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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lab

A customisable 3D platform for agent-based AI research

lane-finding-for-self-driving-car-nd

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

observations

Tools for loading standard data sets in machine learning

ordered-neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

post--augmented-rnns

Attention and Augmented Recurrent Neural Networks

pygcn

Graph Convolutional Networks in PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-beginner

pytorch tutorial for beginners

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

roboschool

Open-source software for robot simulation, integrated with OpenAI Gym.

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-mnist-gan-dcgan

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

udacity-drl-collab-compet

udacity-drl-continuouscontrol

udacity-drl-navigation

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)