lbrycrdd server regtest txindex run this in its own window lbrycrd cli regtest generate 120 mine 20 spendable coins lbrycrd cli regtest claimname my name deadbeef 1 hold a name claim with 1 coin lbrycrd cli regtest generate 1 get that claim into the block lbrycrd cli regtest listnameclaims show owned claims lbrycrd cli regtest getclaimsforname my name show claims under that name lbrycrd cli regtest stop kill lbrycrdd rm fr lbrycrd regtest destroy regtest data for further understanding of a regtest setup see the local stack setup instructions here https lbry tech resources regtest setup the cli help is also browsable online at https lbry tech api blockchain data directory lbrycrdd will use the below default data directories changeable with datadir sh windows appdata lbrycrd mac library application support lbrycrd unix lbrycrd the data directory contains various things such as your default wallet wallet dat debug logs debug log and blockchain data you can optionally create a configuration file lbrycrd conf in the default data directory which will be used by default when running lbrycrdd for a list of configuration parameters run lbrycrdd help below is a sample lbrycrd conf to enable json rpc server on lbrycrdd sh rpcuser lbry rpcpassword xyz123456790 daemon 1 server 1 txindex 1 running from source the easiest way to compile is to utilize the docker image that contains the necessary compilers lbry build lbrycrd this will allow you to reproduce the build as made on our build servers in this sample we map a local lbrycrd folder and a local ccache folder inside the image sh git clone https github com lbryio lbrycrd git cd lbrycrd docker run v pwd lbrycrd rm v home ccache ccache w lbrycrd e ccache dir ccache lbry build lbrycrd packaging build linux 64bit sh some examples of compiling directly ubuntu with pulled static dependencies sh sudo apt install build essential git libtool autotools dev automake pkg config bsdmainutils curl ca certificates git clone https github com lbryio lbrycrd git cd lbrycrd packaging build linux 64bit sh src test test lbrycrd other linux distros would be similar the build shell script is fairly trivial take a peek at its contents ubuntu with local shared dependencies note using untested dependencies may lead to conflicting results sh sudo add apt repository ppa bitcoin bitcoin sudo apt get update sudo apt get install libdb4 8 dev libdb4 8 dev libicu dev libssl dev libevent dev build essential git libtool autotools dev automake pkg config bsdmainutils curl ca certificates libboost system dev libboost filesystem dev libboost chrono dev libboost test dev libboost thread dev optionally include libminiupnpc dev libzmq3 dev git clone https github com lbryio lbrycrd git cd lbrycrd autogen sh configure enable static disable shared with pic without gui cxxflags o3 march native make j nproc src lbrycrdd server macos cross compiled sh sudo apt get install clang llvm git libtool autotools dev automake pkg config bsdmainutils curl ca certificates libboost system dev libboost filesystem dev libboost chrono dev libboost test dev libboost thread dev git clone https github com lbryio lbrycrd git cd lbrycrd download macos sdk from your favorite source mkdir depends sdks tar extract sdk to depends sdks macosx10 11 sdk packaging build darwin 64bit sh look in packaging build darwin 64bit sh for further understanding macos with local shared dependencies sh brew install boost berkeley db 4 icu4c libevent fix conflict with gawk pulled first brew reinstall readline brew reinstall gawk git clone https github com lbryio lbrycrd git cd lbrycrd depends make no qt 1 cd autogen sh config site pwd depends x86 64 apple darwin15 6 0 share config site configure enable static disable shared with pic without gui enable reduce exports cxxflags o2 make j sysctl n hw ncpu windows cross compiled compiling on ms windows outside of wsl is not supported the windows build is cross compiled from linux like so sh sudo apt get install build essential git libtool autotools dev automake pkg config bsdmainutils curl ca certificates g mingw w64 x86 64 mingw w64 x86 64 dev update alternatives set x86 64 w64 mingw32 g usr bin x86 64 w64 mingw32 g posix git clone https github com lbryio lbrycrd git cd lbrycrd packaging build windows 64bit sh if you encounter any errors please check doc build md for further instructions if you re still stuck create an issue https github com lbryio lbrycrd issues new with the output of that command your system info and any other information you think might be helpful the scripts in the packaging folder are simple and will grant extra light on the build process as needed use with clion clion has not traditionally supported autotools projects although some progress on that is now in the works we do include a cmake build file for compiling lbrycrd see contrib cmake alas clion doesn t support external projects in cmake so that particular approach is also insufficient clion does support compile commands json projects fortunately this can be easily generated for lbrycrd like so sh pip install user compiledb autogen sh configure enable static no enable shared with pic without gui cxxflags o0 g cflags o0 g or whatever normal lbrycrd config compiledb make j10 then open the newly generated compile commands json file as a project in clion debugging is supported if you compiled with g to enable that you will need to create a target in clion by going to file settings build custom build targets add an empty target with your choice of name from there you can go to edit configurations typically found in a drop down at the top of the editor add a custom build application select your new target select the compiled file i e test lbrycrd or lbrycrdd etc and then add any necessary command line parameters ensure that there is nothing in the before launch section contributing contributions to this project are welcome encouraged and compensated for more details see https lbry tech contribute https lbry tech contribute we follow the same coding guidelines as documented by bitcoin core see here doc developer notes md to run an automated code formatting check try git diff u0 master h cpp contrib devtools clang format diff py p1 this will check any commits not on master for proper code formatting we try to avoid altering parts of the code that is inherited from bitcoin core unless absolutely necessary this will make it easier to merge changes from bitcoin core if commits are expected not to be merged upstream i e we broke up a commit from bitcoin core in order to use a single feature in it the commit message must contain the string not for upstream merge the master branch is regularly built and tested but is not guaranteed to be completely stable releases https github com lbryio lbrycrd releases are created regularly to indicate new official stable release versions testing and code review is the bottleneck for development we get more pull requests than we can review and test on short notice please be patient and help out by testing other people s pull requests and remember this is a security critical project where any mistake might cost people lots of money developers are strongly encouraged to write unit tests src test readme md for new code and to submit new unit tests for old code unit tests are compiled by default and can be run with src test test lbrycrd the travis ci system makes sure that every pull request is built and that unit and sanity tests are automatically run see https travis ci org lbryio lbrycrd testnet testnet is maintained for testing purposes and can be accessed using the command lbrycrdd testnet if you would like to obtain testnet credits please contact brannon lbry com or grin lbry com it is easy to solo mine on testnet it s easy on mainnet too but much harder to win for instructions see sgminer https github com lbryio sgminer gm and mining contributions https github com lbryio lbrycrd tree master contrib mining mailing list we maintain a mailing list for notifications of upgrades security issues and soft hard forks to join visit https lbry com forklist https lbry com forklist license this project is mit licensed for the full license see license license security we take security seriously please contact security lbry com mailto security lbry com regarding any security issues our pgp key is here https lbry com faq pgp key if you need it contact the primary contact for this project is brannonking https github com brannonking brannon lbry com | blockchain cryptocurrency bitcoin lbry decentralized c-plus-plus | blockchain |
busy | circleci build status https circleci com gh busyorg busy svg style shield circle token circle token https circleci com gh busyorg busy crowdin http d322cqt584bo4o cloudfront net busy localized svg https translate busy org project busy github license https img shields io badge license mit blue svg https raw githubusercontent com busyorg busy new design license busy channel on discord https img shields io badge chat discord 738bd7 svg https discord gg g95rnzs prs welcome https img shields io badge prs welcome brightgreen svg http makeapullrequest com busy busy is an open source social network and communications platform which extends itself to a variety of rich features and functionality including free digital payments and a marketplace for goods and services for more info https busy org busy org preview preview https user images githubusercontent com 16245250 35974135 6fe56d5a 0d0a 11e8 99f6 a90d59696f82 png quick setup bash git clone https github com busyorg busy git cd busy yarn yarn dev production build bash git clone https github com busyorg busy git cd busy yarn yarn build yarn start getting involved we at busy really appreciate help from the community we want to make the busy project as friendly as possible to contributors it doesn t matter if you are a beginner looking for a place to improve your skills or just want to help us build something great if you would like to contribute but don t know what to work on check our contributing guide contributing backers busy is an mit licensed open source project it s an independent project with its ongoing development made possible entirely thanks to the support by these awesome backers steemit https busy org steemit smooth https busy org smooth jamesc https busy org jamesc cass https busy org cass bhuz https busy org bhuz twinner https busy org twinner liondani https busy org liondani donkeypong https busy org donkeypong furion https busy org furion deanliu https busy org deanliu teamsteem https busy org teamsteem hanshotfirst https busy org hanshotfirst exyle https busy org exyle fulltimegeek https busy org fulltimegeek shortcut https busy org shortcut twinner https busy org twinner sweetsssj https busy org sweetsssj craig https busy org craig beers https busy org beers shaka https busy org shaka andu https busy org andu ourlifestory https busy org ourlifestory delegate https busy org delegate joshbreslauer https busy org joshbreslauer aizensou https busy org aizensou rubenalexander https busy org rubenalexander roelandp https busy org roelandp stellabelle https busy org stellabelle twinner https busy org twinner pnc https busy org pnc lukestokes https busy org lukestokes pharesim https busy org pharesim buzzbeergeek https busy org buzzbeergeek timcliff https busy org timcliff blockchainstudio https busy org blockchainstudio partners https res cloudinary com hpiynhbhq image upload v1507199425 hevqheh9nltx0dfbuvo8 png https crowdin com project busy https res cloudinary com hpiynhbhq image upload v1507199050 fqxowyhiwlj9vhb5wdue png https www browserstack com contributing docs contributing md | busy steem steemconnect | blockchain |
jaydurantl | mod h ttp 2 http 2 for apache httpd this repository contains mod h ttp 2 and mod proxy h ttp 2 from apache httpd as a standalone build it servers as early access to features and fixes before being shipped in the next apache release both modules can be considered production ready and stable as shipped by the apache project status mod h ttp 2 is an official apache httpd module since release 2 4 17 mod proxy h ttp 2 has been added in apache in 2 4 23 the versions here at github are for more frequent releases than the apache schedule provides for thanks the following beautiful people have directly contributed to this project via commits over the years julian reschke lubos uhliarik luca toscano matsumoto ryosuke michael kaufmann michael ko ller mike frysinger nicholas race nicolas noble petri koistinen sam hurst tatsuhiro tsujikawa install you need a built apache httpd 2 4 34 or newer including apxs and headers to compile and run this module additionally you need an installed libnghttp2 at least in version 1 7 0 and additionally you want an installed openssl 1 0 2 or later tl dr you need an installed recent apache 2 4 x apache 2 4 x packages ubuntu ppa by ondrej https launchpad net ondrej archive ubuntu apache2 for ubuntu 14 04 and others fedora shipped in fedora 23 and later https bodhi fedoraproject org updates packages httpd debian sid unstable how to install debian sid https wiki debian org installfaq q how do i install 22unstable 22 28 22sid 22 29 3f gentoo latest stable https packages gentoo org packages www servers apache freebsd apache 2 4 port includes mod http2 http www freshports org www apache24 mod http2 port http www freshports org www mod http2 changes see changelog for details tests i decided to make the test suite part of this repository again the existing suite resides in test apache httpd test repository and is a set of shell scripts it works but i miss features that professional test frameworks bring the tests included here use python3 and pytest which i think is an excellent way to do tests i use it also in my let s encrypt module mod md you can build the module without having the test prerequisites if you want to run them however you need pytest python3 and a curl with http2 support then you can make make test mod proxy http2 this module is part of the apache httpd proxy architecture and functions similar to mod proxy http and friends to configure it you need to use h2 or h2c in the proxy url example proxy balancer h2 local balancermember h2 test example org subst port https subst proxy proxy balancer h2c local balancermember h2c test example org subst port http subst proxy ifmodule proxy http2 module proxypass h2proxy balancer h2 local proxypassreverse h2proxy balancer h2 local proxypass h2cproxy balancer h2c local proxypassreverse h2cproxy balancer h2c local ifmodule this will only work under the following conditions the backend speaks http 2 the module will not fallback to http 1 1 the backend supports http 2 direct mode see also h2direct directive of mod http2 all other common httpd proxy directives also apply documentation the official apache documentation of the module https httpd apache org docs 2 4 en mod mod http2 html i also compiled a how to h2 in apache https icing github io mod h2 howto html document with advice on how to deploy configure and verify your mod h ttp 2 installation build from git still not dissuaded ok here are some hints to get you started building from git is easy but please be sure that at least autoconf 2 68 is used autoreconf i automake autoconf configure with apxs path to apxs make licensing please see the file called license credits this work has been funded by the gsm association http gsma com the module itself was heavily influenced by mod spdy the google implementation of their spdy protocol and without tatsuhiro tsujikawa excellent nghttp2 work this would not have been possible m nster 04 11 2019 stefan eissing greenbytes gmbh copying and distribution of this file with or without modification are permitted in any medium without royalty provided the copyright notice and this notice are preserved this file is offered as is without warranty of any kind see license for details | ai |
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ECE4534 | ece4534 need to debug ece4534 gui gui mainwindow py ln 175 | os |
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NixWeatherC | nixweatherc stop doing things with c c is trash this an astro simple and ultra light c application fetching weather informations ideal on embedded systems weather information the program is using curl to fetch weather informations as a json format weather api source https open meteo com installing dependencies bash apt install y libcurl4 openssl dev starting demo code bash make renew main author nix dev | os |
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d1s-melis | d1s melis allwinner melis rtos for d1s toolchain before compiling please download the compilation toolchain and place it to prebuilt directory github tina linux d1s melis releases https github com tina linux d1s melis releases command before all lunch lunch product name build variant build project cleaning targets clean remove most generated files but keep the config and enough build support to build external modules mrproper remove all generated files config various backup files distclean mrproper remove editor backup and patch files configuration targets make menuconfig to to do the customilize configuration other generic targets all build all targets marked with melis build the bare kernel modules build all modules gtags generate gnu global index static analysers checkstack generate a list of stack hogs namespacecheck name space analysis on compiled kernel versioncheck sanity check on version h usage includecheck check for duplicate included header files export report list the usages of all exported symbols headers check sanity check on exported headers headerdep detect inclusion cycles in headers coccicheck check with coccinelle kernel selftest running kselftest on it kselftest clean remove all generated kselftest files kselftest merge merge all the config dependencies of kselftest to existing jump directory croot jump to the top of the tree cboot jump to uboot cboot0 jump to boot0 cdts jump to device tree cbin jump to uboot boot0 bin directory ckernel jump to kernel cdevice jump to target ccommon jump to platform common cconfigs jump to configs of target cout jump to out directory of target ctarget jump to target of compile directory crootfs jump to rootfs of compile directory ctoolchain jump to toolchain directory callwinnerpk jump to package allwinner directory ctinatest jump to tinateset directory godir go to the directory containing a file grep file cgrep greps on all local c c files how to build register the environment variables of the sdk with the compilation server host shell source melis env sh enter lunch then enter 2 and select the d1s scheme d1s evb board shell lunch build projcet shell make j65535 pack the target image shell pack pack spi nor flash pack a nand pack spi nand flash sd card how to download using the phoenixsuit tool to burns the melis d1s evb board uart0 8mnor img firmware in the out directory | os |
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BC-Roadmap | simple roadmap for technical blockchain enthusiasts this reference is not completed yet and my ultimate goal is to complete and share it as an article with the global community quot in english format quot and with my local community quot in arabic format quot please feel free to suggest and collaborate prerequisites fundamentals nbsp nbsp nbsp nbsp before you start in web3 and decide what technical role you want to play you need to understand the fundamentals very well 1 peer to peer fundamentals you should know 1 what is it 2 how it works 3 difference between p2p and client server model the best resources to learn these fundamentals are 1 check the references 2 cryptography fundamentals you should know 1 hash functions 2 digital signature 3 public key s cryptography 4 symmetric encryption 5 asymmetric encryption 6 merkel trees the best resources to learn these fundamentals are 1 mit course first lecture https www youtube com watch v ijqueyhiq u amp list plul4u3cngp61khzhg3jijdk08jlslclid amp index 1 and maybe the third https www youtube com watch v 0q5iimx aac list plul4u3cngp61khzhg3jijdk08jlslclid index 4 as well 2 chapter 1 1 https cryptoeconomics study docs en sync getting started course overview 3 check the references start with selecting blockchain network select the blockchain network you want to learn amp understand the architecture very well regardless of the network you should start with learning the bitcoin fundamentals the first successful blockchain implementation why because most of the documents whitepapers or tutorials always explain any blockchain network by holding a comparison with bitcoin based on your selected network you have a different path of course but the best way for me is to start with understanding the architecture then how to develop and what are the available tools and so you should know the general arch how it works how nodes reach consensus and what are the main features that this network supports e g support smart contracts functionality permission blockchain or permissionless etc below is list of the top blockchain network with resources to learn about 1 the best resources to learn about bitcoin are 1 mastering bitcoin https github com bitcoinbook bitcoinbook book 2 mit course quot the first 11 videos are a must https www youtube com watch v ijqueyhiq u amp list plul4u3cngp61khzhg3jijdk08jlslclid amp index 1 3 this is a cool way to learn https cryptoeconomics study docs en sync getting started course overview 4 check the references for more details 2 the best resources to learn about ethereum are 1 mastering ethereum https github com ethereumbook ethereumbook book 2 check the references for more details 3 the best resources to learn about hyperledger fabric are 1 the documentation https hyperledger fabric readthedocs io en v1 0 5 fbclid iwar1hpdfbaqg5rkcou00yrigggx82miiwuahev8ew9fkdufxspsuqzgnumzq 2 module 7 in edx course https l facebook com l php u https 3a 2f 2fcourses edx org 2fcourses 2fcourse v1 3alinuxfoundationx 2blfs171x 2b3t2017 2fcourse 2f 3ffbclid 3diwar3p1zyunpj9wx0ofwo82 q4vbhuzbsoqwvqwpyopaero4qnfkrrfhjobum amp h at0m6ktmvcwbbaqclv73fzpfzepisbwutr012huhicrgpgfus5ehhbaap1uouefjfhbzt0cy0yazmb3bfjl6h vlzw5syyuxtjdzbnfb hfij0 in3upvwwctq 4 the best resources to learn about consensys quorum are 1 tbd 5 the best resources to learn about polkadot are 1 tbd 6 the best resources to learn about ethereum swarm are 1 tbd 7 the best resources to learn about near are 1 vision of near https near org blog the near foundations vision for the future 2 near in nutsell https docs google com document d 1fg3pntkw727z5svyubj2nnxn5mznsgyeziu2y7xtlyy 3 bc near concepts docs https docs near org concepts basics protocol 4 start development arabic course https www udemy com course introduction to blockchain in arabic text d9 8a d9 82 d9 88 d9 85 20 d8 b4 d8 ae d8 b5 20 d9 85 d8 a7 20 d8 a8 d8 aa d8 ad d9 85 d9 8a d9 84 20 d8 a8 d8 b1 d9 85 d8 ac d9 8a d8 a9 d8 b9 d9 84 d9 89 20 d8 a7 d8 b9 d8 aa d8 a8 d8 a7 d8 b1 20 d8 a3 d9 86 d9 87 d8 a7 20 d8 a3 d8 b5 d8 a8 d8 ad d8 aa 20 d8 b9 d8 a7 d9 85 d8 a9 5 near 101 workshop https www youtube com watch v m6ljuppphoe 6 development tutorial english https dacade org communities near 7 concepts crash course english https www youtube com playlist list pl9tzqn teufwjwvbg5v6eva2dtyl 2lj 8 token economics english https www youtube com playlist list plsjwgob5mimcmxqvvwap4xi19eokhcbnn 9 other great learning resources near university https www near university learn by yourself 8 the best resources to learn about free ton are 1 freeton org 2 ton dev 9 the best resources to learn about cardano polkadot solana are 1 select the role you want to play different paths based on the role you want to play and based on the silks you already have blockchain is a new technology with lots of roles that you can play but based on your end goals and your current knowledge and experience you have your own unique path 1 check this funny video https www youtube com watch v j7cv8vljq4s amp feature youtu be to get a very quick overview 2 check this article if you want to learn more in depth https medium com coinmonks to be a blockchain developer or to be dapps developer fe6618f44dd1 3 check the references for more details specialize in a specific subdomain blockchain is like a general umbrella that has lots of subdomains and after a while you might need to sharpen your knowledge in a specific subdomain 1 defi tbd 2 nft tech 1 intro to nft what s nft https www odysseydao com articles what is nft https nftschool dev concepts non fungible tokens a bit of history 2 nft standardizations e g erc721 erc1155 3 awesome nfts top projects and what s amazing about them share amazing tech features https github com gianni dalerta awesome nft 4 content addressing decentralized storage networks discuss its relation to nfts https nftschool dev concepts content addressing the basic problem 5 metadata schemas 6 building a successful nft project https www freecodecamp org news how to make an nft https ethereum org en developers tutorials how to write and deploy an nft non tech 1 why use nfts https www theverge com 22310188 nft explainer what is blockchain crypto art faq https n26 com en eu blog what is an nft 2 why not use nfts https thefinanciallyindependentmillennial com 8 reasons to not invest in nfts text 3 high 20risk 20of 20fraud claim 20ownership 20of 20their 20work text they 20are 20plagiarizing 20artists 20original prices 20than 20its 20real 20value 3 using as a utility nfts gaming metaverse etc use cases https medium com space seven 6 game changing nft use cases in 2022 738e67ab14cb 4 nft community platforms https www coindesk com business 2021 10 14 15 nft use cases that could go mainstream 5 nft trends over the last two years vs now defi nfts and metaverse relationship 3 daos a comprehensive paper to learn about dao https www linkedin com posts emanherawy decentralized autonomous organizations activity 6954184130318200832 hetx utm source linkedin share utm medium member desktop web dao guide https docs google com spreadsheets d 16idgiypcfwjgg zmxemaenybepqvhkc2p6wcwkezgpk edit gid 2143755576 4 tokenization tbd 5 metaverse 1 understanding the metaverse https tuhat helsinki fi ws portalfiles portal 169348619 metaverse pdf https github com m3 org awesome metaverse https github com shadowcz007 awesome metaverse 6 blockchain auditing smart contract security auditing roadmaps https www adrianhetman com how to become smart contract auditor https www getastra com blog knowledge base blockchain security bootcamp https secureum substack com git repos https github com crytic awesome ethereum security audit contests bug bounties https code4rena com https immunefi com https www adrianhetman com do you need to know programming to work as an auditor books papers https eprint iacr org 2016 1007 pdf https www packtpub com product hands on cybersecurity with blockchain 9781788990189 audits https github com sigp public audits blob master chainlink 1 review pdf newsletters https rekt news https newsletter blockthreat io resources in different languages arabic https www youtube com playlist list pl ngz6xa2xstrqsgvzestutuzpbtdlgms https www youtube com playlist list pl ngz6xa2xstrqsgvzestutuzpbtdlgms https www youtube com channel uc5c3hfu ss67q0msnc9c zg videos https www youtube com channel uc5c3hfu ss67q0msnc9c zg videos https www youtube com playlist list plxicrha0si3q0kfq1qvl9cx8uqr1acnaz https www youtube com playlist list plxicrha0si3q0kfq1qvl9cx8uqr1acnaz https www youtube com watch v avttuf0roc0 amp list plmyf6nklrdn9b1zusytducafrip551bqp amp index 1 https www youtube com watch v avttuf0roc0 amp list plmyf6nklrdn9b1zusytducafrip551bqp amp index 1 references 1 learning paths 1 https cryptoeconomics study en https cryptoeconomics study en 2 https www blockchain council org blockchain how can a newbie start learning about blockchain https www blockchain council org blockchain how can a newbie start learning about blockchain 3 https www codemag com article 1805061 understanding blockchain a beginners guide to ethereum smart contract programming https www codemag com article 1805061 understanding blockchain a beginners guide to ethereum smart contract programming 4 https ocw mit edu courses media arts and sciences mas s62 cryptocurrency engineering and design spring 2018 index htm https ocw mit edu courses media arts and sciences mas s62 cryptocurrency engineering and design spring 2018 index htm 2 general resource list 1 https www unicef org innovation blockchain learning hub https www unicef org innovation blockchain learning hub 2 https www aallnet org resource guide blockchain resources https www aallnet org resource guide blockchain resources 3 https www theblockchainacademy com resources https www theblockchainacademy com resources 4 https eattheblocks com category guide https eattheblocks com category guide 3 git repos 1 https github com blockchainedindia resources https github com blockchainedindia resources 2 https github com nqcm learning blockcha in https github com nqcm learning blockchain 3 https github com consensys ethereum developer tools list new developers start here https github com consensys ethereum developer tools list new developers start here 4 crypto ecosystem grants https github com amy jung crypto ecosystem grants blob main readme md 4 nft resources https nftschool dev https www odysseydao com articles what is nft https github com gianni dalerta awesome nft https nft school com ultimate nft guide https studio gometa io | blockchain ethereum crypto nft education community | blockchain |
