A library of reinforcement learning components and agents

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

This repository contains implementations and illustrative code to accompany DeepMind publications

Normalizing flows in PyTorch. Current intended use is education not production.

BabyAI platform. A testbed for training agents to understand and execute language commands.

GPT-2 User Interface based on HuggingFace's Pytorch Implementation

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Mesh TensorFlow: Model Parallelism Made Easier

An attention-based CNN-LSTM model that generates and explains Chest X-ray diagnostics using Natural Language

StarCraft II Learning Environment

A curated list of deep learning image classification papers and codes

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Differentiable rendering without approximation.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Python package for compiling and analyzing quantum algorithms to simulate electronic structures.

Multi-dimensional LSTM implementation in TensorFlow

Models and examples built with TensorFlow

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

A customisable 3D platform for agent-based AI research

Python Implementation of Reinforcement Learning: An Introduction

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

Source-to-Source Debuggable Derivatives in Pure Python

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Convolutional Neural Network for Text Classification in Tensorflow

A curated list of awesome awesomeness

A topic-centric list of HQ open datasets.