ysmei97
Ph.D. Candidate at Geroge Washington University
The George Washington UniversityWashington, DC
Pinned Repositories
botorch
Bayesian optimization in PyTorch
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
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
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
gaussian_cox_bo
Code: "Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data"
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
local_bo
Code for the paper "A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions", ECAI, 2023
MAC-PO
Code for the paper "MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization", AAMAS, 2023.
MPD
Code for the paper "MPD: Moving Target Defense through Communication Protocol Dialects", SecureComm, 2021
multimodal_pci_mask
Code for the paper "Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation", ICML workshop ML4MHD, 2023
ysmei97's Repositories
ysmei97/gaussian_cox_bo
Code: "Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data"
ysmei97/local_bo
Code for the paper "A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions", ECAI, 2023
ysmei97/multimodal_pci_mask
Code for the paper "Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation", ICML workshop ML4MHD, 2023
ysmei97/botorch
Bayesian optimization in PyTorch
ysmei97/classifier-free-guidance-pytorch
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
ysmei97/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
ysmei97/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
ysmei97/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
ysmei97/MAC-PO
Code for the paper "MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization", AAMAS, 2023.
ysmei97/MPD
Code for the paper "MPD: Moving Target Defense through Communication Protocol Dialects", SecureComm, 2021
ysmei97/pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
ysmei97/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
ysmei97/QPro
Code: "Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning"
ysmei97/RL4LMs
A modular RL library to fine-tune language models to human preferences
ysmei97/transformer-tensorflow
Implementation of Transformer Model in Tensorflow
ysmei97/ysmei97.github.io
Homepage: Yongsheng Mei