ibu-devops-engineering-on-aws-cloud-group-9 | devops engineering on aws cloud project this project was done at the international burch university for the course it 334 devops engineering on aws cloud professor d enana d evlan team this project was done by group 9 consisting of ajdin bajri ajdinbajric https github com ajdinbajric benjamin mehanovi benjom22 https github com benjom22 amar genjac amargenjac https github com amargenjac structure project structure consists of docs all documentation and files of the project aws project presentation containing the presentation of the project aws project estimate estimation of the cost of the services used in the project aws project schema schema of the proposed solution helper scripts scripts used in the project script 1 for secret creation in secret manager script 2 used for load testing script 3 used to migrate the data from the original database to the new amazon rds database userdatascript phase 2 used for installing web application and database to the vm application code code of the web application | cloud |
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gittok | gittok gittok pronouced jee tock is a free and open source learning assistance tool for introductory course on geographic information technology the author morishige ota releases gittok under the gnu public license gpl version 3 source code and creative commons attribution noncommercial sharealike 3 0 unported texts and slides since 2014 | server |
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Sift | sift sift is a set of libraries for interpreting useful information from unstructured data sift employs techniques commonly found in natural language processing like stemming sentiment analysis word segmentation etc sift uses trooper profiles https github com regunathb trooper as its runtime container samples example tag cloud camera tags https github com regunathb sift raw master docs images camd7fnwyqngxf5w png | ai |
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FullStack_Info_HW05 | fullstack info hw05 full stack web development hw05 flask | front_end |
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Blockchain-SCRM | 1 2 3 3 0 scrm https github com cinoliu blockchain scrm node js vue2 echarts https github com cinoliu organization circle api es6 promise x x x x x x x x https raw githubusercontent com cinoliu organization circle master image hudong jpg https raw githubusercontent com cinoliu organization circle master image wode jpg https raw githubusercontent com cinoliu organization circle master image xuqiufenxi jpg https raw githubusercontent com cinoliu organization circle master image renxingfenxi jpg https raw githubusercontent com cinoliu organization circle master image shehuizhuyin jpg | blockchain |
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iot-dashboard | iot dashboard language ruby framework dashboard https raw github com gmszone iot dashboard master doc screenshot png how to run 1 bundle install 2 dashing start | server |
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ComVEX | comvex computer vision expo pypi version https img shields io pypi v comvex color blue https pypi org project comvex package status https img shields io pypi status comvex models testing https img shields io github workflow status blakechi comvex comvex 20testing downloads https pepy tech badge comvex https pepy tech project comvex hi there this is a reimplementation library for computer vision models by pytorch https github com pytorch pytorch and einops https github com arogozhnikov einops our mission is to bridge papers and codes with consistent and clear implementations what are the pros 1 consistent structure every models share similar building objects xxxbase a model s base for checking common input arguments and storing important variables sometimes it can also provide specified weight initialization methods or necessary tensor operations like patching and flattening images in vit xxxbackbone a model s backbone architecture it includes every needed components to build the model except the classifier xxxwithlinearclassifier xxxbackbone plus a projection head as its classifier only accept xxxconfig as its argument similar to huggingface https github com huggingface might provide some variants for differenet objective in the future xxxconfig a configuration for all possible coefficients it also provides model specializations mentioned in the papers 2 consistent namings for papers and across papers to make researchers or developers understand implementations as soon as possible we tightly follow the names of model components from the official papers and be consistent on common namings across papers 3 clear tensor operations we use einops for almost all tensor operations to unveil the dimensions of tensors which are usually hidden in the code and make our implementations explain by themselves 4 clear arguments to expose all possible arguments to users but still remain convenience we categorize building objects into a hierarchical order with 3 levels listed from bottom to top as below basic the paper proposed and essential objects that mostly inherit directly from nn module or other basic objects like vitbase multiheadattention spatialgatingunit etc wrapper intermediate objects or wrappers that organize basic ones like transformerencoderlayer perceiverblock mlpmixerlayer xxxwithlinearclassifier etc model xxxbackbone and xxxconfig basic and model objects are the ones crucial for paper to code mappings and model usages so we require their arguments to be fully explicit to users list all arguments in init methods and for the sake of convenience wrapper objects can use args or kwargs to pass down necessary arguments the overall model structures in term of the number of required arguments will look like a hourglass 5 semantic naming excluding some common names like x for the input tensors ff dropout for the dropout rate of feed forward networks and act func name for a string of activation function s name supported by pytorch https github com pytorch pytorch all variables helper functions and objects should be named meaningfully 6 detailed model information every models has its own readme md that provides usages one by one argument explanations and all usable objects and specializations the official implementations are provided as well if any mentioned in the official paper how to install console pip3 install comvex how to use please check out the usage section detailed in models own readme md how to contribute please check out the contributing md for details notes continuously implementing models please check them out under the comvex folder for more details and examples folder for some demos pull requests are welcome from this issue https github com pytorch pytorch issues 42885 inheritance doesn t support in torchscript therefore most of our implementations aren t scriptable but trace seems that doesn t exist this kind of issue and we will use trace as our default and gradually update our code to make comvex a trace supported library | pytorch computer-vision einop transformer | ai |
YoutubeTrending | table of contents 1 introduction readme md introduction 2 pipeline readme md pipeline 3 how it works readme md how 20it 20works 4 environment set up readme md environment 20setup introduction youtube trending create a data pipeline to process youtube trending data python https img shields io badge python blue spark https img shields io badge spark 3 1 2 yellow this project is completed in 2 weeks as a opportunity to learn building a data pipeline using amazon cloud service and using spark nlp librabry to do data cleasing and create a meaningful wordcloud in this project i use data source from https www kaggle com rsrishav youtube trending video dataset the data source provide dataset of data on daily trending youtube videos in different region from in us gb de ca fr ru br mx kr and jp i have built a data pipeline that will transform the dataset into readable diagram and word cloud for analysis below are some example of graph generated data of july 2021 jan 2022 gb word cloud gb wordcloud output gb wordcloud png us word cloud us wordcloud output us wordcloud png gb most trending category base on number of trending video gb trending output gb most trending category png us most trending category base on number of trending video us trending output us most trending category png pipeline i built a pipeline that use aws lambda to preprocess the input csv store it in s3 and later process the data with spark and python for plotting and analysis pipeline image aws pipeline png 1 file upload to s3 bucket in this case hytsaibucket raw 2 lambda function triggered which start to clean and extract the useful data and put it in csv format 3 the processed csv file is put in s3 bucket hytsaibucket processed and the raw data is deleted 4 the csv is transferred to aws ec2 and spark session processed 5 plotting and tracking price trends by matplotlib how it works 1 s3 set up a s3 bucket in this case s3 hytsaibucket and two folder for storing input and output raw and processed 2 aws lamda set up a lambda function with the script in lambda folder set the timeout limit to 5 mins and memory to at least 1024mb 3 set up a ec2 instance use anaconda to set up a environment to run pyspark other dependent library can be found in bottom of this page after downloading pyspark set up environment variable export spark home path of your spark folder export pythonpath spark home python lib py4j 0 10 7 src zip pythonpath export pythonpath spark home python spark home python build pythonpath if you are running it locally you will also need to set up hadoop home and download wintils exe for more detail read this https sparkbyexamples com spark spark hadoop exception in thread main java lang unsatisfiedlinkerror org apache hadoop io nativeio nativeiowindows access0ljava lang stringiz 6 after setting up your ec2 instance with all dependcies create a new folder put data python and output folder in it 7 use aws cli to transfer processed file from s3 and related category id json then execute bar chart generation py then word cloud generation in python folder languages python 3 9 technologies spark aws lambda aws s3 aws ec2 third party libraries aws cli matplotlib findspark seaborn spark nlp aws data wrangler pandas environment setup for lambda function it is important to use a layer so to allow we use aws data wrangler and pandas to process the file stored in s3 bucket you can download it in their github release page pack it and uplaod it as a layer https github com awslabs aws data wrangler releases install and configure base on aws https aws amazon com cli check if you have java 8 java 11 installed required by spark nlp if using conda conda create n youtube python 3 9 y conda activate youtube pip install spark nlp 3 4 0 pyspark 3 1 2 matplotlib findspark seaborn else pip install spark nlp 3 4 0 pyspark 3 1 2 matplotlib findspark seaborn remember to set path variable when running spark locally export spark home path of your spark folder export pythonpath spark home python lib py4j 0 10 7 src zip pythonpath export pythonpath spark home python spark home python build pythonpath you will also need to set up hadoop home and download wintils exe for more detail read this https sparkbyexamples com spark spark hadoop exception in thread main java lang unsatisfiedlinkerror org apache hadoop io nativeio nativeiowindows access0ljava lang stringiz | spark python aws awslambda ec2 pyspark dataengineering | cloud |
food-info | large language and vision model for food detection and nutritional estimation combines the power of language and vision processing for food detection and nutritional estimation with the help of llava https llava vl github io it takes an image of food and optional textual hints as input and generates a comprehensive menu name description and nutritional information the estimations are not realiable and the model halluciates a lot just for fun alt text 1 assets out waffle png alt text 1 assets out pizza png features language integration by providing optional textual hints about the food image users can guide the model s predictions ensuring even more precise results menu generation goes beyond basic food identification it creates descriptive menu names and descriptions nutritional estimation estimate the nutritional content of the identified foods this includes calorie count macronutrient distribution and other relevant dietary details user friendly interface the user interface is designed to be intuitive and easy to navigate allowing users to upload images provide hints and receive detailed food information effortlessly lightning apps getting started prerequisites python 3 7 or higher torch tested 2 0 torchvision 7875mib vram 4bit installation git clone https github com luca medeiros food info cd food info pip install r requirements txt usage to run the lightning ai app lightning run app app py acknowledgments this project is based on the following repositories llava https llava vl github io lightning ai https github com lightning ai lightning https github com luca medeiros food info license license this project is licensed under the apache 2 0 license | ai |
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Challenge | challenge cloud engineering stage 0 prakash kumar malakar azure | cloud |
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Database-Management | database management project developed during master s in computer science and engineering for the subject data management in information systems project was developed using the tools microsoft sql server and database engine tuning advisor the goal of this project was to assess and manipulate different information in the main database while optmizing the execution plans in sql server by creating proper indexes statistics and materialized views exploring the theory behing these optimizations | server |
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Web-Development-Course | web development course public repository for web development course for beginners | front_end |
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money-legos | money legos circleci https badgen net circleci github studydefi money legos https app circleci com pipelines github studydefi money legos npm https badgen net npm v studydefi money legos https www npmjs com package studydefi money legos types https badgen net npm types studydefi money legos minzip https badgen net bundlephobia minzip studydefi money legos legos autocomplete assets legos autocomplete gif get abis addresses and solidity interfaces to popular defi protocols now with typescript powered autocomplete money legos is an npm package that provides you with the mainnet addresses abis and solidity interfaces for popular defi protocols click here https money legos studydefi com for docs and visit our discord here https discord gg rbr3u32 protocols supported aave compound curve finance dappsys dydx erc20 idle v3 kyber network makerdao onesplit uma protocol uniswap v1 synthetix balancer mstable uniswap v2 importing specific protocols is also supported img src assets weight png alt size width 540 install bash npm install studydefi money legos usage javascript javascript import legos from studydefi money legos access abis and addresses legos erc20 abi legos erc20 dai address of many popular defi protocols legos uniswap factory abi legos uniswap factory address import only the protocol you are interested in import uniswap from studydefi money legos uniswap uniswap factory abi uniswap factory address solidity solidity pragma solidity 0 5 0 import studydefi money legos onesplit contracts ionesplit sol import openzeppelin contracts token erc20 ierc20 sol contract onesplitswapper uniswap mainnet factory address address constant onesplitaddress 0xc586bef4a0992c495cf22e1aeee4e446cecdee0e function swap address from address to uint256 amountwei internal ierc20 fromierc20 ierc20 from ierc20 toierc20 ierc20 to uint256 returnamount uint256 memory distribution ionesplit onesplitaddress getexpectedreturn fromierc20 toierc20 amountwei 10 0 ionesplit onesplitaddress swap fromierc20 toierc20 amountwei returnamount distribution 0 | ethereum money-legos defi blockchain | blockchain |
turbo-tribble | turbo tribble the unexamined life is not worth living socrates | front_end |
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CoogleIOT | coogleiot a esp8266 library for easy iot device development the coogleiot library was created to make building iot devices on the esp8266 microcontroller easier by providing a solid encapsulated framework for most of the common things you want to do on an iot device including captive portal for configuration of the device allowing you to configure the ap name the wifi client and the built in mqtt client just connect to the ap and configure mobile friendly built in persistent logging mechanisms using spiffs filesystem also available for viewing from the web interface built in mqtt client provided by pubsubclient built in ui libraries for the device mini css for style jquery 3 x for javascript that can be served from the ap using the css or jquery urls built in ntp client for access to local date time on device built in dns server during configuration for captive portal support when connected to the device as an ap directly built in security minded tools like html escaping and other filters to prevent malicious inputs built in ota firmware update support can both upload a new firmware from the ui or pull a new one down from a server built in timer allows you to create very clean timings for measurements et c i e read sensor every x minutes screenshots wifi configuration wifi configuration https raw github com coogle coogleiot master screenshots wifi screen png mqtt client configuration mqtt configuration https raw github com coogle coogleiot master screenshots mqtt screen png system configuration system configuration https raw github com coogle coogleiot master screenshots system screen png status page status page https raw github com coogle coogleiot master screenshots status screen png example coogleiot is designed to hang out in the background so your sketches are focused on the things you actually want to work on without having to worry about things like wifi or mqtt clients here is an example of using it to control a garage door w open and close sensors garagedoor opener h ifndef garagedoor opener h define garagedoor opener h define serial baud 115200 define open sensor pin 2 the pin that detects when the door is closed define close sensor pin 5 the pin that detects when the door is open define open swtich pin 14 the pin that activates the open close door action define light switch pin 4 the pin that turns the light on off define garage door status topic status garage door define garage door action topic door garage door door define garage door action topic light garage door light define garage door mqtt client id garage door include arduino h typedef enum gd open gd closed gd opening gd closing gd unknown garagedoorstate endif include coogleiot h include garagedoor opener h coogleiot iot pubsubclient mqtt garagedoorstate currentstate gd unknown string getdoorstateasstring garagedoorstate state switch state case gd open return string open case gd closed return string closed case gd opening return string opening case gd closing return string closing case gd unknown return string unknown iot warn garage door state value unknown return string unknown garagedoorstate getgaragedoorstate bool isclosed isopen garagedoorstate retval gd unknown isopen digitalread open sensor pin low isclosed digitalread close sensor pin low if isopen isclosed iot error can t be both open and closed at the same time sensor failure retval gd unknown return retval if isopen isclosed retval gd closed return retval if isopen isclosed retval gd open return retval if isopen isclosed if currentstate gd open currentstate gd closing retval gd closing return retval if currentstate gd closed currentstate gd opening retval gd opening return retval retval gd unknown return retval void triggerdoor iot info triggering garage door open digitalwrite open swtich pin low delay 200 digitalwrite open swtich pin high void triggerlight iot info triggering garage door light digitalwrite light switch pin low delay 200 digitalwrite light switch pin high void setup iot new coogleiot led builtin iot enableserial serial baud setmqttclientid garage door mqtt client id initialize pinmode open swtich pin output pinmode light switch pin output pinmode open sensor pin input pullup pinmode close sensor pin input pullup digitalwrite open swtich pin high digitalwrite light switch pin high if iot mqttactive mqtt iot getmqttclient mqtt setcallback mqttcallbackhandler iot logprintf info subscribed to door open topic s garage door action topic door iot logprintf info subscribed to light activate topic s garage door action topic light mqtt subscribe garage door action topic door mqtt subscribe garage door action topic light mqtt publish garage door status topic getdoorstateasstring currentstate c str true iot info garage door opener initialized else iot error mqtt not initialized garage door opener inactive void loop garagedoorstate livestate iot loop if iot mqttactive livestate getgaragedoorstate if livestate currentstate mqtt publish garage door status topic getdoorstateasstring livestate c str true currentstate livestate void mqttcallbackhandler char topic byte payload unsigned int length string action char payloadstr if strcmp topic garage door action topic door 0 iot info handling garage door action request iot flashstatus 200 1 triggerdoor else if strcmp topic garage door action topic light 0 iot info handing garage door light request iot flashstatus 200 2 triggerlight there are other projects that use this library which serve as great examples of it s use as well you should probably check out these coogle switch https github com thissmarthouse coogle switch a coogleiot powered esp8266 sketch for creating smart switches that operate over mqtt controlling a relay module of configured sized just set up which pins your relay operates on and it takes care of all the mqtt topics etc you need for it to work where s my device when mqtt is enabled coogleiot automatically sends a periodic heartbeat message to coogleiot devices client id containing a json payload with useful information timestamp 2017 10 27 05 27 13 ip 192 168 1 130 coogleiot version 1 2 1 client id bbq temp probe if running multiple coogleiot devices this can be very useful to keep track of them all by just subscribing to the coogleiot devices wildcard channel which will capture all the heartbeat transmissions mqtt client notes presently due to this issue https github com knolleary pubsubclient issues 110 in the mqtt client used by coogleiot it is important that you compile your sketches using the mqtt max packet size flag set to a reasonable value we recommend 512 without this flag larger mqtt packets i e long topic names will not be sent properly please consult your build envrionment s documentation on how to set this compile time variable hint dmqtt max packet size 512 works api coogleiot is an evolving code base so this api may change before this document is updated to reflect that the best source is the source when possible coogleiot uses a fluent interface allowing you to chain method calls together chaining method calls together iot enableserial 115200 initialize void coogleiot coogleiot status led pin null the library constructor you may provide an optional pin to use for a status led which will be used to indicate different states the device can be in i e wifi initializing etc bool coogleiot initialize must be called in setup of your sketch to initialize the library and it s components void coogleiot loop must be called in loop of your sketch coogleiot coogleiot enableserial int baud 115200 enables serial output from the iot library will initialize the serial