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@patrick-kidger
Patrick Kidger patrick-kidger
ML+proteins, sciML, numerics, neural ODEs ╱ building 'scipy w/ autodiff+GPU' in JAX: Equinox, Diffrax, Lineax, etc ╱ solo traveller, martial artist, scuba diver

Cradle.bio Zürich

@zdxdsw
zdxdsw
PhD in Language Technologies | LTI@CMU

Carnegie Mellon University Pittsburgh, PA

@explanare
Jing Huang explanare

Stanford University

@gpu-mode
GPU MODE gpu-mode
Your favorite GPU reading group https://discord.gg/gpumode
@MadryLab
Madry Lab MadryLab
Towards a Principled Science of Deep Learning

MIT

@sung-max
Sam Park sung-max
Machine learning PhD student at MIT

MIT CSAIL

@rmcelreath
Richard McElreath rmcelreath

Max Planck Institute for Evolutionary Anthropology Leipzig, Germany

@andrewilyas
Andrew Ilyas andrewilyas
PhD student studying Machine Learning at MIT.
@MinishLab
Minish MinishLab
Solving big problems with small models
@JonasGeiping
Jonas Geiping JonasGeiping
Safety & Efficiency in Machine Learning

ELLIS Institute & MPI-IS Tübingen Tübingen AI Center, Germany

@haizelabs
Haize Labs haizelabs
build ai systems you can trust.

United States of America

@davidbau
David Bau davidbau
Northeastern professor in machine learning, interpretable deep networks, NLP and vision, ex-Googler. Believes that deep learning should be transparent.

Northeastern University Boston

@leonardtang
Leonard Tang leonardtang
just havin fun @haizelabs

@haizelabs nyc baby

@neelnanda-io
Neel Nanda neelnanda-io
Mechanistic interpretability researcher at Google DeepMind. Formerly at Anthropic, formerly independent

Google DeepMind London

@HazyResearch
HazyResearch HazyResearch
We are a CS research group led by Prof. Chris Ré.

Palo Alto, CA

@jxmorris12
Jack Morris jxmorris12
Computer Science PhD Student at Cornell University. Interested in artificial intelligence and natural language processing.

New York, NY

@srush
Sasha Rush srush
Cornell Tech / Hugging Face

Cornell New York

@YuxinWenRick
Yuxin Wen YuxinWenRick
Ph.D. student in Computer Science at UMD. Security and Privacy in Machine Learning.

University of Maryland

@lucidrains
Phil Wang lucidrains
Working with Attention. It's all we need

San Francisco

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford