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A curated list of awesome Machine Learning frameworks, libraries and software.
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
记录小润学习的深度学习例子,首先是 TensorFlow 和 Keras 框架,之后再补充 Theano/Torch
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
记录小润学习的主流机器学习算法
《learning python》中文第四版的学习笔记,由纸值文档转换而来
PyTorch Tutorial for Deep Learning Researchers
scikit-learn: machine learning in Python
scikit-learn机器学习库中文文档翻译项目
Computation using data flow graphs for scalable machine learning
TensorLayer: Deep Learning and Reinforcement Learning Library for TensorFlow.
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.