Models and examples built with TensorFlow

Deep Learning for humans

A toolkit for developing and comparing reinforcement learning algorithms.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

instant coding answers via the command line

Audio fingerprinting and recognition in Python

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

Deep Reinforcement Learning for Keras.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Lightweight library to build and train neural networks in Theano

Deep Convolutional Generative Adversarial Networks

Fast R-CNN

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

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

A Pythonic wrapper for the Wikipedia API

How to get free wifi.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Large-scale linear classification, regression and ranking in Python

Painlessly create beautiful matplotlib plots.

A python library for implementing a recommender system

Question answering dataset featured in "Teaching Machines to Read and Comprehend

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

A Theano framework for building and training neural networks

Theano-based implementation of Deep Q-learning

fastFM: A Library for Factorization Machines

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Efficient Batched Reinforcement Learning in TensorFlow