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@charliermarsh
Charlie Marsh charliermarsh
Building @astral-sh: high-performance developer tools for Python, starting with uv and Ruff.

@astral-sh Brooklyn, NY

@matpalm
mat kelcey matpalm
data nerd wannabe
@f-dangel
Felix Dangel f-dangel
Postdoc at the Vector Institute, Toronto. Interested in computing and using anything beyond the gradient for ML.

@ProbabilisticNumerics @VectorInstitute Toronto

@borisdayma
Boris Dayma borisdayma
Building free AI tools 🎉
@shawwn
Shawn Presser shawwn
Bug fixer @laarc.

St Louis, MO

@ClashLuke
Lucas Nestler ClashLuke
Researcher at https://keenagi.com/, TensorFork member

Zurich, Switzerland

@evanatyourservice
Evan Walters evanatyourservice
ML/RL enthusiast, environmentalist

North Conway, NH

@opooladz
Omead Pooladzandi opooladz
Optimization

Los Angeles

@jeanfeydy
Jean Feydy jeanfeydy
Machine learning researcher at Inria Paris. Geometer interested in medical applications and GPU computing.

Inria Paris, France

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

San Francisco

@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

@Tom94
Thomas Müller Tom94
Principal research scientist @ NVIDIA. Passionate about AI, video games, computer graphics, OSS, etc.

NVIDIA Zürich, Switzerland

@danijar
Danijar Hafner danijar
Building AI that makes autonomous decisions using world models, artificial curiosity, and temporal abstraction

DeepMind Berkeley

@yang-song
Yang Song yang-song
Research Scientist at OpenAI.

OpenAI Palo Alto, CA

@Dao-AILab
Dao AI Lab Dao-AILab
We are an AI research group led by Prof. Tri Dao

United States of America

@tkarras
Tero Karras tkarras
Principal Research Scientist, NVIDIA

NVIDIA Helsinki, Finland

@jph00
Jeremy Howard jph00
CEO / R&D @ answer.ai; Founder fast.ai

@answerdotai Brisbane, Australia

@colah
Christopher Olah colah
I want to understand things clearly and explain them well. Interpretability at Anthropic. Formerly OpenAI, Google Brain.

Anthropic San Francisco

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

Stanford

@srush
Sasha Rush srush
Cornell Tech / Hugging Face

Cornell New York

@Mononofu
Julian Schrittwieser Mononofu
AI Researcher. AlphaGo, AlphaZero & MuZero.

Anthropic London, UK

@ViralBShah
Viral B. Shah ViralBShah
Co-creator of the Julia programming language. Co-founder and CEO of JuliaHub.

JuliaHub

@craffel
Colin Raffel craffel

University of Toronto Toronto, ON

@denisyarats
Denis Yarats denisyarats
PhD student in AI at New York University

NYU New York

@t-vi
Thomas Viehmann t-vi
Principal Research Engineer at @Lightning-AI Mathematics and Inference at @MathInf I do a lot of @pytorch work

MathInf https://mathinf.eu/ Munich

@francoisfleuret
Francois Fleuret francoisfleuret
Research Scientist at Meta, Professor of Computer Science at the University of Geneva. Research in machine learning.

Meta / University of Geneva Switzerland

@ptrblck
ptrblck
Deep Learning Frameworks @NVIDIA
@tpope
Tim Pope tpope
Vim plugin artist

Brooklyn, NY

@slinderman
Scott Linderman slinderman
I'm an assistant professor at Stanford University in the Statistics Department and the Wu Tsai Neurosciences Institute.

Stanford University Stanford, CA

@dougalm
Dougal Maclaurin dougalm

Google Brain Cambridge, MA

@barak
Barak A. Pearlmutter barak

Dept of Computer Science, Maynooth University Ireland