object for you at the baud rate specified if not already initialized pubsubclient coogleiot getmqttclient return a pointer to the built in pubsubclient to use in your sketch bool coogleiot serialenabled returns true if serial is enabled coogleiot coogleiot flashstatus speed in ms repeat 5 flashes the defined pin led at a speed repeating as defined 5 times by default coogleiot coogleiot flashsos flashes the status pin led in an sos pattern useful to indicate an error coogleiot coogleiot reseteeprom resets the eeprom memory used by coogleiot to null effectively factory resetting the device void coogleiot restartdevice restarts the device due to this bug https github com esp8266 arduino issues 1722 you must physically press the restart button on the esp8266 after flashing via serial if you fail to do that this command will hang the device string coogleiot filterascii filters the provided string of anything that is not a printable ascii character bool coogleiot verifyflashconfiguration verifies the flash configuration for the device what the device supports vs what the device is set as in your sketch is correct coogleiot coogleiot syncntptime int offsetseconds int daylightoffsetseconds synchronizes and sets the local device date time based on ntp servers must have a working wifi connection to use this method the first parameter is the number of seconds local time is offset from utc time i e 5 hrs in seconds is america new york the second parameter is the number of seconds to offset based on daylight savings string coogleiot getwifistatus returns a string representing the current state of the wifi client bool coogleiot mqttactive returns true false indicating if the mqtt client is active and ready to use or not bool coogleiot dnsactive returns true false if the integrated captive portal dns is enabled or not bool coogleiot ntpactive returns true false if the ntp client is online and synchronizing with ntp time servers bool coogleiot firmwareclientactive returns true false if the periodic firmware client that will download a new firmware from a web server is active or not if active the firmware client will check every 30 minutes for a new firmware at the configured url bool coogleiot apstatus returns true false if the ap of the device is active or not coogleiot coogleiot registertimer int interval callback create a callback timer that will call callback void function with no params every interval milliseconds you can turn off the timer by passing 0 as the interval useful for taking a sensor reading every x seconds etc void coogleiot checkforfirmwareupdate performs a check against the specified firmware server endpoint for a new version of this device s firmware if a new version exists it performs the upgrade the following getters setters are pretty self explainatory each getter will return a string object of the value from eeprom or another primiative data type with a matching setter string coogleiot getremoteapname coogleiot coogleiot setremoteapname string string coogleiot getremoteappassword coogleiot coogleiot setremoteappassword string string coogleiot getmqtthostname coogleiot coogleiot setmqtthostname string string coogleiot getmqttusername coogleiot coogleiot setmqttusername string string coogleiot getmqttpassword coogleiot coogleiot setmqttpassword string string coogleiot getmqttclientid coogleiot coogleiot setmqttclientid int coogleiot getmqttport coogleiot coogleiot setmqttport int string coogleiot getapname coogleiot coogleiot setapname string string coogleiot getappassword coogleiot coogleiot setappassword string string coogleiot getfirmwareupdateurl coogleiot coogleiot setfirmwareupdateurl string coogleiot firmware configuration the firmware default values and settings are defined in the coogleiotconfig h file and can be overriden by providing new define statements define coogleiot status init 500 defines the status led flash speed in ms for initial initialization define coogleiot status wifi init 250 defines the status led flash speed for wifi initialization define coogleiot status mqtt init 100 defines the status led flash speed for mqtt initialization define coogleiot ap coogleiot defines the prepended string used for the default ap name the remainder of the ap name will be a randomly generated number i e coogleiot 234934 define coogleiot ap default password coogleiot the default ap password define coogleiot default mqtt client id coogleiot the default mqtt client id define coogleiot default mqtt port 1883 the default mqtt port define coogleiot timezone offset 3600 5 1 the default ntp timezone offset america new york define coogleiot daylight offset 0 the default ntp daylight offset define coogleiot ntp server 1 pool ntp org define coogleiot ntp server 2 time nist gov define coogleiot ntp server 3 time google com the three default ntp servers to attempt to synchronize with define coogleiot firmware update check ms 54000000 15 minutes in milliseconds the frequency that we will check for a new firmware update if the server is configured defaults to 15 minutes define coogleiot dns port 53 the default dns port define coogle eeprom eeprom size 1024 the amount of eeprom memory allocated to coogleiot 1kb default important note do not reduce this value below it s default value unless you really know what you are doing otherwise you will break the firmware define coogleiot webserver port 80 the default webserver port for the configuration system define coogleiot debug if defined it will enable debugging mode for coogleiot which will dump lots of debugging data to the serial port if enabled | esp8266 arduino-library esp8266-arduino mqtt-client mqtt | server |
Awesome-KGLLM | awesome kgllm a collection of papers and resources about knowledge graph enhanced large language models kgllm recently chatgpt a representative large language model llm has gained considerable attention due to its powerful emergent abilities some researchers suggest that llms could potentially replace structured knowledge bases like knowledge graphs kgs and function as parameterized knowledge bases however while llms are proficient at learning probabilistic language patterns based on large corpus and engaging in conversations with humans they like previous smaller pre trained language models plms still have difficulty in recalling facts while generating knowledge grounded contents to overcome these limitations researchers have proposed enhancing data driven plms with knowledge based kgs to incorporate explicit factual knowledge into plms thus improving their performance to generate texts requiring factual knowledge and providing more informed responses to user queries therefore we review the studies on enhancing plms with kgs detailing existing knowledge graph enhanced pre trained language models kgplms as well as their applications inspired by existing studies on kgplm we propose to enhance llms with kgs by developing knowledge graph enhanced large language models kgllms kgllm provides a solution to enhance llms factual reasoning ability opening up new avenues for llm research the organization of these papers refers to our survey chatgpt is not enough enhancing large language models with knowledge graphs for fact aware language modeling https arxiv org abs 2306 11489 please let us know if you find any mistakes or have any suggestions by email yangly zhejianglab com if you find our survey useful for your research please cite the following paper bash article kgllm title chatgpt is not enough enhancing large language models with knowledge graphs for fact aware language modeling author yang linyao and chen hongyang and li zhao and ding xiao and wu xindong journal arxiv preprint arxiv 2306 11489 year 2023 overview in this repository we collect recent advances in knowledge graph enhanced large language models according to the stage at which kgs participate in pre training existing methods can be categorized into before training enhancement during training enhancement and post training enhancement methods img src figs kgplm framework png width 800 table of contents awesome kgllm awesome kgllm overview overview before training enhancement kgplms before training enhancement kgplms expand input structures expand input structures enrich input information enrich input information generate new data generate new data optimize word masks optimize word masks during training enhancement kgplms during training enhancement kgplms incorporate knowledge encoders incorporate knowledge encoders insert knowledge encoding layers insert knowledge encoding layers add independent adapters add independent adapters modify pre training task modify pre training task post training enhancement kgplms post training enhancement kgplms fine tune plms with knowledge fine tune plms with knowledge generate knowledge based prompts generate knowledge based prompts before training enhancement kgplms expand input structures k bert enabling language representation with knowledge graph aaai 2020 paper https ojs aaai org index php aaai article view 5681 5537 colake contextualized language and knowledge embedding coling 2020 paper https aclanthology org 2020 coling main 327 cn hit it nlp at semeval 2020 task 4 enhanced language representation with multiple knowledge triples semeval 2020 paper https aclanthology org 2020 semeval 1 60 enrich input information luke deep contextualized entity representations with entity aware self attention emnlp 2020 paper https aclanthology org 2020 emnlp main 523 e bert efficient yet effective entity embeddings for bert emnlp 2020 paper https aclanthology org 2020 findings emnlp 71 knowledge aware language model pretraining paper https arxiv org abs 2007 00655 oag bert towards a unified backbone language model for academic knowledge services kdd 2022 paper https dl acm org doi abs 10 1145 3534678 3539210 dkplm decomposable knowledge enhanced pre trained language model for natural language understanding aaai 2022 paper https ojs aaai org index php aaai article view 21425 21174 generate new data align mask and select a simple method for incorporating commonsense knowledge into language representation models paper https arxiv org abs 1908 06725 kgpt knowledge grounded pre training for data to text generation emnlp 2020 paper https aclanthology org 2020 emnlp main 697 barack s wife hillary using knowledge graphs for fact aware language modeling acl 2019 paper https aclanthology org p19 1598 pdf atomic an atlas of machine commonsense for if then reasoning aaai 2019 paper https ojs aaai org index php aaai article view 4160 4038 kepler a unified model for knowledge embedding and pre trained language representation tacl 2021 paper https aclanthology org 2021 tacl 1 11 pdf optimize word masks ernie enhanced language representation with informative entities acl 2019 paper https aclanthology org p19 1139 pretrained encyclopedia weakly supervised knowledge pretrained language model paper https arxiv org abs 1912 09637 exploiting structured knowledge in text via graph guided representation learning emnlp 2020 paper https aclanthology org 2020 emnlp main 722 pdf during training enhancement kgplms incorporate knowledge encoders ernie enhanced language representation with informative entities acl 2019 paper https aclanthology org p19 1139 ernie 3 0 large scale knowledge enhanced pre training for language understanding and generation paper https arxiv org abs 2107 02137 bert mk integrating graph contextualized knowledge into pre trained language models ai open 2021 paper https www sciencedirect com science article pii s2666651021000188 jointlk joint reasoning with language models and knowledge graphs for commonsense question answering naacl 2022 paper https aclanthology org 2022 naacl main 372 knowledge enriched transformer for emotion detection in textual conversations emnlp ijcnlp 2019 paper https aclanthology org d19 1016 relational memory augmented language models tacl 2022 paper https aclanthology org 2022 tacl 1 32 qa gnn reasoning with language models and knowledge graphs for question answering naacl 2021 paper https aclanthology org 2021 naacl main 45 greaselm graph reasoning enhanced language models for question answering paper https arxiv org abs 2201 08860 klmo knowledge graph enhanced pretrained language model with fine grained relationships emnlp 2021 paper https aclanthology org 2021 findings emnlp 384 pdf insert knowledge encoding layers k bert enabling language representation with knowledge graph aaai 2020 paper https ojs aaai org index php aaai article view 5681 5537 colake contextualized language and knowledge embedding coling 2020 paper https aclanthology org 2020 coling main 327 knowledge enhanced contextual word representations emnlp ijcnlp 2019 paper https aclanthology org d19 1005 jaket joint pre training of knowledge graph and language understanding aaai 2022 paper https ojs aaai org index php aaai article view 21417 21166 kg bart knowledge graph augmented bart for generative commonsense reasoning aaai 2021 paper https ojs aaai org index php aaai article view 16796 16603 add independent adapters k adapter infusing knowledge into pre trained models with adapters acl ijcnlp 2021 paper https aclanthology org 2021 findings acl 121 pdf common sense or world knowledge investigating adapter based knowledge injection into pretrained transformers deelio 2020 paper https aclanthology org 2020 deelio 1 5 parameter efficient domain knowledge integration from multiple sources for biomedical pre trained language models emnlp 2021 paper https aclanthology org 2021 findings emnlp 325 commonsense knowledge graph based adapter for aspect level sentiment classification neurocomputing 2023 paper https www sciencedirect com science article pii s0925231223002229 modify pre training task sensebert driving some sense into bert acl 2020 paper https aclanthology org 2020 acl main 423 ernie enhanced language representation with informative entities acl 2019 paper https aclanthology org p19 1139 luke deep contextualized entity representations with entity aware self attention emnlp 2020 paper https aclanthology org 2020 emnlp main 523 oag bert towards a unified backbone language model for academic knowledge services kdd 2022 paper https dl acm org doi abs 10 1145 3534678 3539210 pretrained encyclopedia weakly supervised knowledge pretrained language model paper https arxiv org abs 1912 09637 exploiting structured knowledge in text via graph guided representation learning emnlp 2020 paper https aclanthology org 2020 emnlp main 722 pdf erica improving entity and relation understanding for pre trained language models via contrastive learning acl ijcnlp 2021 paper https aclanthology org 2021 acl long 260 sentilare sentiment aware language representation learning with linguistic knowledge emnlp 2020 paper https aclanthology org 2020 emnlp main 567 post training enhancement kgplms fine tune plms with knowledge kala knowledge augmented language model adaptation naacl 2022 paper https aclanthology org 2022 naacl main 379 pre trained language models with domain knowledge for biomedical extractive summarization knowledge based systems 2022 paper https www sciencedirect com science article pii s0950705122007328 kagnet knowledge aware graph networks for commonsense reasoning emnlp ijcnlp 2019 paper https aclanthology org d19 1282 enriching contextualized language model from knowledge graph for biomedical information extraction briefings in bioinformatics 2021 paper https academic oup com bib article 22 3 bbaa110 5854405 incorporating commonsense knowledge graph in pretrained models for social commonsense tasks deelio 2020 paper https aclanthology org 2020 deelio 1 9 generate knowledge based prompts benchmarking knowledge enhanced commonsense question answering via knowledge to text transformation aaai 2021 paper https ojs aaai org index php aaai article view 17490 17297 enhanced story comprehension for large language models through dynamic document based knowledge graphs aaai 2022 paper https ojs aaai org index php aaai article view 21286 knowledge prompting in pre trained language model for natural language understanding emnlp 2022 paper https aclanthology org 2022 emnlp main 207 pdf | ai |
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NepaliNLPWebApp | nepalinlpwebapp update the active coding of this is done in private in bitbucket when i release the project i do intend to make it public if you are interested in the project contact me the web app used for nepali language natural language processing work in progress b leisure time project b b what is in this app b br a lot but here are few things worth mentioning 1 tool to crawl websites and extract content from the website 2 preeti to unicode java tool 3 devanagari to iso standard romanization 4 nepali stemmer given a word find the root 5 nepali corpus formation tools 6 sentence tokenizer for nepali text 7 sentence and word clenser for nepali text 8 a web app that allows me to manually validate the words word roots sentences romanization and classify both sentences as well as words b what am i trying to do b br 1 apply deep learning machine learning and artificial intelligence to nepali text 2 sentiment analysis for nepali text 3 autosummarizer for nepali text 4 data mining e g from twitter and facebook 5 nepali parts of speech tagging pos 6 nepali shabdakosh in unicode 7 word cloud generation for nepali text 8 1 billion nepali high quality nepali sentences high ambition achievable 9 automated bots chats recommendations etc in nepali language if you didn t know bots are new things replacing apps 10 simple question answer web machine generated question answer based on data fed e g who is the current prime minister of nepal xyz chatbot could be used instead of apps for example you type in questions to a chat bot they will answer you 11 nepali text to speech 12 nepali speech recognition and speech to text b what do i have that is not on the github b br a database of 1 more than 200 000 webpages having nepali text text already extracted 2 more than 600 000 words nepali corpus 3 more than 2 millions of nepali sentences 4 a mind of a genius b can you help me b br of course that s why i am leaving all my work at github open source feel free to ask me how you can volunteer b where am i located b br i am currently living working breathing and raising a kid in des moines iowa b how to contact me b i am available at linkedin you can contact me via there https www linkedin com in kushalp | ai |
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cds7-lab | sarang maurya | os |
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ContentManagement | contentmanagement applying the software engineering database and object oriented design skills i ve been learning in school into one project | server |
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ChaosEngineering | chaosengineering for running the tools with your aws application please follow the steps below create an s3 bucket for storing the config files a chaos monkey create a new aws lambda function remove any default existing files and upload the code file for this tool attach the following policies to its iam role 1 awslambdabasicexecutionrole 2 s3 access version 2012 10 17 statement effect allow action s3 listbucket resource arn aws s3 config bucket effect allow action s3 putobject s3 getobject s3 deleteobject resource arn aws s3 config bucket 3 ecs control version 2012 10 17 statement effect allow action ecs ecs updatecontainerinstancesstate resource arn aws ecs ap south 1 773591337265 cluster chaostest finally create a cron job which triggers this every 1 min b security monkey create a new aws lambda function remove any default existing files and upload the code file for this tool attach the following policies to its iam role 1 awslambdabasicexecutionrole 2 s3 access same as defined above 3 sg policy version 2012 10 17 statement effect allow action logs createloggroup logs createlogstream logs putlogevents resource arn aws logs effect allow action ec2 authorizesecuritygroupegress ec2 authorizesecuritygroupingress ec2 deletesecuritygroup ec2 revokesecuritygroupegress ec2 revokesecuritygroupingress resource arn aws ec2 security group action ec2 describesecuritygroups ec2 describesecuritygroupreferences ec2 describestalesecuritygroups ec2 describevpcs effect allow resource | cloud |
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sql-challenge | employee database a mystery in two parts sql https process fs teachablecdn com adnupmnwyr7kcwrvm76laz resize width 705 https www filepicker io api file rl4kfbu1smicielatwx3 challenge instructions this project utilizes data engineering and data analysis to build a sql database of employees of a corporation called pewlett hackard from the 1980s and 1990s there are six csv files holding the data of employees the sql tables were designed and the data in the csvs were successfully imported into a sql database data engineering inspect the csvs and sketch out an erd of the tables the quickdbd https www quickdatabasediagrams com was used in this project use the information from erd to create a table schema for each of the six csv files and specify data types primary keys foreign keys and other constraints for the primary keys check to see if the column is unique otherwise create a composite key https en wikipedia org wiki compound key which takes two primary keys in order to uniquely identify a row be sure to create tables in the correct order to handle foreign keys p align center img src https github com jiuhe2020 sql challenge blob master employeesql employee erd png height 75 width 75 p import each csv file into the corresponding sql table and make sure to import the data in the same order that the tables were created data analysis list the following details of each employee employee number last name first name sex and salary list first name last name and hire date for employees who were hired in 1986 list the manager of each department with the following information department number department name the manager s employee number last name first name list the department of each employee with the following information employee number last name first name and department name list first name last name and sex for employees whose first name is hercules and last names begin with b list all employees in the sales department including their employee number last name first name and department name list all employees in the sales and development departments including their employee number last name first name and department name in descending order list the frequency count of employee last names i e how many employees share each last name bonus a visualization of the data was generated by taking the following steps import the sql database into pandas use the code below to get started python from sqlalchemy import create engine engine create engine postgresql localhost 5432 your db name connection engine connect create a histogram to visualize the most common salary ranges for employees p align center img src https github com jiuhe2020 sql challenge blob master images bonushistogram png height 75 width 75 p create a bar chart of average salary by title p align center img src https github com jiuhe2020 sql challenge blob master images bonusbarchart png height 75 width 75 p list of content 1 employee erd png an image file of the erd 2 employee schema sql a sql file of the table schemata 3 employee query sql a sql file of the queries 4 employee ipynb a jupyter notebook of the bonus analysis copyright jiuhe zhu 2020 all rights reserved | sql pandas erd | server |
enterprise | infor design system s enterprise components license https img shields io badge license apache 202 0 blue svg https opensource org licenses apache 2 0 npm version https badge fury io js ids enterprise svg https badge fury io js ids enterprise build check https github com infor design enterprise workflows build 20check badge svg infor design system s enterprise component library also known as soho components is a framework independent ui library consisting of css and js that provides infor product development teams partners and customers the tools to create user experiences that are approachable focused relevant and perceptive for guidelines on when and where to use the components see the design infor com http design infor com key features multiple themes including a wcag 2 0 aaa compatible high contrast theme responsive components patterns and layouts touch friendly interactions svg based iconography compatible with high dpi screens built in extendible localization system built in mitigation of xss exploits 140 components browser support we support the latest release and the release previous to the latest r 1 for browsers and os versions markdownlint disable md013 md033 img src https raw githubusercontent com alrra browser logos master src edge edge 48x48 png alt ie edge width 24px height 24px http godban github io browsers support badges br ie edge img src https raw githubusercontent com alrra browser logos master src firefox firefox 48x48 png alt firefox width 24px height 24px http godban github io browsers support badges br firefox img src https raw githubusercontent com alrra browser logos master src chrome chrome 48x48 png alt chrome width 24px height 24px http godban github io browsers support badges br chrome img src https raw githubusercontent com alrra browser logos master src safari safari 48x48 png alt safari width 24px height 24px http godban github io browsers support badges br safari img src https raw githubusercontent com alrra browser logos master src safari ios safari ios 48x48 png alt ios safari width 24px height 24px http godban github io browsers support badges br ios safari r 1 r 1 r 1 r 1 r 1 markdownlint enable md013 md033 installation sh npm install save ids enterprise latest for additional usage methods see installing ids docs developer md installing ids into your project documentation latest release component web documentation https design infor com code ids enterprise latest change log docs changelog md includes latest release changes contribution markdownlint disable md033 span nbsp nbsp please use github issues https github com infor design enterprise issues to report all requests bugs questions and feature requests span markdownlint restore contribution guidelines docs contributing md developer guide docs developer md review source code changes https github com infor design enterprise pulls releases previous and upcoming https github com infor design enterprise releases microsoft teams group https teams microsoft com l team 19 3a2b0c9ce520b0481a9ce115f0ca4a326f 40thread skype conversations groupid 4f50ef7d e88d 4ccb 98ca 65f26e57fe35 tenantid 457d5685 0467 4d05 b23b 8f817adda47c infor employees only roadmap and sprint board https github com orgs infor design projects | infor enterprise-components javascript-library enterprise | os |
