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awesome-awesomeness

A curated list of awesome awesomeness

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awesome-python

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

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

crfsuite

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

cs231n

cs61a_homework

deep-learning-papers

deeplearning

Deep learning code by Hinton

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningprojectworkflow

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

deeplearningtutorials

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

dive-into-machine-learning

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

featureforge

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

jianzhioffer

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

keras

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

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-resources

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

keras-toys

learning deep learning by playing with toys

lightgbm

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 learning tasks.

machinelearning

Literature Study

machinelearning-1

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

mxnet

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

nab

The Numenta Anomaly Benchmark

papers-we-love

Papers from the computer science community to read and discuss.

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

python-crfsuite

A python binding for crfsuite

reinforcement-learning

Implementing exercises from Reinforcement Learning: An Introduction