Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016

A python binding for crfsuite

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine le…

Neural Network Toolbox on TensorFlow

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Pandas integration with sklearn

A curated list of awesome Python frameworks, libraries, software and resources

Residual networks implementation using Keras-1.0 functional API

The Numenta Anomaly Benchmark

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

Computation using data flow graphs for scalable machine learning

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic …

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

MIT Deep Learning Book in PDF format

Deep Learning Tutorial notes and code. See the wiki for more info.

谷歌全新开源人工智能系统TensorFlow官方文档中文版

Code for the Kaggle Ensembling Guide Article on MLWave

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

Simplified interface for TensorFlow (mimicking Scikit Learn)

A curated list of awesome awesomeness