ml-design-patterns | this is not an official google product ml design patterns source code accompanying o reilly book br title machine learning design patterns br authors valliappa lak lakshmanan sara robinson michael munn br img src mldp cover color jpg height 300 https www oreilly com library view machine learning design 9781098115777 img br a href https shop aer io oreilly p machine learning design 9781098115784 9149 buy from o reilly a br a href https www amazon com machine learning design patterns preparation dp 1098115783 buy from amazon a br we will update this repo with source code as we write each chapter stay tuned img src https deepnote com buttons try in a jupyter notebook white svg https deepnote com launch url https github com googlecloudplatform ml design patterns chapters preface the need for ml design patterns data representation design patterns 1 hashed feature 2 embedding 3 feature cross 4 multimodal input problem representation design patterns 5 reframing 6 multilabel 7 ensemble 8 cascade 9 neutral class 10 rebalancing patterns that modify model training 11 useful overfitting 12 checkpoints 13 transfer learning 14 distribution strategy 15 hyperparameter tuning resilience patterns 16 stateless serving function 17 batch serving 18 continuous model evaluation 19 two phase predictions 20 keyed predictions reproducibility patterns 21 transform 22 repeatable sampling 23 bridged schema 24 windowed inference 25 workflow pipeline 26 feature store 27 model versioning responsible ai 28 heuristic benchmark 29 explainable predictions 30 fairness lens summary | ai |
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x-cube-azrtos-g0 | x cube azrtos g0 azure rtos software expansion for stm32cube latest tag https img shields io github v tag stmicroelectronics x cube azrtos g0 svg color brightgreen with azure rtos complementing the extensive stm32cube ecosystem providing free development tools software bricks and software expansion packages stm32 users can also leverage the rich services of azure rtos which meet the needs of tiny smart connected devices x cube azrtos g0 azure rtos software expansion for stm32cube provides a full integration of microsoft azure rtos in the stm32cube environment for the stm32g0 series of microcontrollers ready to run applicative examples are also provided for the nucleo g0b1re and stm32g0c1e ev evaluation boards thus reducing the learning curve and ensuring a smooth application development experience with azure rtos and stm32g0 mcus the scope of this package covers the following azure rtos middleware rtos threadx usb device and host usbx file system including nor nand memories support filex and levelx and networking netxduo htmresc overviewazurertos in stm32cube png azure rtos is a professional grade highly reliable and market proven middleware suite integrated and full featured rtos learn more threadx https aka ms threadx industrial grade networking stack optimized for performance coming with many iot protocols learn more netx duo https aka ms netxduo advanced fs ftl fully featured to support nand nor flash memories learn more filex https aka ms filex and levelx https docs microsoft com en us azure rtos levelx usb host and device stacks coming with multiple classes learn more usbx https aka ms usbx safety pre certifications from microsoft iec 61508 sil4 iec 62304 class c and iso 26262 asil d security pre certifications from microsoft eal4 for tls dtls fips 140 2 for sw crypto lib stm32 granted production license here https github com azure rtos threadx blob master licensed hardware txt prerequisites usbx filex and netxduo building require threadx as they are based on rtos model usbx host msc requires filex middleware usage usbx device ecm rndis classes require netxduo usage one of the following toolchains iar embedded workbench for arm ewarm toolchain 8 50 9 st linkv3 stm32cubeide v1 9 0 https www st com en development tools stm32cubeide html st linkv3 realview microcontroller development kit mdk arm toolchain v5 32 st linkv3 supported devices and boards by applications nucleo g0b1re https www st com en evaluation tools nucleo g0b1re html mb1360 c02 stm32g0c1e ev https www st com en evaluation tools stm32g0c1e ev html mb1312 a01 repository structure the stmicroelectronics github x cube azrtos repository consists of the following repositories drivers contains stm32g0 cmsis hal and bsp drivers middlewares contains threadx netx duo filex levelx and usbx stacks including porting on stm32 hardware projects provides ready to run applicative examples for azure rtos on the supported boards projects are structured as follows htmresc azurertos projects structure png documentation more comprehensive documentation is available on stm32 mcu wiki https wiki st com stm32mcu wiki stm32coremw overview license azure rtos is distributed by microsoft under github https github com azure rtos and under microsoft license stmicroelectronics include azure rtos in selected stm32cube software packages whether delivered by microsoft under github or by stmicroelectronics through stm32 cubefw packages on www st com or github proprietary license terms are the same between microsoft and user source code is available user is granted modification user is granted redistribution of source modified or not and or binary provided he develops on an mcu mpu that is listed officially by microsoft user is granted production provided he develops on an mcu that is listed officially by microsoft licensed hardware https github com azure rtos threadx blob master licensed hardware txt user is forbidden to reuse provided software to create a competing offer whenever a new stm32 series includes support for azure rtos it is added by microsoft in the official list by using stm32g0 series you inherit the distribution and production use rights in section 2 of the microsoft software license terms for azure rtos for more details about license information relative to each component in this package please refer to license license md release note details about the content of this release are available in the release note here https htmlpreview github io https github com stmicroelectronics x cube azrtos g0 blob main release notes html applications middleware applications short description threadx tx thread creation it demonstrates how to create and destroy multiple threads using azure rtos threadx apis in addition it shows how to use preemption threshold between threads and change priorities on fly readme projects nucleo g0b1re applications threadx tx thread creation readme md threadx tx lowpower it demonstrates how to configure the lowpower feature of azure rtos threadx stack in addition it shows how to use threadx macro related to the lowpower feature readme projects nucleo g0b1re applications threadx tx lowpower readme md threadx tx thread sync it demonstrates how to synchronize between threads using binary semaphores or mutexes readme projects stm32g0c1e ev applications threadx tx thread sync readme md threadx tx thread msgqueue it demonstrates how to exchange message between threads using message queue api and how to handle message from different queues using oddt queue chaining feature readme projects nucleo g0b1re applications threadx tx thread msgqueue readme md usbpd usbpd snk ux device hid cdc acm it demonstrates how to develop a usbpd type c consumer and usb device using azure rtos usbx stack on stm32g0c1e ev board readme projects stm32g0c1e ev applications usbpd usbpd snk ux device hid cdc acm readme md usbpd usbpd src ux host msc it demonstrates how to develop a usbpd type c provider and usb host using azure rtos usbx stack it shows how to develop a usbpd type c provider in the case of an usb host application based on mass storage msc which is able to enumerate and communicates with a removable usb flash disk readme projects stm32g0c1e ev applications usbpd usbpd src ux host msc readme md usbx ux host msc it demonstrates how to develop usb host mass storage msc able to enumerate and communicates with a removable usb flash disk the application is designed to behave as an usb msc host able to operate with an usb flash disk using the bulk only transfer bot and small computer system interface scsi transparent commands combined with a file system azurertos filex readme projects stm32g0c1e ev applications usbx ux host msc readme md usbx ux host hid it demonstrates how to develop usb host human interface hid able to enumerate and communicates with a mouse or a keyboard the application is designed to behave as an usb hid host the code provides required requests to properly enumerate hid devices hid class apis to decode hid reports received from a mouse or a keyboard and display data on uart hyperterminal readme projects stm32g0c1e ev applications usbx ux host hid readme md usbx ux device cdc acm it demonstrates how to develop usb device communication class cdc acm based application the application is designed to emulate an usb to uart bridge following the virtual com port vcp implementation the code provides all required device descriptors framework and associated class descriptor report to build a compliant usb cdc acm device readme projects stm32g0c1e ev applications usbx ux device cdc acm readme md usbx ux device hid it demonstrates how to develop usb device human interface hid mouse based application the application is designed to emulate an usb hid mouse device the code provides all required device descriptors framework and associated class descriptor report to build a compliant usb hid mouse device readme projects stm32g0c1e ev applications usbx ux device hid readme md usbx ux device hid cdc acm it demonstrates how to develop a composite usb device application the application is designed to emulate a usb hid mouse combined with an usb to uart bridge following the virtual com port vcp implementation the code provides all required device descriptors framework and associated class descriptor report to build a compliant composite usb hid and cdc acm device readme projects stm32g0c1e ev applications usbx ux device hid cdc acm readme md filex fx sram file edit standalone it demonstrates how to create a fat file system on the internal sram memory using filex running in standalone mode without threadx readme projects nucleo g0b1re applications filex fx sram file edit standalone readme md troubleshooting caution the issues are strictly limited to submit problems or suggestions related to the software delivered in this repository for any other question related to the product the hardware performance or characteristics the tools the environment you can submit it to the st community on the stm32 mcus related page https community st com s topic 0to0x000000bsqswaw stm32 mcus | threadx stm32g0 filex levelx azure-rtos x-cube netxduo usbx | os |
PyFlask_DL-service | pyflask dl service flask for computer vision prototype link http 54 180 150 154 5000 http 54 180 150 154 5000 function object detection by darkflow with fast yolo v2 neural style transfer setting virtualenv 1 create virtualenv in anaconda cmd conda create n venv flask python 3 7 2 activate virtualenv cmd conda activate venv flask install requirements 1 install flask library cmd venv flask cd pyflask venv flask pyflask pip install r requirements txt flask 1 1 1 pillow 7 0 0 opencv python 4 1 2 30 requests 2 22 0 tensorflow gpu 1 15 0 keras 2 3 1 cython 0 29 14 darkflow 1 0 0 2 install darkflow cmd venv flask pyflask cd flask deep darkflow yolo venv flask pyflask flask deep darkflow yolo pip install start server cmd venv flask pyflask flask deep darkflow yolo cd venv flask pyflask flask deep cd venv flask pyflask python start flask py br main page img src etc index main png convnet page img src etc convnet info png object detection page input img src etc od get png output img src etc od post png neural style transfer input img src etc nst get png output img src etc nst post png | python tensorflow flask cnn object-detection | ai |
STM32_TrafficLight | stm32 trafficlight 2018 fall embedded system design term project | os |
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xtof-devops | xtof devops a collection of scripts code tools etc related to devops and cloud engineering by christoph champ http www christophchamp com other links details summary links to my other websites summary xtof ch http www xtof ch wiki http wiki christophchamp com details | cloud |
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monstereos | monstereos monstereos icon https github com monstereos monstereos raw master logo monster png setup instructions and technical content in the bottom of the page about monstereos was born as an experimental decentralized application in the eos blockchain it is a tamagotchi style game where you keep your pets alive and happy by feeding them providing a pleasant environment and letting them rest by popular demand and adoption from the eos community we have added requested features such as battles and a monster market the project will always be open source because we believe it s a must for a decentralized world and also because we want the project to be building block and code reference for other great games and dapps on the eos blockchain in fact we encourage everyone to browse our code repository and extend modify the game and re publish as you wish the more dapps built for our wonderful eos community the better the game is currently in beta and under constant development and improvement this does not restrict us from implementing profit channels to fund the required resources and team for now the project receives 1 of all the market transfers and we are studying ways of implementing in app purchases avoiding pay to win schemes many crypto world games are based on a gambling scheme these have a place in the market but our goal for monstereos is for folks to just have fun period it s okay to create monsters raise them love them and then exchange them that s why we have a market but we aren t intending monstereos to be second source of income for people besides you will probably love your monsters too much to part with them we love the eos community and we know that we can build a better world together connect with us discord https discord gg gmrdthf twitter https twitter com monstereos medium https medium com monstereos github https github com monstereos telegram https t me joinchat hel9rgyuhrewzsjg2slunq official collaborators shareholders access our dao here https github com monstereos dao name title social info leo ribeiro founder and head of development github http github com leordev twitter https twitter com leordev steemit https steemit com leordev alex rozgo head of gaming engineering github http github com rozgo twitter https twitter com rozgo steemit https steemit com rozgo vertex studio arts gaming studio official website https vertexstudio github io cypherglass sponsor of infrastructure and eos resources official website https cypherglass com twitter https twitter com cypherglassbp youtube https www youtube com channel ucnxofueo5w1do9jgwwddqpq steemit https steemit com cypherglass friedger muffke developer github http github com friedger twitter https twitter com fmdroid steemit https steemit com friedger marcelo mendes developer github http github com marcelormendes twitter https twitter com itsmemarcelorm julien lucca developer github http github com lucca65 twitter https twitter com julienlucca john williamson developer github http github com velua twitter https twitter com velua steemit https steemit com johnwilliamson jenny calpu pr marketing twitter https twitter com topkpop steemit https steemit com topkpop daniel wagner gaming curator medium https medium com tikuzero the project is open to the public and we welcome anyone who would like to collaborate our github repository is there for the community but in order to receive shares of the project and participate in our distribution you must be approved by board members our decentralized autonomous organization is still being defined but you can check out our current proposal here https github com monstereos dao blob master readme md this model is inspired by slicing pie for startup companies and we believe that it s the fairest way to reward collaborators of an open source project we intend to translate our agreement into an eos smart contract and automate the distribution process in the future partnerships large seafaring mammal t shirts buy your shirt here https largeseafaringmammal com products monstereos x lsm myeoskit eos blockchain explorer https www myeoskit com tx monstereosio this is where we link our transactions and explore them monstereos animal jungle version junglenet is the testnet that we consider as our staging environment and guess what they just prepared an animal version of monsters coming out soon if you have any partnership ideas feel free to contact us in our telegram github or email disclaimer this project remains purely experimental software and is not to be considered in any way production ready and has no guarantee of any kind use at your own risk any transferred tokens sent to account name monstereosio will not return any entitlement of any asset investment digital or physical including the sent asset itself any proceeds received from any user transfers are used at the sole control and discretion of the receiver big thanks credits open source is all heart monsters pictures package itch io pipoya free rpg monster pack https pipoya itch io free rpg monster pack sleeping gif credits giphy alabasterpizzo https giphy com stickers zzz snore 51wvieoukkhlgwgmgy arena background credits freebies from craftpix net license here craftpix https craftpix net file licenses setup first of all clone the repo and enter in the root folder of the project git clone https github com monstereos monstereos cd monstereos you will need to install node version 8 yarn and docker chain and backend we structured everything in microservices and it can be automagically initialized by docker don t be afraid of docker a lot of people hear docker and run away but we already did the hard part configuration for you you will just need to install docker in your computer a simple installer that you will press next next next finish lol after you installed docker just run the following commands start docker containers and create postgres database and init chain and monster data setup sh tip before continuing with setup run docker compose logs f to make sure the nodes are running fine p align center img src docs assets setupsh png width 600 p now that you have installed everything you can always start the app with the following command start sh note the postgres password is pass you can change it in docker compose yml open kitematic https docs docker com kitematic userguide a nice ui for docker containers management that comes by default on docker installation and you will see all the containers running or run the command docker compose logs f eosdev this is the local single producer blockchain with basic data ready for development and development of the contracts fullnode this is a node that will simulate your mainnet fullnode that will listen for the blockchain and persist data in mongo with mongodb plugin mongo this is our chain database fed by fullnode postgres this is our database the chain is the source of truth and this is just a cache layer to help our application to query nice and fast reports demux the backend for monstereosio it consists of the following node services using pm2 demux this is the blockchain watcher demux is a tool from block one that allows us to watch the blockchain data through mongodb manage state saving records to database and also any side effects as submit emails notifications external apis etc 3 postgraphile we serve data with graphql out of the box through postgraphile under port 3030 data cleaner updates data about monsters and battle arenas according to our business rules frontend app ui with all these nodes running you can just access it with our frontend app cd services frontend yarn yarn start feel free to build any other apps and or dockerize it we didn t create a docker container for it because we usually build the static files yarn build and serve it on gh pages branch troubleshooting https developers eos io eosio nodeos docs troubleshooting https github com enaqx awesome react debugging react https docs docker com compose reference logs https medium com betz mark ten tips for debugging docker containers cde4da841a1d removing all data flush sh eos dream stack you can build any dapp using the above structure tweak the structure a little bit to satisfy all your needs i e you can change the postgres for other database as mongo or mysql you might not need demux and the backend if your app is very basic allowing the frontend to read directly from the chain change the frontend to whatever framework you want to use as vue or angular not only this but your frontend can be a mobile native app why not notes mongo and postgres data is stored in parent folder of this git repo under monstereos eos data is stored in the docker volume monstereos eosiodevapp to compile the contract you need to use eosio cdt and build it using make to change postgres schema run yarn migrate from console outside docker in folder services demux | blockchain eos-blockchain eos eosio tamagotchi-game pet | blockchain |
Embedded-System-Design | embedded system design 1743079040 https user images githubusercontent com 50949470 111877921 459a7f80 89ae 11eb 9b37 f1da66bf4ecd jpg laboratory exercises on cards with arm fpga and sensors lab1 loop transformations design space exploration lab2 dynamic data type refinement lab3 arm assembly lab4 high level synthesis for fpgas lab5 embedded linux crosscompiling rtos collaborator christos betzelos https github com chrisbetze | fpga arm loop-optimization high-level-synthesis cross-compiler design-space-exploration | os |
etm | english readme zh cn md h1 align center en tan mo h1 div align center license https img shields io badge license mit yellow svg style flat platform https img shields io badge platform ubuntu orange svg style flat http www entanmo com download entanmo ubuntu tar gz platform https img shields io badge platform windows blue svg style flat http www entanmo com download entanmo windows zip div en tan mo is a next generation blockchain based on nash equilibrium and the idea of value transfer its name emerged from entente transaction and mobius the core en tan mo team consists of a remarkable consortium of scholars including prof thomas sargent the leader of the rational expectation revolution and winner of the 2011 nobel prize in economics prof sheldon lee glashow the nobel winning theoretical physicist who proposed the first grand unified theory as well as scholars from california institute of technology the university of maryland and the institut henri poincare who achieved shd completeness by innovatively incorporating game theory in blockchain development en tan mo is a place where scv miners and pareto mining pools support and motivate each other under kantorovich consensus a platform that accommodates various applications and communities in different blockchains and non blockchain systems and a decentralized world where people longing for equality democracy and genuine freedom are entitled to their fair share of stake en tan mo goes beyond a blockchain based platform it is a community that carries the widest variety of applications and hosts the most extensive participants and the one that is built upon solid mathematical framework and guided by profound economic and philosophical thoughts this white book therefore is not sufficient to account for the significance and complexity of en tanmo and merely serves as a brief introduction of the project en tan mo development team is working on producing more papers with respect to en tan mo world philosophy mathematics economics calculation and ecology so as to shed more light on the project for interested readers home page https www entanmo com machine requirements cpu pentium and above memory the minimum is 4g disk the minimum is 50g operating system linux the desktop version of ubuntu18 04 is recommended network fiber optics of 20m and above requirement for graphics card the computing power of pow should be above 160mhash s or be equivalent to 6 rx570 and above view mine revenue you can use the online wallet to view your personal earnings go to http wallet entanmo com and log in to your wallet using the previous beta secret to see the mine revenue | blockchain |
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front-end-interview | p align center a href https github com xiaomuzhu front end interview target blank img src https xiaomuzhu image oss cn beijing aliyuncs com 8e6b34bbdb4f62402b4a4314c69fd861 png width a p p align center a href https www cxymsg com img src https img shields io badge read brightgreen svg alt a a href img src https img shields io badge e5 85 ac e4 bc 97 e5 8f b7 lightgrey svg alt a a href img src https img shields io badge pdf important svg alt a p vuepress https www cxymsg com ui ui docs guide readme md docs guide preface md docs guide resume md docs guide project md hr docs guide hr md docs guide book md docs guide htmlbasic md css docs guide cssbasic md javascript docs guide jsbasic md docs guide browser md dom docs guide dom md http docs guide httpwritten md docs guide book md javascript docs guide hoisting md event loop docs guide eventloop md docs guide immutable md javascript docs guide memory md docs guide deepclone md event docs guide event md javascript docs guide mechanism md http docs guide http md tcp docs guide tcp md docs guide algorithm md docs guide framework md vue docs guide vue md react docs guide react md dom docs guide virtualdom md proxy defineproperty docs guide devsproxy md setstate docs guide setstate md docs guide router md redux docs guide redux md react fiber docs guide fiber md react docs guide abstract md react hooks docs guide reacthook md ui docs guide componentcli md docs guide component md docs guide carousel md docs guide load md docs guide execute md webpack docs guide webpack md docs guide engineering md babel docs guide ast md webpack hmr docs guide webpackhmr md webpack docs guide webpackplugin md webpack docs guide webpackplugindesign md webpack docs guide webpackmoudle md webpack loader docs guide webpackloader md babel docs guide babelplugin md docs guide security md javascript docs guide mechanism md ecma https www ecma international org publications standards ecma 262 htm typescript node fed 2019 08 12 03 18 41 https xiaomuzhu image oss cn beijing aliyuncs com d846f65d5025c4b6c4619662a0669503 png | front_end |
