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Repository for activities of the machine learning committee
This project forked from imaginginformatics/machine-learning
Repository for activities of the machine learning committee
Welcome to the git repository of the Machine Learning Comittee of SIIM. Under the machine-learning umbrella, you will find submodules of code comitted by individuals who are willing to share their code with SIIM. By convention, the Commitee is encouraging participants to base their code on Dockers to make it easy to contribute, download, run and modify Thanks to Dr. George Shih MD for kicking off this effort with his Docker that build the Keras deep learning framework on top of TensorFLow. Each code contributor is asked to bundle all relevent documentation to their Docker in thier commit. The Documentaion folder is reserved for HOWTO's relevent to the entire project Documentation Index of HOWTOs ------------------------------------- HOWTO 1: Get and run an Existing Docker HOWTO 2: Modify Existing DOckers HOWTO 3: Guidelines for code submitters HOWTO 4: Suggested public data sets for machine learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
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Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.