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Name: Yongsheng Mei
Type: User
Company: The George Washington University
Bio: Ph.D. Candidate at Geroge Washington University
Location: Washington, DC
Blog: ysmei.page
Name: Yongsheng Mei
Type: User
Company: The George Washington University
Bio: Ph.D. Candidate at Geroge Washington University
Location: Washington, DC
Blog: ysmei.page
Bayesian optimization in PyTorch
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
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
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Code: "Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data"
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Code for the paper "A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions", ECAI, 2023
Code for the paper "MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization", AAMAS, 2023.
Code for the paper "MPD: Moving Target Defense through Communication Protocol Dialects", SecureComm, 2021
Code for the paper "Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation", ICML workshop ML4MHD, 2023
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
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
Code: "Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning"
A modular RL library to fine-tune language models to human preferences
Implementation of Transformer Model in Tensorflow
Homepage: Yongsheng Mei
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.