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xLog | p align center img src https raw githubusercontent com crossbell box xlog main public assets logo svg alt xlog width 100 p h1 align center xlog h1 an open source creative community written on the blockchain discord https img shields io badge chat discord 5865f2 svg logo discord style flat square https discord gg 46vjmmvcuf twitter https img shields io badge twitter xlog 1d9bf0 svg logo twitter style flat square https twitter com xlog build https img shields io github actions workflow status crossbell box xlog docker build push prod yml logo github style flat square https github com crossbell box xlog actions workflows docker build push yml introduction xlog is a blogging platform that runs on the crossbell blockchain it is open source decentralized and free it is a community of bloggers who share their thoughts and ideas with each other it is a place where you can find the latest news and trends of web2 web3 and the real world features https i imgur com s0pbfjg png contributors xlog is a growing community and is always accepting new contributors there s a lot of different ways to help out and we re always looking for extra hands here is what we are currently planning or working on https github com orgs crossbell box projects 1 views 1 detailed information about how to contribute can be found in the contribution guide https github com crossbell box xlog blob dev contributing md we will provide some small gifts to contributors as a token of appreciation currently including the honorary badge https xlog xlog app week14 2023 honorary badges for outstanding contributors in xlog and special permissions on discord in the future there will be additional rewards such as nft achievements therefore please do not forget to leave your xlog address and discord id when submitting a pr related projects proselog https github com proselog proselog xlog is developed based on proselog crossbell https github com crossbell box the blockchain and its supporting facilities on which xlog operates mix space https github com mx space another excellent blogging platform integrated with xlog xlog mobile https github com crossbell box xlog mobile the mobile app for xlog xlog custom css debugger https github com birdgg xlog custom css debugger a convenient chrome extension for debugging custom css in xlog xlog card https github com alex programer xlog card card component for displaying xlog information | xlog blockchain blog crossbell dapp ethereum | blockchain |
study-blockchain-referrence | study blockchain referrence https www gitbook com book yeasy blockchain guide details http zhibimo com books wang miao mastering bitcoin http book 8btc com master bitcoin mastering bitcoin https www bitcoinbook info github https github com bitcoinbook bitcoinbook http book 8btc com http www 8btc com wiki bitcoin a peer to peer electronic cash system https github com ethereum wiki wiki 5b e4 b8 ad e6 96 87 5d e4 bb a5 e5 a4 aa e5 9d 8a e7 99 bd e7 9a ae e4 b9 a6 https ethereum github io yellowpaper paper pdf https docs google com document d 1z4m qwillrehpbvrusj3of8iir gqs zye7w le9gne edit usp sharing http www 8btc com hyperledger whitepaper assets 2016 pdf assets 2017 pdf bcos assets bcos whitepaper pdf fisco bcos https github com fisco bcos whitepaper assets 1 0 2016 pdf corda assets corda 2016 pdf brop http www zcblockchain com images whitepaper pdf 2018 assets 2018 pdf demo https gobittest appspot com raft http thesecretlivesofdata com raft 2017 assets 2017 pdf https blockchain sec com https github com consensys smart contract best practices blob master readme zh md solidity call https mp weixin qq com s yitzsy4 m64lbuhpo 4xeq https yeasy gitbooks io blockchain guide ethereum install html https my oschina net u 2349981 blog 865256 https github com xiaoping378 blog blob master posts e4 bb a5 e5 a4 aa e5 9d 8a e7 a7 81 e6 9c 89 e9 93 be e6 90 ad e5 bb ba e5 88 9d e6 ad a5 e5 ae 9e e8 b7 b5 md solidity https solidity readthedocs io solidity https solidity cn readthedocs io zh latest solidity http www tryblockchain org solidity http me tryblockchain org solidity e5 85 a5 e9 97 a8 e7 b3 bb e5 88 97 html http ethfans org posts 101 noob intro https www gitbook com book luren5 dapp develop details build your first ethereum smart contract with solidity tutorial https codeburst io build your first ethereum smart contract with solidity tutorial 94171d6b1c4b erc20 https www ethereum org token openzeppelin https github com openzeppelin openzeppelin solidity api json rpc api https github com ethereum wiki wiki json rpc json rpc management api https github com ethereum go ethereum wiki management apis web3 js api https github com ethereum wiki wiki javascript api web3 js api https docs readthedocs io web3 js api http web3 tryblockchain org index html web3j for java android https web3j readthedocs io ethereum blockchain mechanism an interpretation of the ethereum project yellow paper assets ethereum 20blockchain 20mechanism 20 20an 20interpretation 20of 20the 20ethereum 20project 20yellow 20paper jpg ethereum frontier guide https www gitbook com book ethereum frontier guide dapps https cryptozombies io https etherscan io https ethstats net https ethernodes org dapp https dapps ethercasts com hyperledger fabric hyperledger fabric 0 6 https github com gymgle fabric 0 6 1 preview blob master docs protocol spec zh md fabric https hyperledger fabric readthedocs io fabric fabric 1 0 https github com hainingzhang articles tree master fabric multi nodes ubuntu fabric 1 0 beta http www cnblogs com studyzy p 6973334 html ubuntu fabric 0 6 https g2ex github io 2017 06 16 fabric 0 6 demo vedio ubuntu 14 04 docker fabric 0 6 https github com imac cloud blockchain tutorial blob master hyperledger hyperledger docker md hyperledger fabric 0 6 ibm bluemix https github com ibm blockchain learn chaincode hyperledger fabric 0 6 learn chaincode https github com gymgle learn chaincode blob master readme zh cn md hyperledger fabric https github com yeasy hyperledger code fabric ibm blockchain 101 https www ibm com developerworks cn cloud library cl ibm blockchain 101 quick start guide for developers bluemix trs index html go fabric 0 6 https www ibm com developerworks cn cloud library cl ibm blockchain chaincode development using golang index html 2017 ibm hyperledger https www ibm com developerworks community blogs 3302cc3b 074e 44da 90b1 5055f1dc0d9c entry opentech blockchain pbft ppt assets pbft pdf ppt assets 201707 pdf ibm supervessel http crl ptopenlab com 8800 bc ibm bluemix blockchain 4 fabric apis https console ng bluemix net catalog services blockchain | json-rpc-api blockchain hyperledger-fabric study-blockchain-referrence ethereum bitcoin books golang | blockchain |
Mini-Hacks | mini hacks we invite you to join the microsoft team india s mini hacks challenge a fast easy and fun way to explore native mobile development with xamarin each mini hack consists of a small programming challenge involving a specific set of apis or a particular third party programming framework mini hacks are designed to stimulate developers of all skill levels each challenge comes with step by step instructions to guide you if you get stuck you can find all of the challenges in this github repository to get started click one of the mini hack folders above and attempt to complete the challenge that is described in the included readme file note mini hacks are inspired by xamarin s original challenges for evolve https github com xamarin mini hacks the hacks in this repository are used for contests by microsoft team in india you re free to try authors 1 aparna chinya https twitter com aparnachinya bugsweeper azure mobile apps 2 mayur tendulkar https twitter com mayur tendulkar emotion api translator api 3 nish anil https twitter com nishanil xamarin workbooks | front_end |
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MIT-Driverless-CV-TrainingInfra | accurate low latency visual perception for autonomous racing challenges mechanisms and practical solutions p align center img src https user images githubusercontent com 22118253 70957091 fe06a480 2042 11ea 8c06 0fcc549fc19a png width 800 p this is the pytorch side code for the accurate low latency visual perception system introduced by kieran strobel sibo zhu raphael chang and skanda koppula accurate low latency visual perception for autonomous racing challenges mechanisms and practical solutions https static1 squarespace com static 5b79970e3c3a53723fab8cfc t 5dd31c1eb16d2c02ed66408d 1574116397888 accurate low latency visual perception for autonomous racing challenges mechanisms and practical solutions pdf if you use the code please cite the paper misc strobel2020accurate title accurate low latency visual perception for autonomous racing challenges mechanisms and practical solutions author kieran strobel and sibo zhu and raphael chang and skanda koppula year 2020 eprint 2007 13971 archiveprefix arxiv primaryclass cs cv abstract autonomous racing provides the opportunity to test safety critical perception pipelines at their limit this paper describes the practical challenges and solutions to applying state of the art computer vision algorithms to build a low latency high accuracy perception system for dut18 driverless dut18d a 4wd electric race car with podium finishes at all formula driverless competitions for which it raced the key components of dut18d include yolov3 based object detection pose estimation and time synchronization on its dual stereovision monovision camera setup we highlight modifications required to adapt perception cnns to racing domains improvements to loss functions used for pose estimation and methodologies for sub microsecond camera synchronization among other improvements we perform an extensive experimental evaluation of the system demonstrating its accuracy and low latency in real world racing scenarios p align center img src https user images githubusercontent com 22118253 70950893 e2de6980 202f 11ea 9a16 399579926ee5 gif width 800 p cvc yolov3 cvc yolov3 is the mit driverless custom implementation of yolov3 one of our main contributions to vanilla yolov3 is the custom data loader we implemented each set of training images from a specific sensor lens perspective combination is uniformly rescaled such that their landmark size distributions matched that of the camera system on the vehicle each training image was then padded if too small or split up into multiple images if too large p align center img src https user images githubusercontent com 22118253 69765465 09e90000 1142 11ea 96b7 370868a0033b png width 400 p our final accuracy metrics for detecting traffic cones on the racing track map recall precision 89 35 92 77 86 94 cvc yolov3 dataset with formula student standard is open sourced here https storage cloud google com mit driverless open source yolo dataset zip authuser 1 rektnet rektnet is the mit driverless custom key points detection network p align center img src https user images githubusercontent com 22118253 69765965 fd65a700 1143 11ea 8804 cd1d33f2e824 png width 800 p rektnet takes in bounding boxes outputed from cvc yolov3 and outputs seven key points on the traffic cone which is responsible for depth estimation of traffic cones on the 3d map v our final depth estimation error vs distance graph the monocular part p align center img src https user images githubusercontent com 22118253 69766182 cc39a680 1144 11ea 9ebc 5708019ba5d2 png width 600 p rektnet dataset with formula student driverless standard is open sourced here https storage cloud google com mit driverless open source rektnet dataset zip authuser 1 license this repository is released under the apache 2 0 license see license license for additional details | yolov3 autonomous-vehicles keypoints pytorch mit-driverless resnet object-detection object-localization cnn | ai |
dev-x-tension | dev x tension overview this app is a blogging app for students of full stack bootcamps it s a place to rant or share your successes or stash your dad jokes for later technologies used html css reactstrap javascript node js express mongo mongoose react heroku mailchimp api link to live app https secure forest 14415 herokuapp com | server |
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ComputerVision2018-19 | computer vision 2018 19 this repository contains the python courseworks for the computer vision course at department of computing imperial college london academic year 2018 2019 delivered by dr wenjia bai http wp doc ic ac uk wbai the courseworks were developed jointly by dr wenjia bai http wp doc ic ac uk wbai and mr athanasios vlontzos https www linkedin com in athanasios vlontzos | ai |
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stateless-blockchain | stateless blockchain experiment disclaimer this repository is purely experimental and is not production quality the design choices made in this project are impractical from both a security and usability standpoint additionally the following code has not been checked for correctness style or efficiency testing the project in the root directory to build the project run cargo build release to start the chain run target release stateless blockchain dev execution block construction native if you need to reset the chain run target release stateless blockchain purge chain dev if you would like to execute tests run cargo test p stateless blockchain runtime release in the accumulator client directory you must use nightly rust install wasm pack if you don t already have it cargo install wasm pack run wasm pack build to compile the crate to wasm inside pkg run npm link in the client directory run npm install to install all necessary dependencies run npm link accumulator client to link to the generated wasm files run yarn start to start a local server on localhost 8000 overview and background this project implements a utxo based stateless blockchain on substrate using an rsa accumulator a cryptographic accumulator is a short commitment to a set that includes small witnesses a merkle tree is a type of accumulator however compared to merkle trees accumulators have constant size inclusion proofs can efficiently add and delete dynamic and can support both membership and non membership proofs universal these features make accumulators a suitable fit for the stateless validation model in this scheme validating parties only need to track a single dynamic accumulator that represents a commitment to the state instead of actually having to store the entire state such as the utxo set in bitcoin similarly users only need to store their own utxos and membership proofs however since users must constantly watch for updates to the accumulator in order to update their proofs a data service provider who handles witnesses on behalf of users is likely to be used in practice this particular implementation includes batching and aggregation techniques from this paper https eprint iacr org 2018 1188 pdf details setup the accumulator can be instantiated with a group of unknown order such as an rsa group any rsa number up to rsa 2048 is supported see the accumulator crate root accumulators can be instantiated with no trusted setup using class groups but remain mostly a research topic at the moment mechanics the workflow of a stateless blockchain is as follows 1 a mechanism like proof of work or some other minting mechanism can be used to add new coins to the accumulator 2 to spend a coin users construct transactions that include their utxo the membership witness for that utxo and a valid transaction output 3 at the finalization of a block the miner validator aggregates all of the inclusion proofs from the spent utxos and uses it to batch delete them from the accumulator similarly the miner validator batch adds the newly created utxos to the accumulator at each step the miner validator outputs a proof of correctness that the deletion addition was executed correctly structure the base of this project is a simple substrate runtime however the core accumulator logic is stored in the accumulator crate and includes all of the integer specific functions succinct proofs of exponentiation and functions for creating or updating membership witnesses the front end for this project is stored in the client directory and implements a simple react page based on the substrate front end template accumulator client is a wrapper crate for accumulator that uses wasm bindgen to export several accumulator functions to wasm this is necessary so that the front end can interact with the accumulator limitations since this is an experimental project there exists numerous limitations instead of using a proof of work module this runtime allows users to trivially mint new coins the utxos that are created more closely resemble non fungible tokens and are not explicitly value bearing only contain identifier and owner users can only submit one transaction per block and each transaction is limited to one input and one output instead of aggregating inclusion proofs in memory the blockchain must temporarily write the details of each incoming transaction to storage but are erased at the end of the block this is currently the only viable method for processing incoming extrinsics without modifying substrate itself the scheme does not verify any signatures signatures could be aggregated within a block using bls signatures miscellaneous the primary computational bottleneck occurs when a utxo is hashed to a prime representation although this implementation uses a deterministic variant of the miller rabin primality test that is efficient since we have used a small lambda value for testing it can still be a limiting factor page 24 of https eprint iacr org 2018 1188 pdf presents a modification to the inclusion proofs such that the verifier only needs to perform one round of primality checking instead of rederiving the hash representation which involves about log lambda rounds if transactions are taking too long to process the block time can be modified by changing minimumperiod in the crate root of the runtime with regard to semantics it is important to note that this implementation is not actually a stateless blockchain since the runtime still utilizes the underlying storage trie of substrate as well as multiple srml components however the storage requirements are still fairly minimal vector commitments the directory titled vector commitment is a crate that implements both binary and general vector commitments using the rsa accumulator a vector commitment is a primitive that allows for the commitment of an ordered list of elements where elements can only be opened at their corresponding indices position binding particularly one can use a vector commitment to commit to a binary vector by mapping the indices of elements that are 1 to primes and then batch adding them to an accumulator a subset of those indices can be opened with constant sized openings by utilizing the batching functionality from the accumulator this scheme can be further generalized to accumulate a key value store using a large sparse vector and finally used to build an account based stateless blockchain future work here is a non comprehensive list of potential future steps implementing more complex utxo logic integrating a proof of work module creating a ux friendly front end creating a data service provider investigating class groups signature aggregation explore accumulator unions and multiset accumulators creating an account based stateless blockchain runtime reading list https eprint iacr org 2018 1188 pdf https www zeroknowledge fm 88 https blog goodaudience com deep dive on rsa accumulators 230bc84144d9 http diyhpl us wiki transcripts stanford blockchain conference 2019 accumulators https scalingbitcoin org transcript tokyo2018 accumulators https ethresear ch t accumulators scalability of utxo blockchains and data availability 176 https www youtube com watch v tqqsbsahjzs https ethresear ch t rsa accumulators for plasma cash history reduction 3739 https crypto stackexchange com questions 66396 cryptographic accumulators accumulator size vs max number of set members note this repository will no longer be maintained by its original owner after november 2019 | blockchain |
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iSpy | ispy v1 0 is now obsolete v2 0 will be released shortly and contains many many enhancements ispy assessment framework ispy aims to be your one stop shop for reverse engineering and dynamic analysis of ios applications current release the current release is a developer preview code is subject to change and will be unstable however we appreciate code contributions feature requests and bug reports we currently do not have binary releases stay tuned instructions compiling and installing ispy https github com bishopfox ispy wiki setup ispy from source injecting ispy into apps https github com bishopfox ispy wiki ispy tutorial features easy to use web gui class dumps instance tracking automatic jailbreak detection bypasses automatic ssl certificate pinning bypasses re implemented objc msgsend for logging and tracing function calls in realtime cycript http www cycript org integration access cycript from your browser anti anti method swizzling automatic detection of vulnerable function calls easy to use soft breakpoints more on the way | os |
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HEP-ML-Resources | hepml resources doi https zenodo org badge 89476450 svg https zenodo org badge latestdoi 89476450 license https img shields io github license iml wg hep ml resources svg https opensource org licenses mit listing of useful mostly public learning resources for machine learning applications in high energy physics hepml listings will be in reverse chronological order like a cv n b this listing will almost certainly be biased towards work done by atlas scientists as the maintainer is a member of atlas and so sees atlas work the most however this is not the desired case and help to diversify this listing contributing would be greatly appreciated table of contents introductory material introductory material lectures lectures seminar series seminar series tutorials tutorials schools schools courses courses journals journals software software public datasets public datasets papers papers workshops workshops tweets tweets other hep resource collections other hep resource collections people people contributing contributing introductory material introductory https img shields io badge subject introductory blue svg lectures introduction to gans https indico cern ch event 655447 contributions 2742176 by luke de oliveira https ldo io november 3 2017 frontiers with gans https indico cern ch event 655447 contributions 2742180 by michela paganini http mickypaganini github io november 3 2017 nikhef colloquium teaching machines to discover particles https indico nikhef nl event 878 by gilles louppe https glouppe github io september 29 2017 cern academic training lecture regular programme https indico cern ch category 72 april 2017 machine learning machine learning lecture 1 https indico cern ch event 619370 michael kagan https www linkedin com in michael kagan 06292616 slac machine learning lecture 2 https indico cern ch event 619371 michael kagan https www linkedin com in michael kagan 06292616 slac deep learning and vision https indico cern ch event 619372 jonathon shlens https research google com pubs jonathonshlens html google research deep learning in high energy physics https youtu be csxqpfb0yow by amir farbin http www uta edu physics pages faculty profiles farbin index html seminar series cern data science seminars https indico cern ch category 9320 inter experimental lhc machine learning working group https iml web cern ch guest seminars open challenges for improving generative adversarial networks gans https indico cern ch event 673989 by ian goodfellow http www iangoodfellow com october 27 2017 tutorials pytorch deep learning minicourse https github com atcold pytorch deep learning minicourse codas hep 2018 https indico cern ch event 707498 timetable by alfredo canziani https github com atcold binder https mybinder org badge logo svg https mybinder org v2 gh atcold pytorch deep learning minicourse master intro tutorial on gans https indico fnal gov event 16720 by michela paganini http mickypaganini github io binder https mybinder org badge logo svg https mybinder org v2 gh mickypaganini gan tutorial master scikit learn tutorial https indico cern ch event 595059 contributions 2522192 by gilles louppe https glouppe github io binder https mybinder org badge logo svg https mybinder org v2 gh glouppe tutorials iml2017 master nbviewer https img shields io badge view 20on nbviewer brightgreen svg https nbviewer jupyter org github glouppe tutorials iml2017 tree master tmva tutorial https indico cern ch event 595059 contributions 2522191 by lorenzo moneta https phonebook cern ch phonebook persondetails id 415998 keras and tmva interfaces tutorial https indico cern ch event 595059 contributions 2522193 by stefan wunsch https www ims kit edu 14 117 php boosted decision tree tutorial using xgboost https github com k woodruff bdt tutorial by katherine woodruff https tele fnal gov cgi bin telephone script type name last accuracy contains string woodruff binder https mybinder org badge logo svg https mybinder org v2 gh k woodruff bdt tutorial master nbviewer https img shields io badge view 20on nbviewer brightgreen svg http nbviewer jupyter org github k woodruff bdt tutorial tree master introduction to deep learning with keras tutorial https gist github com lukedeo 0654e7310432d6d435126c556b863907 by luke de oliveira https ldo io introduction to deep learning with keras tutorial https indico cern ch event 487416 contributions 2174907 2nd developers cern forum https indico cern ch event 487416 timetable by michela paganini http mickypaganini github io schools hep ml upcoming deep learning for science summer school 2019 berkeley ca usa https dl4sci school lbl gov home july 15 19 2019 past 5th machine learning in high energy physics summer school 2019 https indico cern ch event 768915 july 1 10 2019 associated yandex school of data analysis https github com yandexdataschool repo mlhep2019 https github com yandexdataschool mlhep2019 4th machine learning in high energy physics summer school 2018 https indico cern ch event 687473 august 6 12 2018 associated yandex school of data analysis https github com yandexdataschool repo mlhep2018 https github com yandexdataschool mlhep2018 2nd computational and data science school for high energy physics codas hep 2018 https indico cern ch event 707498 july 23 27 2018 3rd machine learning in high energy physics summer school 2017 https indico cern ch event 613571 july 17 23 2017 associated