A framework for single/multi-objective optimization with metaheuristics

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Implementation of Graph Convolutional Networks in TensorFlow

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

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

Traffic simulation project for dissertation

A Platform for Many-agent Reinforcement Learning

This project is for learning and researching on Deep RL. Maintained by University AI researchers.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Paper list of multi-agent reinforcement learning (MARL)

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.

PyTorch implementations of Generative Adversarial Networks.

TensorFlow Neural Machine Translation Tutorial

A course in reinforcement learning in the wild

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

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

An open-source implementation of the AlphaGoZero algorithm

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience re…

A customisable 3D platform for agent-based AI research

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

Web-based 3D visualization of SUMO microsimulations using TraCI and three.js.

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)