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Data Compression using Arithmetic Encoding in Python
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
大麦网抢票脚本
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
A toolkit for developing and comparing reinforcement learning algorithms.
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
hanabi_learning_environment is a research platform for Hanabi experiments.
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
PyTorch code and models for the DINOv2 self-supervised learning method.
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Codes for RSAC-AE, SAC-AE and SAC-AO
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
[NeurIPS 2020 Spotlight] State-adversarial DDPG for robust deep reinforcement learning
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
Code repository for SARNet (NeurIPS 2020)
SMAC: The StarCraft Multi-Agent Challenge
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
An elegant PyTorch deep reinforcement learning platform.
A Library for Advanced Deep Time Series Models.
Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.