yandex school of data analysis https github com yandexdataschool repo mlhep2017 https github com yandexdataschool mlhep2017 1st computational and data science school for high energy physics codas hep https indico cern ch event 625333 july 10 13 2017 2nd machine learning in high energy physics summer school 2016 https indico cern ch event 497368 overview june 20 26 2016 associated yandex school of data analysis https github com yandexdataschool repo mlhep2016 https github com yandexdataschool mlhep2016 1st machine learning in high energy physics summer school 2015 https www hse ru mlhep2015 august 27 30 2015 associated yandex school of data analysis https github com yandexdataschool repo mlhep2015 https github com yandexdataschool mlhep2015 deep learning upcoming machine learning summer school 2019 london uk https sites google com view mlss 2019 home authuser 0 july 15 26 2019 machine learning summer school 2019 stellenbosch south africa http mlssafrica com january 7 18 2019 past machine learning summer school 2018 madrid spain http mlss ii uam es mlss2018 index html august 27 september 7 2018 machine learning summer school 2018 buenos aires argentina http mlss2018 net ar june 18 20 2018 deep learning and reinforcement learning summer school toronto canada https dlrlsummerschool ca july 25 august 3 2018 paiss artificial intelligence summer school grenoble france https project inria fr paiss july 2 6 2018 deep learning summer school 2016 https sites google com site deeplearningsummerschool2016 august 1 7 2016 courses advanced machine learning http www montefiore ulg ac be geurts cours aml aml2017 2018 html pierre geurts gilles louppe https glouppe github io and louis wehenkel spring 2018 universit de li ge institut montefiore applications of deep learning to high energy physics https wiki uta edu display afarbin physics 4 285 29391 002 applications of deep learning to high energy physics amir farbin http www uta edu physics pages faculty profiles farbin index html spring 2017 university of texas at arlington associated github repository dsathep tutorial https github com uta hep computing dsathep tutorial tensorflow for deep learning research https web stanford edu class cs20si syllabus html spring 2017 stanford univeristy introduction to machine learning and convolutional neural networks for visual recognition spring 2017 https www youtube com watch v vt1jzlth4g4 list pl3fw7lu3i5jvhm8ljyj zlfqrf3eo8syv stanford university fei fei li http vision stanford edu feifeili justin johnson http cs stanford edu people jcjohns serena yeung http ai stanford edu syyeung winter 2016 https www youtube com watch v nfnwjuyujyu stanford university andrej karpathy https cs stanford edu people karpathy fei fei li http vision stanford edu feifeili justin johnson http cs stanford edu people jcjohns journals distill research journal http distill pub software common software tools and environments used in hep for ml python environments for scientific computing the conda package and environment manager https conda io docs and anaconda https www continuum io anaconda overview python library collection using root pyroot with conda and numpy https indico cern ch event 619371 attachments 1450504 2236434 kagan lecture2 pdf page 99 scikit learn http scikit learn org stable general machine learning python library tmva https root cern ch tmva root s builtin machine learning package tmva branch adder https github com pseyfert tmva branch adder wrapper to add tmva response to ttree without boiler plate code high level deep learning libraries framework apis keras https keras io deep learning frameworks tensorflow https www tensorflow org theano http deeplearning net software theano pytorch http pytorch org caffe2 https caffe2 ai list of conversion tools for saved networks https github com ysh329 deep learning model convertor hep to ml bridge tools lwtnn https github com lwtnn lwtnn tool to run keras networks in c code sklearn porter https github com nok sklearn porter transpile trained scikit learn estimators to c java javascript and others onnx https onnx ai open format to represent deep learning models scikit hep http scikit hep org toolset of interfaces and python tools for particle physics root numpy https github com scikit hep root numpy the interface between root and numpy root pandas https github com scikit hep root pandas an upgrade of root numpy to use with pandas uproot https github com scikit hep uproot mimimalist root to numpy converter no dependency on root ttree2hdf5 https github com dguest ttree2hdf5 mimimalist root to hdf5 converter written in c hep ml https github com arogozhnikov hep ml python algorithms and tools for hep ml use cases images for containerized environments atlas machine learning docker images https gitlab cern ch aml containers docker base images for a modern python 3 machine learning environment for physics notebooks vince croft roofit notebooks https www nikhef nl vcroft notebooks html public datasets cern iml public datasets listing https iml web cern ch public datasets listing of public datsets that are used for machine learning studies at the lhc papers a bib file for all papers listed is available in the tex directory https github com iml wg hep ml resources blob master tex hepml bib a listing of papers of applications of machine learning to high energy physics can be found in papers md https github com iml wg hep ml resources blob master papers md workshops upcoming tba past machine learning for jet physics 2020 https indico cern ch event 809820 january 15 17 2020 machine learning and the physical sciences at nips https ml4physicalsciences github io december 14 2019 4th atlas machine learning workshop 2019 https indico cern ch event 844092 november 11 15 2019 fast machine learning iris hep blueprint workshop https indico cern ch event 822126 september 10 13 2019 3rd cms machine learning workshop 2019 https indico cern ch event 798721 june 17 19 2019 cms only https img shields io badge restricted cms red svg theoretical physics for deep learning at icml 2019 https sites google com view icml2019phys4dl june 14 2019 3rd iml machine learning workshop 2019 https indico cern ch event 766872 april 15 18 2019 accelerating the search for dark matter with machine learning 2019 http indico ictp it event 8674 april 8 12 2019 5th connecting the dots intelligent trackers 2019 https indico cern ch event 742793 april 2 5 2019 19th international workshop on advanced computing and analysis techniques in physics research acat 2019 https indico cern ch event 708041 march 11 15 2019 machine learning for jet physics 2018 https indico cern ch event 745718 november 14 16 2018 3rd atlas machine learning workshop 2018 https indico cern ch event 735932 october 15 17 2018 2nd cms machine learning workshop 2018 https indico cern ch event 730677 july 2 4 2018 cms only https img shields io badge restricted cms red svg 2nd iml machine learning workshop 2018 https indico cern ch event 668017 april 9 12 2018 machine learning for phenomenology 2018 https conference ippp dur ac uk event 660 april 3 6 2018 4th international connecting the dots workshop 2018 https indico cern ch event 658267 march 20 22 2018 accelerating the search for dark matter with machine learning 2018 https indico cern ch event 664842 january 15 19 2018 machine learning for jet physics 2017 https indico physics lbl gov indico event 546 december 11 13 2017 deep learning for physical sciences at nips https dl4physicalsciences github io december 8 2017 18th international workshop on advanced computing and analysis techniques in physics research acat 2017 https indico cern ch event 567550 august 21 25 2017 hammers nails machine learning hep https www weizmann ac il conferences sritp summer2017 july 19 28 2017 cms machine learning workshop 2017 https indico cern ch event 646801 july 5 6 2017 cms only https img shields io badge restricted cms red svg 2nd atlas machine learning workshop 2017 https indico cern ch event 630665 overview june 6 9 2017 atlas only https img shields io badge restricted atlas red svg workshop on machine learning and b tagging https indico cern ch event 615994 overview may 23 26 2017 atlas only https img shields io badge restricted atlas red svg ds hep 2017 https indico fnal gov conferencedisplay py confid 13497 may 8 12 2017 2nd s2i2 hep cs workshop parallel session https indico cern ch event 622920 timetable 5 parallel session machine lea may 1 3 2017 cern openlab workshop on machine learning and data analytics https indico cern ch event 627852 april 27 2017 first iml workshop on machine learning https indico cern ch event 595059 march 20 22 2017 ds hep at the simons foundation https indico hep caltech edu indico conferencedisplay py confid 102 july 5 7 2016 alice mini workshop 2016 statistical methods and machine learning tutorial https indico cern ch event 514695 may 18 2016 alice only https img shields io badge restricted alice red svg atlas machine learning workshop 2016 https indico cern ch event 483999 march 29 31 2016 atlas only https img shields io badge restricted atlas red svg heavy flavour data mining workshop https indico cern ch event 433556 february 18 20 2016 data science lhc 2015 https indico cern ch event 395374 november 9 13 2015 tweets hepml collection of tweets https twitter com search q hepml src typd people hepml directory http mickypaganini github io hepml directory opt in list of people working at the intersection of machine learning and high energy physics add yourself through the google form https t co jprokvzeik other hep resource collections hep software foundation https github com hsf training s list of python libraries of interest to particle physics https github com hsf training pyhep resources contributing contributions to help improve the listing are very much welcome please read contributing md https github com matthewfeickert hep ml resources blob master contributing md for details on the process for submitting pull requests or filing issues authors listing maintainer matthew feickert http www matthewfeickert com acknowledgments following purplebooth https github com purplebooth s readme style https gist github com purplebooth 109311bb0361f32d87a2 all badges made by shields io http shields io inspiration for this listing came from the awesome machine learning https github com josephmisiti awesome machine learning repo and dustin tran http dustintran com s machine learning videos https github com dustinvtran ml videos repo many thanks to everyone who has contributed their time https github com iml wg hep ml resources graphs contributors to improve this project | hep machine-learning | ai |
blockchain-enabled-crowdfunding | note this repository has been archived and no longer maintained build a network to support blockchain enabled crowdfunding demonstrate the use of hyperledger fabric for building a collaborative crowdfunding platform crowdfunding is practice of funding that operates independently of any government and is a way for people businesses and charities to raise money it is a way of raising finance by asking a large number of people each for a small amount of money people invest simply because they believe in the cause there are several types of crowdfunding donation based rewards based debt equity but not all types of crowdfunding are regulated by government organizations like the uk s financial conduct authority crowdfunding has many benefits but it also comes with a substantial risk of fraud as well as a number of potential risks such as loss of money locked in investment lack of income and lack of information many people worry about being scammed by a fraudulent request due in large part to crowdfunding s lack of transparency and trust there have been few reported cases of fraud in crowdfunding particularly when compared to the number of transactions and amounts involved however as the number of crowdfunding platforms grows so does the risk that platform operators themselves may engage in or enable fraud this code pattern showcases blockchain enabled crowdfunding by showing you how to use a hyperledger fabric network to build a platform to aid crowdfunding this network provides a holistic view of the requirement and its current status which helps to address the need more efficiently and reduces the problems of over collection or under collection for a need all of this means that the platform creates trust accountability and operational transparency in this code pattern we have taken an example of the crowdfunding event raise funds to increase green cover when the reader has completed this code pattern they will understand how to setup blockchain network using ibm blockchain platform ibp interact with ibp using fabric java sdk build a nodejs client application which will interact with blockchain network with the help of fabric java sdk application flow images architecture png 1 setup blockchain network using ibm blockchain platform on ibm cloud 2 deploy the client application using fabric java sdk it works as middle layer and exposes rest api 3 deploy web ui application built using nodejs 4 user can perform following task using the web interface which internally interacts with blockchain network with the help of middle layer current status of funds raised donate for the cause view all supporters who have donated pre requisites ibm cloud account https cloud ibm com git client https git scm com downloads needed for clone commands maven https maven apache org install html needed to build the client maven is a build automation tool used primarily for java projects ibm cloud cli https cloud ibm com docs cli topic cloud cli getting started steps deployment using ibp extension on vscode if you want to deploy this code pattern using ibp extension on vscode please refer readme vscodedeploy md https github com ibm blockchain enabled crowdfunding blob local deployment branch readme vscodedeploy md deployment on ibm cloud using ibm blockchain platform follow these steps to setup and run this code pattern the steps are described in detail below 1 get the code 1 get the code 2 create ibm cloud services 2 create ibm cloud services 3 setup hyperledger fabric network using ibm blockchain platform 3 setup hyperledger fabric network using ibm blockchain platform 4 build the client application using fabric java sdk 4 build the client application using fabric java sdk 5 build and deploy webapp 5 build and deploy webapp 6 analyze the results 6 analyze the results 1 get the code clone the repo using the below command git clone https github com ibm blockchain enabled crowdfunding in this repository chaincode https github com ibm blockchain enabled crowdfunding tree master chaincode go lang based smart contract with application logic that has to be installed on the network client code using fabric java sdk https github com ibm blockchain enabled crowdfunding tree master fabric java sdk app application code built using fabric java sdk to invoke and query chaincode on the hyperledger fabric network the operations are exposed as rest apis when deployed enabling other applications to consume web application code https github com ibm blockchain enabled crowdfunding tree master webapp nodejs based application code to render ui and integrates with the rest apis exposed by the client application built on fabric java sdk 2 create ibm cloud services create ibm kubernetes service create a kubernetes cluster with kubernetes service https cloud ibm com containers kubernetes catalog cluster using ibm cloud dashboard this pattern uses the free cluster images create kubernetes service png note it can take up to 15 20 minutes for the cluster to be set up and provisioned create ibm blockchain platform service create ibm blockchain platform service https cloud ibm com catalog services blockchain platform instance using ibm cloud dashboard images create ibp service png 3 setup hyperledger fabric network on ibm blockchain platform on ibm cloud in this step we will setup the hyperledger fabric network using ibm blockchain platform as explained below create hyperledger fabric network on ibm blockchain platform follow this tutorial https developer ibm com tutorials quick start guide for ibm blockchain platform to create fabric network using ibm blockchain platform the blockchain network should consist of two organizations with single peer each and an orderer service for carrying out all the transactions deploy smart contract on ibm blockchain platform smart contract chaincode is available here https github com ibm blockchain enabled crowdfunding tree master chaincode package the smart contract to package follow the instructions provided here https developer ibm com tutorials quick start guide for ibm blockchain platform as step 12 for your convenience packaged smart contract cds is also provided in repo under chaincode directory you can use this file directly to install smart contract install and instantiate smart contract install smart contract using the cds file generated downloaded as explained in previous step instantiate the smart contract function name to be provided during instantiation is init and no parameters or we can leave it blank as we are using the default function name init only download connection profile instantiation of smart contract has to be followed by integrating the blockchain network with fabric java sdk follow the below steps to download connection profile under instantiated smart contracts section click on the three vertical dots for your smart contract as shown click on connect with sdk option images connect with sdk png provide the msp name and certificate authority scroll down and click on download connection profile images download connection profile png rename the downloaded json file as connection profile json place this file in fabric java sdk app src main resources it gets loaded through connectionprofileloader java 4 build the client application using fabric java sdk here we use the fabric java sdk app https github com ibm blockchain enabled crowdfunding tree master fabric java sdk app to build a client to invoke and query chaincode on the hyperledger fabric network open the manifest yml file under fabric java sdk app directory under env section provide the valid credentials for an user who can execute transactions in the network also update organization affiliation and chaincode name applications name blockchain enabled crowdfunding java random route true memory 1024m path target crowdfunding java war buildpack java buildpack env admin admin username adminpw admin password orgaffiliation affiliation chaincodename chaincode name note in this pattern we are using admin credentials directly for executing transactions next on the command terminal go to blockchain enabled crowdfunding directory and execute the below commands cd fabric java sdk app mvn clean install ibmcloud cf push login to ibm cloud on the dashboard verify that an app blockchain enabled crowdfunding java is running fine make a note of this fabric java sdk client application s url on ibm cloud dashboard click on the application when application page opens click on visit app url now make a note of the url as shown on the browser even if the page shows some error if the url ends with a then remove the trailing forward slash this url should be provided in web application that interacts with this fabric java sdk client application 5 build and deploy webapp a web application is provided to perform various operations like donate view supporters etc web application code can be found under webapp directory this web application invokes rest interfaces implemented in fabric java sdk client application as explained above hence the web application needs fabric java sdk client application url for rest invocations perform the following steps run the below command cd webapp update the java application url as noted in section 3 in config js file of webapp directory deploy the application to ibm cloud using the command ibmcloud cf push deployment might take a few minutes to complete ensure that there are no errors while deploying the application 6 analyze the results login to ibm cloud on the dashboard verify that an app blockchain enabled crowdfunding webui is running fine click on the web application entry when application page opens click on visit app url web application page opens it shows the crowdfunding project details current status of funds raised and the tasks that you can perform to donate click on donate provide the required details and click on donate now to donate click on view supporters to view the list of supporters who have donated images demo gif note the images used in ui are downloaded from internet which are free to use and share learn more ibm blockchain platform quick start guide https developer ibm com tutorials quick start guide for ibm blockchain platform how to use fabric java sdk with a tls enabled hyperledger fabric network https developer ibm com tutorials hyperledger fabric java sdk for tls enabled fabric network learn about crowdfunding https en wikipedia org wiki crowdfunding keep this license this code pattern is licensed under the apache software license version 2 separate third party code objects invoked within this code pattern are licensed by their respective providers pursuant to their own separate licenses contributions are subject to the developer certificate of origin version 1 1 dco https developercertificate org and the apache software license version 2 https www apache org licenses license 2 0 txt apache software license asl faq https www apache org foundation license faq html whatdoesitmean | crowdfunding ibm-blockchain-platform hyperledger-fabric blockchain-network fabric-java-sdk fabric-network nodejs java javascript | blockchain |
gov-design-systems-list | gov design systems a list of design systems and design resources that gov departments have created uk national government government digital service gov uk design system https design system service gov uk backlog and community discussion https github com alphagov govuk design system backlog projects 1 gov uk publishing guide https docs publishing service gov uk manual components html component guides home office home office design system https design homeoffice gov uk backlog and community discussion https github com ukhomeoffice design system projects 1 home office form builder https ukhomeofficeforms github io hof guide department for work and pensions dwp design system https design system dwp gov uk index backlog and community discussion https github com dwp design system community backlog projects 1 department for education design manual https design education gov uk apply the service standard in dfe https apply the service standard education gov uk mi6 mi5 and gchq intelligence community design system https design sis gov uk backlog https github com orgs mi6 projects 2 views 4 her majesty s revenue and customs hmrc design patterns https design tax service gov uk hmrc design patterns backlog and community discussion https github com hmrc design patterns projects 1 ministry of justice moj pattern library https design patterns service justice gov uk hm courts tribunals service cjs crime programme design patterns https cjscpp design patterns herokuapp com hmcts design system https hmcts design system herokuapp com ministry of housing communities and local government digital land design https digital land github io design system dvsa dvsa front end https dvsa front end herokuapp com hm land registry design system https hmlr design system herokuapp com frontend components https hmlr frontend herokuapp com department for environment food and rural affairs form builder lets you create a form transaction visually https github com defra digital form builder office for national statistics ons website pattern library https onsdigital github io ons pattern library starter electronic questionnaire product design system https ons design system netlify app ons prototyping kit for internal systems https github com onsdigital prototype kit armed forces royal navy https docs royalnavy io health social care nhs nhs design system https service manual nhs uk design system nhs style guide https service manual nhs uk content national institute for health and care excellence nice nice design system https design system nice org uk nice backlog and discussion https github com nice digital nice design system discussions storybook to play around with component options https storybook nds netlify app path story components action banner default scotland scottish government s digital scotland design system https designsystem gov scot local gov brighton hove city council http csmdemo uk bhcc website design patterns index php p welcome essex https essex design system herokuapp com hackney https design system hackney gov uk transport for west midlands west midlands network https designsystem wmnetwork co uk international argentina poncho in spanish https argob github io poncho australia australian government design system https designsystem gov au decommissioned but still available as of november 2021 github repository archived read only https github com govau design system components agriculture design system https design system agriculture gov au brazil brazilian government design system https www gov br ds home gitlab repository https gitlab com govbr ds dev govbr ds dev core wiki https govbr ds gitlab io govbr ds wiki canada canada ca design system https www canada ca en government about design system html gc design system https design alpha canada ca en canadian provinces ontario design system https designsystem ontario ca british columbia government design system for digital services https developer gov bc ca design system about the design system quebec design system syst me de design gouvernemental https design quebec ca apercu systeme yukon design system https guide yukon ca en yukon design system france state design system https www systeme de design gouv fr germany state of schleswig holstein https www design system sh greece central government https guide services gov gr new zealand design system for nz public sector websites https design system alpha digital govt nz united states us web design system https designsystem digital gov state and local government california design system https designsystem webstandards ca gov hennepin county minnesota pattern and component library https www hennepin us pattern components commonwealth of massachusetts design system https mayflower digital mass gov home | os |
