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Yongsheng Mei's Projects

classifier-free-guidance-pytorch icon classifier-free-guidance-pytorch

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models

corl icon corl

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

gaussian_cox_bo icon gaussian_cox_bo

Code: "Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data"

imagen-pytorch icon imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

local_bo icon local_bo

Code for the paper "A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions", ECAI, 2023

mac-po icon mac-po

Code for the paper "MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization", AAMAS, 2023.

mpd icon mpd

Code for the paper "MPD: Moving Target Defense through Communication Protocol Dialects", SecureComm, 2021

multimodal_pci_mask icon multimodal_pci_mask

Code for the paper "Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation", ICML workshop ML4MHD, 2023

pymarl2 icon pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

qpro icon qpro

Code: "Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning"

rl4lms icon rl4lms

A modular RL library to fine-tune language models to human preferences

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