An opinionated list of awesome Python frameworks, libraries, software and resources.

Command-line program to download videos from YouTube.com and other video sites

Models and examples built with TensorFlow

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

Deep Learning for humans

scikit-learn: machine learning in Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A toolkit for developing and comparing reinforcement learning algorithms.

Zipline, a Pythonic Algorithmic Trading Library

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

NumPy aware dynamic Python compiler using LLVM

A community driven list of useful Scala libraries, frameworks and software.

Keras code and weights files for popular deep learning models.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Deep Reinforcement Learning for Keras.

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

DeepVis Toolbox

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Warning: This project does not have any current developer. See bellow.

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Text to image synthesis using thought vectors

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

python interface to julia

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

Asynchronous Methods for Deep Reinforcement Learning

Implementation of a Variational Auto-Encoder in Theano

pandas, scikit-learn, xgboost and seaborn integration

S&P 500 index data (aka Standard and Poor's index of 500 major US stocks)