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Junyi Zhang
Junyi42
CS Ph.D. Student @BAIR, B.Eng. @SJTU-CSE.
Computer vision and deep generative models.
Working with @google-research. Prev. @MVIG-SJTU, @microsoft Research
Horace He
Chillee
PyTorch Intern 2019
Compilers intern 2018 @google
Maintainer of @VSCodeVim
Cornell CS/Math 2020
Mark Saroufim
msaroufim
CUDA uninЇsțållåțîön fāīłüřęđ. Płēȃšę čøñțàçț șūppørt før åššīštåñćē
@PyTorch The Matrix
Lei Wang
LeiWang1999
I love everything and create value.
Institute of Computing Technology, UCAS Peking
Hongzheng Chen
chhzh123
Compiler for large-scale heterogeneous computing systems
Cornell University Ithaca, NY
DefTruth
DefTruth
🤖LLM | VLM | Diffusion | CUDA | AI Infra
Statistics Department of JNU Guangzhou, China
Philip Levis
phil-levis
Associate professor who wishes he spent more time making pull requests.
Stanford University Stanford, CA
Omar Khattab
okhat
Incoming Asst Professor at MIT EECS (Fall 2025). Computer Science PhD candidate @ Stanford NLP. Research Scientist at Databricks. Author of ColBERT and DSPy.
Stanford, CA
Haotian (Ken) Tang
kentang-mit
Ph.D. student at MIT | NVIDIA | Waymo | OmniML
Cambridge, Massachusetts, United States
Song
songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.
MIT, NVIDIA
Efficient-Large-Model
Researchers from NVIDIA and MIT working on GPU accelerated efficient AI computing
United States of America
Ying Sheng
Ying1123
Large Language Models, Machine Learning Systems, Formal Verification, Automated Reasoning.
Patrick Loeber
patrickloeber
I create free content about Python and AI on YouTube and my website • YouTube 250K+ • Developer Advocate at @AssemblyAI
@AssemblyAI