Yuxiang Wang's Projects
生物繁衍模拟器
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
An index of recommendation algorithms that are based on Graph Neural Networks.
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Examples for the usage of LaTeX
Unity Machine Learning Agents Toolkit
pinsage for wine recommendation
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A Python implementation of the Louvain method to find communities in large networks
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
强化学习常见算法的实现,Q-Learning/DQN/PG/AC/DDPG/PPO/SAC
Simulation-based inference toolkit
reinforcement learning from randomized simulations
Structural Entropy algorithm in Python
Stein Variance Policy Gradients Algorithm Pytorch implementation