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A curated list of awesome Machine Learning frameworks, libraries and software.
A collection of well-commented code snippits for data science
A simple GBDT in Python
Machine Learning / Natural Language Processing / Information Retrieval
Implementation of various topic models
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
A real example on erial read and write
A multithreaded Micro-blog crawler
sns influence analysis
协同翻译: 谷歌全新开源人工智能系统TensorFlow官方文档,官网地址: http://tensorflow.org/
A simple short-text classification tool based on LibLinear
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Automatically exported from code.google.com/p/tmsvm
lecture notes for probabilistic topic models using ipython notebook
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.