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Sentiment-Analysis-for-Trading | sentiment analysis for trading welcome to my sentiment analysis model development currently in progress we can t open source the whole code because we are currently in talk with companies for collaboration below is prediction for nasdaq using our model price is scaled to 1 trained the model for past 2 years and predicted the results for 200 days in the future predicted results for nasdaq https i imgur com twv8cxv png | natural-language-processing trading sentiment-analysis sentiment sentiment-classification machine-learning machine-learning-algorithms artificial-intelligence ai | ai |
iotx-api-demo | iotx api demo sdk demo demo java python php net go sdk | server |
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ActionData | action data for swift action data is a suite of backend controls designed to quickly and easily add support for several common databases and data formats such as sqlite json xml and cloudkit to your app action data provides both light weight low level access to the data sources along with high level object relationship management orm support using swift 4 s new codable encodable and decodable protocols created by developers for developers appracatappra s controls are designed to be quickly added to your app s project with a minimum of code and effort making it easy to add high quality professional features and functionality to your app without having to write tons of repetitive boilerplate code using action data action data requires the action utilities framework to be added to your project as well the easiest way to accomplish this download the source code for both frameworks from github and drag the actionutilities xcodeproj and actiondata xcodeproj project files under your project s hierarchy in xcode additionally you should add the actiondata framework and actionutilities framework files to the your project s embedded binaries under the general tab in xcode images install01 png what s included action data adds the following functionality action data binding action data binding allows you to bind values from a data model any class or structure that conforms to the codable protocol to a adboundviewcontroller and the controller will automatically populate any control that conforms to the adbindable protocol with the values from the model action codable action codable uses swift 4 s new codable encodable and decodable protocols to move information between your data models and our portable adrecord and adrecordset formats swift portable object notation swift portable object notation the new swift portable object notation spon data format that allows complex data models to be encoded in a portable text string that encodes not only property keys and data but also includes type information about the encoded data action data providers action data providers provides light weight low level access and high level object relationship management orm support to several common databases and data formats such as sqlite json xml spon and cloudkit action sql parser action sql parser provides the ability to parse text containing one or more sql commands into an action data sql document object model dom and is used to provide sql support for data sources that don t support sql natively such as cloudkit and json more documentation more documentation and use examples visit the appracatappra website for more information on action data and how to use it a name action data binding a action data binding a adboundviewcontroller provides a method to attach it to a data model any swift class or structure that conforms to the codable protocol and any control conforming to the adbindable protocol on any view or subview will automatically be populated with the values from the data model based on the datapath property of the control the datapath must match the name and case of a field on the attached data model or be a formula using a sql like syntax by using the setdatamodel function to set the model and automatically populate the fields you to not need to create actions or outlets for the individual controls the adboundviewcontroller will automatically handle the reading and writing of properties for you for any adbindable control that is editable calling the getdatamodel function will return the values from the controls on the view and subviews these will be written to the field of the data model as specified by the datapath property of the control as a result a formula should not be used for the datapath of any field that is readable for any field that requires onscreen keyboard support the adboundviewcontroller will automatically handle keyboard events such as moving fields hidden by the keyboard so they are visible and moving them back after they lose focus accessory tools can be automatically added to the keyboard to move between the text entry fields and to close the keyboard based on options for each control these buttons can be customized using the prevbuttontext prevbuttonimage nextbuttontext nextbuttonimage donebuttontext and donebuttonimage properties of the adboundviewcontroller the adboundtextpicker control has an embedded picker view that will be handled automatically by the adboundviewcontroller in a similar fashion as th onscreen keyboard if the field is covered by the picker it will be moved automatically to be shown and moved back when the picker is closed an accessory toolbar will be added to the picker that can be customized with the cancelbuttontext cancelbuttonimage donebuttontext and donebuttonimage properties of the adboundviewcontroller example swift given the following class class category addatatable enum categorytype string codable case local case web static var tablename categories static var primarykey id static var primarykeytype addatatablekeytype computedint var id 0 var added date var name var description var enabled true var highlightcolor uicolor white tohex var type categorytype local var icon data uiimage todata required init populate any control on the view with values from the data model let category category name swift file description a file containing swift source code do try setdatamodel category catch print failed to set data model read the vaules back from the controls do let category try getdatamodel category self print category description category description catch print unable to read data model the following bindable controls are available adboundlabel creates a label that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the label from or supply a formula in a sql like syntax adboundtextfield creates a text field that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the text field from or use a formula in a sql like syntax adboundslider creates a slider that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the slider s value from or use a formula in a sql like syntax adboundswitch creates a switch that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the switch from or a formula in a sql like syntax adboundprogressview creates a progress view that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the progress from or a formula in a sql like syntax adboundstepper creates a stepper that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the stepper s value from or a formula in a sql like syntax adboundimageview creates an image view that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the image view from or a formula in a sql like syntax adboundtextview creates a text view that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the text view from or a formula in a sql like syntax adboundwebview creates a web view that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to use as the url or the html data to display in the web view use the containshtml property to decide if the datapath contains a url or html data adboundsegmentedcontrol creates a segmented control that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to select the segment from or use a formula in a sql like syntax use the bytitle property to decide if the segment is selected by title or integer position adboundtextpicker creates a text field that can be bound to a value from a data model that conforms to the codable protocol when placed on a adboundviewcontroller view use the datapath property to specify the field from the bound data model to populate the text field from or use a formula in a sql like syntax includes a builtin picker control used to select the value from a list of available values a name action codable a action codable action codable controls provide support for several common databases and data formats such as sqlite json xml and cloudkit using swift 4 s new codable encodable and decodable protocols to move information between your data models and our portable adrecord and adrecordset formats with action codable and action data providers build your data model objects as simple struct or class objects and inherit from addatatable then use action controls to quickly create insert update delete and maintain the tables and records in the underlying data source for example swift import foundation import actionutilities import actiondata class category addatatable enum categorytype string codable case local case web static var tablename categories static var primarykey id static var primarykeytype addatatablekeytype computedint var id 0 var added date var name var description var enabled true var highlightcolor uicolor white tohex var type categorytype local var icon data uiimage todata required init this includes support for complex tables with nested objects arrays and dictionaries and complex relationships such as one to one one to many and many to many for example swift import foundation import actionutilities import actiondata struct address codable var addr1 var addr2 var city var state var zip class person addatatable static var tablename people static var primarykey id static var primarykeytype addatatablekeytype autouuidstring var id uuid uuidstring var firstname var lastname var addresses string address required init init firstname string lastname string addresses string address self firstname firstname self lastname lastname self addresses addresses class group addatatable static var tablename groups static var primarykey id static var primarykeytype addatatablekeytype autouuidstring var id uuid uuidstring var name var people adcrossreference person name peopleingroup leftkeyname groupid rightkeyname personid required init init name string people person self name name self people storage people a name swift portable object notation a swift portable object notation action codable also introduces support for the new swift portable object notation spon data format that allows complex data models to be encoded in a portable text string that encodes not only property keys and data but also includes type information about the encoded data for example using the address struct above swift obj address state tx city seabrook addr1 25 nasa rd 1 zip 77586 addr2 apt 123 the portable human readable string format encodes values with a single character type designator as follows bool int string float double embedded nsdata or data value additionally embedded arrays will be in the array format and embedded dictionaries in the obj type format a name action data providers a action data providers action data providers provide light weight low level access to several common databases and data formats such as sqlite json xml spon and cloudkit results are returned as a key value dictionary adrecord or as an array of key value dictionaries adrecordset for example swift let provider adsqliteprovider shared let record try provider query select from categories where id withparameters 1 print record name additionally action data providers provide high level object relationship management orm functionality using action codable controls and data models conforming to the addatatable protocol for example using the address person and group data models presented above swift let addr1 address addr1 po box 1234 addr2 city houston state tx zip 77012 let addr2 address addr1 25 nasa rd 1 addr2 apt 123 city seabrook state tx zip 77586 let p1 person firstname john lastname doe addresses home addr1 work addr2 let p2 person firstname sue lastname smith addresses home addr1 work addr2 let group group name employees people p1 p2 try provider save group creates the people group and peopleingroups sqlite database tables if required and inserts the new record instances with relationships into the database for example images intro01 png to retrieve the group from the database use the following swift let group try provider getrow oftype group self forprimarykeyvalue f6dec3cd da62 4a08 a2b6 272e62a7f6e3 the action data providers are designed to be interchangeable so you can start developing locally using a sqlite database and a adsqliteprovider then later switch to cloudkit and a adcloudkitprovider without have to change any of your other code additionally action data providers can be used to move data from one source to another for example download data from the web in json using a adjsonprovider and save it to a local sqlite database using a adsqliteprovider all with a minimal of code several of our action controls are designed to take an action data provider as input such as actiontable making it easy to work with complex data and common display and input methodologies that would typically require tons of repetitive boilerplate code a name action sql parser a action sql parser the adsqlparser provides the ability to parse text containing one or more sql commands into an action data sql document object model dom and is used to provide sql support for data sources that don t support sql natively such as cloudkit and json the adsqlparser uses sqlite s sql syntax and currently support a subset of the full sql language for example swift let sql create table if not exists parts part id integer primary key stock integer default 0 not null description text check description empty strings not allowed let instructions try adsqlparser parse sql print instructions a name more documentation and use examples a more documentation and use examples more documentation and usages examples are available on the appracatappra website under action data http appracatappra com products action data and in the action data developer center http appracatappra com developers action data developer et fb 1 pagespeed off | swift xcode icloud cloudkit sql sqlite codable data-binding | server |
xLibEsp8266Rtos3.1Mqtt | xmqttesp8266rtos3 1lib esp8266 rtos 3 1 esp32 https github com xuhongv xlibesp32rtos3 2mqtt v1 0 2019 04 10 v1 1 bug 2019 04 23 v2 0 api 2019 04 25 v2 1 2019 05 06 2018 esp idf rtos 3 0 10k esp8266 esp8266 mqtt demo qq 434878850 870189248 qq com esp8266 rtos3 1 esp32 rtos3 2 api esp8266 https github com xuhongv xlibesp8266rtos3 1mqtt esp32 https github com xuhongv xlibesp32rtos3 2mqtt p align center img src png header png width 950px height 680px alt banner p xmqtt config xmqttconfig mqttversion 4 borkerhost 193 112 51 78 borkerport 1883 mqttcommandtimeout 6000 username admin password xuhongv2019 clientid 521331497 id keepaliveinterval 60 cleansession true xmqttinit xmqttconfig xmqttreceivemsg xmqtt h taskxmqttrecieve taskmainmqtt xmqtt h strcpy char smsg topic mqtt data publish sprintf char smsg payload xmqttversion s freeheap d getxmqttversion esp get free heap size smsg payloadlen strlen char smsg payload smsg qos 1 smsg retained 0 smsg dup 0 xmqttpublicmsg smsg strcpy char rmsg topic mqtt data sublish rmsg qos 1 xmqttsubtopic rmsg xmqttconnectwifinotify xmqtt xmqttconnectwifinotify wifi connected wifi ap xmqttconnectwifinotify wifi disconnected wifi ap | os |
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meetup-web-components | meetup web components npm version https badge fury io js meetup web components svg https badge fury io js meetup web components main https github com meetup meetup web components actions workflows main yml badge svg https github com meetup meetup web components actions workflows main yml meetup library of react ui components for the web table of contents releases releases pro web pinned version pro web pinned version development beta release developmentbeta releases getting started getting started components components redux form components redux form components testing testing simulating interactions simulating interactions verifying child elements verifying child elements linting linting storybook storybook release notes https github com meetup meetup web components blob main changelog md component checklist this checklist can be used as a guide for adding components that are easy to reuse and maintain the categories come from a talk i saw elyse holladay https elyseholladay github io give at clarity conf 2017 easy to reason about it will be clear to other designers or engineers what problem the component solves and when to use it all properties options and variants are documented in storybook has unit tests provides logical defaults if there can be errors error states are designed and documented if the component has become complex it has been broken into smaller components context agnostic doesn t rely on a parent component to behave or look correctly doesn t have logic that controls functionality outside of itself e g if there is a button in the component it should take an event handler via props instead of assuming what the button is going to do works in supported browsers and devices design is accessible https meetup github io swarm design system design usability a11y for all users provides necessary aria information design won t cause issues with translation or internationalization https meetup github io swarm design system design usability i18n independent and isolated only affects itself defines itself and its styles only in one place ready to use out of the box in consumer apps or by other components releases this package uses semver versioning to tag releases although the patch version is determined exclusively by the travis build number for pushes to main major and minor versions are hard coded into the makefile makefile l2 manual pushes to main and pr merges to main will be built by travis and will kick off the yarn publish routine the currently published version of the package is shown on the repo homepage on github in a badge at the top of the readme pro web pinned version current pro version 6 2 0 pro web is not on the latest version of mwc that uses swarm ui instead the pro web version of mwc is based off a branch called pro web 6 x x it s manually published to npm as version 6 2 0 and is tagged as pro in the registry so all that is needed to install is yarn add meetup web components pro w if changes are needed for the pro web version do the following checkout commit push changes to the pro web 6 x x branch bump the version number in the package json file and commit push edit this readme to update the current version finally run npm publish tag pro as the meetupbot npm user development beta releases when developing a consumer application that requires changes to the platform code you can release a beta version of the platform on npm by opening a pr in the meetup web platform repo when it builds successfully a new beta version will be added to the list of available npm versions the generated version number is in the travis build logs which you can navigate to by clicking on show all checks in the box that says all checks have passed and then getting the details of the travis build img width 797 alt screen shot 2016 10 29 at 10 25 20 am src https cloud githubusercontent com assets 1885153 19822867 26d007dc 9dc2 11e6 8059 96d368411e78 png img width 685 alt screen shot 2016 10 29 at 10 25 29 am src https cloud githubusercontent com assets 1885153 19822869 28d1f432 9dc2 11e6 8157 3d381746f315 png at the bottom of the build log there is a line that echo s the git tag if you click the disclosure arrow the version number will be displayed e g 0 5 177 beta img width 343 alt screen shot 2016 10 29 at 10 25 59 am src https cloud githubusercontent com assets 1885153 19822874 312a9792 9dc2 11e6 97bc 62f61d252d4e png img width 418 alt screen shot 2016 10 29 at 10 26 06 am src https cloud githubusercontent com assets 1885153 19822876 34182e9c 9dc2 11e6 9901 c8e68591dc12 png you can then install this beta version into your consumer application with sh yarn add meetup web components version tag each time you push a change to your meetup web components pr you ll need to re install it with the new tag in your consumer application code the overall workflow is 1 open a pr for your meetup web components branch 2 wait for travis to successfully build your branch this can take 5 minutes 3 get the version string from the build logs under git tag 4 if needed push changes to your meetup web components branch 5 repeat steps 2 3 getting started you can generate the boilerplate files for react components using yarn run generate which invokes src utils generate js the command will prompt you for a type select from the list of options and a name it generates the following files in src componentname jsx component jsx module componentname test jsx component test script componentname story jsx storybook script components located in the src directory component files live alongside their corresponding test and story files filename casing conventions component files camelcase with a leading capital i e rsvptag jsx test files camelcase i e rsvptag test js story files camelcase i e rsvptag story jsx redux form components we use redux form https redux form com in our mup web app to help with validation flow redux form can use our form components just pass our mwc component to field as the component prop https redux form com 7 0 4 docs api field md code component component function string code required but we need to write wrappers to pass down the props from redux form field to our form components in meetup web components the job of the wrapper for each component is mostly just parsing out the meta input and other props from redux form and passing them on conventions you can find the wrapper classes in src forms redux form the files are named after the classes they wrap to avoid verbose file names ex forms togglepill jsx has a forms redux form togglepill jsx but the actual class name to import and displayname have reduxform in the name ex export class reduxformtogglepill we write wrappers as we need them so if you don t find one that you need please write it gotchas we ve run into a couple gotchas already redux form validates all fields on load and its hard to tell when the form is first rendered to avoid displaying errors right away we added some logic to read meta touched https redux form com 7 0 4 docs api field md code meta touched boolean code https github com meetup meetup web components pull 307 redux form s implementation of checkboxes give them values of true and false reduxformtogglepill wrappers handle this now by passing the input value prop down as isactive which sets checked on checkboxes https github com meetup meetup web components pull 310 we may need to do this for other checkbox radio component wrappers layout conventions the src directory contains layout helpers like section and chunk these are documented in storybook but a more detailed guide can be found here https meetup github io swarm design system design layout layoutbasics testing unit testing ui components is a little weird compared with unit testing business logic 1 you have to decide what aspects of a ui element are intrinsic to its appearance rather than just implementation details 2 ui elements evolve based on aesthetic tastes as much as functional requirements inflexible tests require a lot of maintenance 3 headless testing of browser dependent objects requires some extra tooling to simulate the target environment simulating interaction testutils simulate appears to work correctly for our testing setup it should be used for all tests that involve simulating events like onclick check out button test js for an example verifying child elements in ui testing there is an almost invisible line between testing the implementation markup and testing the behavior appearance content and ideally you only should test the behavior there are loads of ways to change markup without changing the fundamental app experience and those kinds of markup changes should not be considered bugs that result in failed tests the implication for constructing unit tests is that you should avoid relying on the specific markup tags and dom structure sometimes it s unavoidable but if you are inclined to use getelementsbytagname firstchild lastchild or a queryselector all that includes a tag name to access particular parts of the component ui check whether there is a better way to skip over the markup implementation details and grab what you want explicitly a useful option is to add a pcv classname to the element of interest and just use yourcomponentel queryselector specificclassname to find it classnames are free and dom independent which means that no matter what the markup is for your event name you can always unit test the behavior text content accurately with js good expect eventnode queryselector event name textcontent toequal testeventname bad assumes both tag h5 and structure first h5 in the card expect eventnode getelementsbytagname h5 0 textcontent toequal testeventname linting to manually lint your code run yarn run lint whitespace issues will be fixed automatically just remember to commit the changes other style issues will log errors our eslintrc configuration is based on the recommended preset with a number of additional rules that have been requested by the dev team it s a living standard however so please feel free to send prs with updates storybook before building any components it s helpful to know what related components have already been built into our foundation library we use react storybook https github com kadirahq react storybook to display components outside of the app context to open it run sh yarn install yarn run storybook and open the viewer at http localhost 9001 http localhost 9001 all of the available components are listed on the left and clicking on one will open it in the preview pane variants are also listed in the left column to show how different states affect the rendered component | web-platform | os |
hello-vue-django | hello vue django this is a boilerplate project for using vuejs with django features django backend in backend vuejs v2 frontend in frontend hot reload with vue loader eslint linter integration makefile to make your life easy development environment setup these steps will install all required dependencies including development ones run migrations and start dev server bash make dev make migrate make run deployment these steps will install production dependencies and build vuejs application to static dist folder bash make prod make build be aware for the sake of simplicity django config is contained within its own backend app in real world setting you would probably want to remove backend from installed apps create a new app and move backend views to it you probably want to create python virtual environment as well default python instance available will be used | blockchain nodejs minecraft | blockchain |
