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cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

codeforces

deep-rl-collection

gnnpapers

Must-read papers on graph neural networks (GNN)

linuxtools_rst

Linux工具快速教程

maskrcnn-benchmark

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

matd3

An implementation of multi-agent TD3 with paddlepaddle and parl

models

Model configurations

modular_rl

Implementation of TRPO and related algorithms

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

osim-rl

Reinforcement learning environments with musculoskeletal models

paddle

PArallel Distributed Deep LEarning

palm

a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.

parl

A high-performance distributed training framework for Reinforcement Learning

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

rllab

storeroom

swift

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorgo

Using the tensorgo API for TensorFlow Async Model Parallel

tensorpack

A Neural Net Training Interface on TensorFlow

tomorrowisanotherday

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

vim

Configuration of vim