Bo Zhou's Projects
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Must-read papers on graph neural networks (GNN)
Linux工具快速教程
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
An implementation of multi-agent TD3 with paddlepaddle and parl
Model configurations
Implementation of TRPO and related algorithms
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Reinforcement learning environments with musculoskeletal models
PArallel Distributed Deep LEarning
a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
A high-performance distributed training framework for Reinforcement Learning
A system for parallel and distributed Python that unifies the ML ecosystem.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Computation using data flow graphs for scalable machine learning
Using the tensorgo API for TensorFlow Async Model Parallel
A Neural Net Training Interface on TensorFlow
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Configuration of vim