ECEN5813_PES_Project-1 | ecen5813 pes project 1 design an interactive command line utility of the type you might write to help with hardware bring up on an embedded system project | os |
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qiskit-machine-learning | qiskit machine learning license https img shields io github license qiskit qiskit machine learning svg style popout square https opensource org licenses apache 2 0 long description skip begin build status https github com qiskit community qiskit machine learning workflows machine 20learning 20unit 20tests badge svg branch main https github com qiskit community qiskit machine learning actions query workflow 3a machine 20learning 20unit 20tests branch 3amain event 3apush https img shields io github release qiskit qiskit machine learning svg style popout square https github com qiskit community qiskit machine learning releases https img shields io pypi dm qiskit machine learning svg style popout square https pypi org project qiskit machine learning coverage status https coveralls io repos github qiskit qiskit machine learning badge svg branch main https coveralls io github qiskit qiskit machine learning branch main long description skip end qiskit machine learning introduces fundamental computational building blocks such as quantum kernels and quantum neural networks used in different applications including classification and regression on the one hand this design is very easy to use and allows users to rapidly prototype a first model without deep quantum computing knowledge on the other hand qiskit machine learning is very flexible and users can easily extend it to support cutting edge quantum machine learning research qiskit machine learning provides the fidelityquantumkernel https qiskit org ecosystem machine learning stubs qiskit machine learning kernels quantumkernel html qiskit machine learning kernels fidelityquantumkernel class that makes use of the fidelity https qiskit org ecosystem algorithms stubs qiskit algorithms state fidelities basestatefidelity html algorithm introduced in qiskit and can be easily used to directly compute kernel matrices for given datasets or can be passed to a quantum support vector classifier qsvc https qiskit org ecosystem machine learning stubs qiskit machine learning algorithms qsvc html qiskit machine learning algorithms qsvc or quantum support vector regressor qsvr https qiskit org ecosystem machine learning stubs qiskit machine learning algorithms qsvr html qiskit machine learning algorithms qsvr to quickly start solving classification or regression problems it also can be used with many other existing kernel based machine learning algorithms from established classical frameworks qiskit machine learning defines a generic interface for neural networks that is implemented by different quantum neural networks two core implementations are readily provided such as the estimatorqnn https qiskit org ecosystem machine learning stubs qiskit machine learning neural networks estimatorqnn html and the samplerqnn https qiskit org ecosystem machine learning stubs qiskit machine learning neural networks samplerqnn html the estimatorqnn https qiskit org ecosystem machine learning stubs qiskit machine learning neural networks estimatorqnn html leverages the estimator https qiskit org documentation stubs qiskit primitives baseestimator html primitive from qiskit and allows users to combine parametrized quantum circuits with quantum mechanical observables the circuits can be constructed using for example building blocks from qiskit s circuit library and the qnn s output is given by the expected value of the observable the samplerqnn https qiskit org ecosystem machine learning stubs qiskit machine learning neural networks samplerqnn html leverages another primitive introduced in qiskit the sampler https qiskit org documentation stubs qiskit primitives basesampler html primitive this neural network translates quasi probabilities of bitstrings estimated by the primitive into a desired output this translation step can be used to interpret a given bitstring in a particular context e g translating it into a set of classes the neural networks include the functionality to evaluate them for a given input as well as to compute the corresponding gradients which is important for efficient training to train and use neural networks qiskit machine learning provides a variety of learning algorithms such as the neuralnetworkclassifier https qiskit org ecosystem machine learning stubs qiskit machine learning algorithms neuralnetworkclassifier html qiskit machine learning algorithms neuralnetworkclassifier and neuralnetworkregressor https qiskit org ecosystem machine learning stubs qiskit machine learning algorithms neuralnetworkregressor html qiskit machine learning algorithms neuralnetworkregressor both take a qnn as input and then use it in a classification or regression context to allow an easy start two convenience implementations are provided the variational quantum classifier vqc https qiskit org ecosystem machine learning stubs qiskit machine learning algorithms vqc html qiskit machine learning algorithms vqc as well as the variational quantum regressor vqr https qiskit org ecosystem machine learning stubs qiskit machine learning algorithms vqr html qiskit machine learning algorithms vqr both take just a feature map and an ansatz and construct the underlying qnn automatically in addition to the models provided directly in qiskit machine learning it has the torchconnector https qiskit org ecosystem machine learning stubs qiskit machine learning connectors torchconnector html qiskit machine learning connectors torchconnector which allows users to integrate all of our quantum neural networks directly into the pytorch https pytorch org open source machine learning library thanks to qiskit s gradient algorithms this includes automatic differentiation the overall gradients computed by pytorch https pytorch org during the backpropagation take into account quantum neural networks too the flexible design also allows the building of connectors to other packages in the future installation we encourage installing qiskit machine learning via the pip tool a python package manager bash pip install qiskit machine learning pip will handle all dependencies automatically and you will always install the latest and well tested version if you want to work on the very latest work in progress versions either to try features ahead of their official release or if you want to contribute to machine learning then you can install from source to do this follow the instructions in the documentation https qiskit org ecosystem machine learning getting started html installation optional installs pytorch may be installed either using command pip install qiskit machine learning torch to install the package or refer to pytorch getting started https pytorch org get started locally when pytorch is installed the torchconnector facilitates its use of quantum computed networks sparse may be installed using command pip install qiskit machine learning sparse to install the package sparse being installed will enable the usage of sparse arrays tensors creating your first machine learning programming experiment in qiskit now that qiskit machine learning is installed it s time to begin working with the machine learning module let s try an experiment using vqc variational quantum classifier algorithm to train and test samples from a data set to see how accurately the test set can be classified python from qiskit circuit library import twolocal zzfeaturemap from qiskit algorithms optimizers import cobyla from qiskit algorithms utils import algorithm globals from qiskit machine learning algorithms import vqc from qiskit machine learning datasets import ad hoc data seed 1376 algorithm globals random seed seed use ad hoc data set for training and test data feature dim 2 dimension of each data point training size 20 test size 10 training features training labels test features test labels as np ndarray one hot encoding for labels training features training labels test features test labels ad hoc data training size training size test size test size n feature dim gap 0 3 feature map zzfeaturemap feature dimension feature dim reps 2 entanglement linear ansatz twolocal feature map num qubits ry rz cz reps 3 vqc vqc feature map feature map ansatz ansatz optimizer cobyla maxiter 100 vqc fit training features training labels score vqc score test features test labels print f testing accuracy score 0 2f further examples learning path notebooks may be found in the machine learning tutorials https qiskit org ecosystem machine learning tutorials index html section of the documentation and are a great place to start another good place to learn the fundamentals of quantum machine learning is the quantum machine learning https learn qiskit org course machine learning introduction course on the qiskit textbook s website the course is very convenient for beginners who are eager to learn quantum machine learning from scratch as well as understand the background and theory behind algorithms in qiskit machine learning the course covers a variety of topics to build understanding of parameterized circuits data encoding variational algorithms etc and in the end the ultimate goal of machine learning how to build and train quantum ml models for supervised and unsupervised learning the textbook course is complementary to the tutorials of this module where the tutorials focus on actual qiskit machine learning algorithms the course more explains and details underlying fundamentals of quantum machine learning contribution guidelines if you d like to contribute to qiskit please take a look at our contribution guidelines https github com qiskit community qiskit machine learning blob main contributing md this project adheres to qiskit s code of conduct https github com qiskit community qiskit machine learning blob main code of conduct md by participating you are expected to uphold this code we use github issues https github com qiskit community qiskit machine learning issues for tracking requests and bugs please join the qiskit slack community https qisk it join slack and for discussion and simple questions for questions that are more suited for a forum we use the qiskit tag in stack overflow https stackoverflow com questions tagged qiskit authors and citation machine learning was inspired authored and brought about by the collective work of a team of researchers machine learning continues to grow with the help and work of many people https github com qiskit community qiskit machine learning graphs contributors who contribute to the project at different levels if you use qiskit please cite as per the provided bibtex file https github com qiskit qiskit blob main citation bib license this project uses the apache license 2 0 https github com qiskit community qiskit machine learning blob main license txt | qiskit | ai |
Recommendation-systems-with-LLMs | recommendation systems with llms enhancing recommendation systems with large language models | ai |
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M7M1_MuEukaron | h1 align center img width 300 src https raw githubusercontent com edi systems m7m1 mueukaron master documents demo logo png alt logo h1 unity os rme readme cn md ensp ensp ensp ensp rme is a general purpose operating system which focuses on many advanced features this operating system support many advanced features not found in any other oses e g freertos rt thread or vxworks on multiple cores it is as scalable as the linux kernel when using the system the best way is to pull ready made ports and even binaries from the repository rather than to port or configure by yourself the advanced features that are intrinsic to this operating system includes capability https en wikipedia org wiki capability based security based mutable protection domains massive scalability https en wikipedia org wiki scalability and parallelism https en wikipedia org wiki parallel computing fault tolerance https en wikipedia org wiki fault tolerance and attack resilience https en wikipedia org wiki resilience network user level hierachical scheduling https en wikipedia org wiki hierarchical control system full virtualization https en wikipedia org wiki full virtualization and container https en wikipedia org wiki operating system level virtualization based paravirtualization https en wikipedia org wiki paravirtualization non volatile memory nvm https en wikipedia org wiki non volatile memory based systems real time multi core mixed criticality https en wikipedia org wiki mixed criticality systems and so on ensp ensp ensp ensp the manual of the operating system can be found here https github com edi systems m5p1 muprokaron blob master documents m7m1 microkernel rtos user manual pdf ensp ensp ensp ensp read contributing contributing md and code of conduct code of conduct md if you want to contribute and pull request template pull request template md when you make pull requests this software is triple licensed it is either lgpl v3 license md or modified mit license modmit md commercial licenses are also available upon request ensp ensp ensp ensp for vendor supplied packages and hardware abstraction libraries please refer to the m0p0 library https github com edi systems m0p0 library repo to download and use them properly introduction to capability based multi core systems what are capabilities ensp ensp ensp ensp capabilities were a kind of certificate initially introduced into multi user computer systems to control access permissions it is an unforgeable token that points to some resource and carries the power to allow operations to the object in some sense the unix file descriptor can be treated as a type of capability the windows access permissions can also be viewed as a type of capability generally speaking capabilities are fat pointers that points to some resources we guarantee the safety of the system by the three rules capabilities cannot be modified at user level capabilities can only be transfered between different processes with well defined interfaces capabilities will only be given to processes that can operate on the corresponding resources why do we need capability based systems ensp ensp ensp ensp the idea of capability is nothing new thousands of years ago kings and emperors have made dedicated tokens for their generals to command a specific branch or group of their army usually these tokens will contain unforgeable or at least very difficult to fake alphabets or characters indicating what powers the general should have and which army can they command thus safely handing the army commanding duty off to the generals in the same sense capability based systems can provide a very fine grain of resource management in a very elegant way by exporting policy through combinations of different capabilities to the user level capability based systems reach a much greater level of flexibity when compared to traditional unix systems additional benefits include increased isolation fault confinement and ease of formal analysis wouldn t the microkernel design harm system execution efficiency ensp ensp ensp ensp short answer no ensp ensp ensp ensp long answer if designed carefully and used correctly especially the communication mechanisms it would instead greatly boost performance in multiple aspects because the fast paths are much more aggressively optimized now for example on some architectures the context switch performance and interrupt response performance can be up to 40x better than rt linux when user level library overheads are also included the result is still 25x better than rt linux how is it possible that the system is lock free ensp ensp ensp ensp this is made possible by extensively applying lock free data structures and atomic operations for more information please refer to this article https www cs tau ac il shanir concurrent data structures pdf available system components ensp ensp ensp ensp all available components are listed below if a github link is provided the component is available for now rvm https github com edi systems m7m2 muammonite which is a microcontroller oriented virtual machine monitor capable of running multiple mcu applications or operating systems simutaneously scales up to 64 virtual machines on 1mb on chip sram rvm lib https github com edi systems m7m2 muammonite the microcontroller oriented user level library for rme rvm rmp https github com edi systems m5p1 muprokaron a port of the simplistic rmp on rvm with all functionalities retained rvm freertos https github com edi systems freertos a port of the widely used freertos https www freertos org to rvm rvm rt thread https github com edi systems rt thread a port of the promising rt thread https www rt thread org to rvm with all frameworks retained rvm ucosiii https github com edi systems ucosiii a port of the famous uc os iii https www micrium com to rvm you should have a commercial license to use this port rvm micropython https github com edi systems micropython a port of the popular micropython https micropython org to rvm rvm lua https github com edi systems lua a port of the easy to use lua https www lua org language to rvm rvm duktape https github com edi systems duktape a port of the emerging javascript https github com svaarala duktape language to rvm rvm essentials https github com edi systems m5p1 muprokaron a port of lwip https savannah nongnu org projects lwip fatfs http elm chan org fsw ff 00index e html and emwin https www segger com products user interface emwin to rvm all packed in one rmp https github com edi systems m5p1 muprokaron virtual machine be sure to obtain license to use these softwares uvm which is a multi core processor oriented virtual machine monitor capable of supporting full virtualization and container based virtualization with unprecedented performance uvm lib the microprocessor oriented user level library for rme uvm fv the full virtualization platform constructed with uvm which comes with similar functionalities as virtual box list of system calls system call number description rme svc inv ret 0 return from an invocation rme svc inv act 1 activate the invocation rme svc sig snd 2 send to a signal endpoint rme svc sig rcv 3 receive from a signal endpoint rme svc kern 4 call a kernel function rme svc thd sched prio 5 changing thread priority rme svc thd sched free 6 free a thread from some core rme svc thd time xfer 7 transfer time to a thread rme svc thd swt 8 switch to another thread rme svc captbl crt 9 create a capability table rme svc captbl del 10 delete a capability table rme svc captbl frz 11 freeze a capability rme svc captbl add 12 delegate a capability rme svc captbl rem 13 remove a capability rme svc pgtbl crt 14 create a page table rme svc pgtbl del 15 delete a page table rme svc pgtbl add 16 add a page to a page table rme svc pgtbl rem 17 remove a page from a page table rme svc pgtbl con 18 construct a page table into another rme svc pgtbl des 19 destruct a page table into another rme svc proc crt 20 create a process rme svc proc del 21 delete a process rme svc proc cpt 22 change a process s capability table rme svc proc pgt 23 change a process s page table rme svc thd crt 24 create a thread rme svc thd del 25 delete a thread rme svc thd exec set 26 set entry and stack of a thread rme svc thd hyp set 27 set hyprivisor attributes of a thread rme svc thd sched bind 28 bind a thread to the current processor rme svc thd sched rcv 29 try to receive scheduling notifications rme svc sig crt 30 create a signal endpoint rme svc sig del 31 delete a signal endpoint rme svc inv crt 32 create a synchronous invocation port rme svc inv del 33 delete a synchronous invocation port rme svc inv set 34 set entry and stack of a synchronous invocation port typical performance figures for all supported architectures single core microcontrollers machine toolchain flash sram yield asnd1 asnd2 sinv sret isnd cortex m4 keil uvision 5 cortex m7 keil uvision 5 cortex r4 ti ccs7 cortex r5 ti ccs7 mips m14k xc32 gcc cortex r4 and cortex r5 are listed here as single core architectures because their main selling point is cpu redundancy thus from the viewpoint of the programmer they behave as if they have only one core dual core mode of these two processors are not supported ensp ensp ensp ensp flash and sram consumption is calculated in kb while the other figures are calculated in cpu clock cycles all values listed here are typical useful system values not minimum values because minimum values on system size seldom make any real sense hal library are also included in the size numbers the absolute minimum value for microcontroller profile rme is about 32k rom 16k ram cortex m4 gcc cortex m7 gcc cortex r4 gcc cortex m4 is evaluated with stm32f405rgt6 cortex m7 is evaluated with stm32f767igt6 cortex r4 is evaluated with tms570ls0432 cortex r5 is evaluated with tms570lc4357 mips m14k is evaluated with pic32mzefm100 multi core microcontrollers machine toolchain flash sram yield asnd1 asnd2 sinv sret isnd cortex r7 tbd cortex r8 tbd tms320c66x ti ccs7 ensp ensp ensp ensp flash and sram consumption is calculated in kb while the other figures are calculated in cpu clock cycles hal library are also included in the size numbers the absolute minimum value for mpu based microprocessor profile rme is about 64k rom 32k ram cortex r7 is evaluated with tbd cortex r8 is evaluated with tbd tms320c66x is evaluated with tms320c6678 multi core application processors aka desktop server processors machine toolchain text data yield asnd1 asnd2 sinv sret isnd cortex a7 x4 gcc cortex a53 x4 gcc x86 64 i x18 gcc x86 64 ni x32 gcc x86 64 a x16 gcc ensp ensp ensp ensp ram consumption is calculated in mb while the other figures are calculated in cpu clock cycles necessary software packages and drivers are also included in the size numbers the absolute minimum value for application processor profile rme is about 4mb ram cortex a7 is evaluated with bcm2836 the exact chip used on raspberry pi 2 cortex a53 is evaluated with bcm2837 the exact chip used on raspberry pi 3 x86 64 i is evaluated with a machine with 1x i9 7980xe processor and 128gb memory x86 64 ni is evaluated with a machine with 4x xeon x7560 processor and 4x8gb memory x86 64 a is evaluated with a machine with ryzen 1950x processor and 128gb memory ensp ensp ensp ensp in the 3 tables above all compiler options are the highest optimization usually o3 and optimized for time yield the time to yield between different threads asnd1 intra process asynchronous send asnd2 inter process asynchronous send sinv synchronous invocation entering time sret synchronous invocation returning time isnd interrupt asynchronous send time getting started ensp ensp ensp ensp these instructions will get you a copy of the project up and running on your local machine for development and testing purposes see deployment for notes on how to deploy the project on a live system prerequisites ensp ensp ensp ensp you need to choose a hardware platform listed above to run the tests this general purpose os focuses on high performance mcu and cpus and do not concentrate on lower end mcus or legacy mpus do not use qemu simulator to test the projects because they do not behave correctly in many scenarios ensp ensp ensp ensp if you do not have a standalone software platform you can also use vmms such as vmware and virtual box to try out the x86 64 iso image ensp ensp ensp ensp other platform supports should be simple to implement however they are not scheduled yet for cortex m or 16 bit microcontrollers go m5p1 muprokaron https github com edi systems m5p1 muprokaron real time kernel instead m5p1 supports all cortex ms and some cortex rs though without memory protection support compilation for mcus ensp ensp ensp ensp the vendor toolchain or gnu makefile projects for various microcontrollers are available in the project folder refer to the readme files in each folder for specific instructions about how to run them however keep in mind that some examples may need vendor specific libraries such as the stm hal some additional drivers may be required too for application processors ensp ensp ensp ensp only gnu makefile projects will be provided and only gcc is supported at the moment other compilers may also be supported as long as it conforms to the gcc conventions running the tests for mcus ensp ensp ensp ensp to run the sample programs simply download them into the development board and start step by step debugging all hardware the example will use is the serial port and it is configured for you in the example for application processors ensp ensp ensp ensp the boot sequence is different for different processors for x86 64 architecture grub is used as the bootloader and you can boot the system with precompiled livecd iso just like how you would install any operating system ubuntu linux or windows for other architectures deployment for mcus ensp ensp ensp ensp when deploying this into a production system it is recommended that you read the manual in the documents folder carefully to configure all options correctly it is not recommended to configure the kernel yourself anyway it included too many details please use the default configuration file as much as possible also read the user guide for the specific platform you are using for application processors ensp ensp ensp ensp deploy it as if you are deploying any other operating system or bare metal hypervisor built with keil uvision 5 armcc code composer studio gcc clang llvm ensp ensp ensp ensp other toolchains are neither recommended nor supported at this point though it might be possible to support them later on contributing ensp ensp ensp ensp please read contributing md contributing md for details on our code of conduct and the process for submitting pull requests to us ensp ensp ensp ensp we wish to thank the developers of composite https github com gwsystems composite system which is developed at george washington university and we also wish to thank the developers of fiasco oc https os inf tu dresden de fiasco system which is developed at tu dresden edi project information ensp ensp ensp ensp mutate mesazoa eukaron m7m1 r3t1 | os |
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db-capstone-project | db capstone project capstone project for database engineering coursera | server |
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