Probabilistic machine learning
probml
Material to accompany my book series "Probabilistic Machine Learning" (Software, Data, Exercises, Figures, etc)
Philipp Hennig
philipphennig
Professor for the Methods of Machine Learning at the University of Tübingen. Working to make learning machines faster, more reliable, and easier to use.
Eberhard Karls University of Tübingen Tübingen, Germany
NielsRogge
ML @huggingface. Interested in deep learning, NLP.
Contributed 40+ models to HuggingFace Transformers
HuggingFace Belgium
Florian Marquardt
FlorianMarquardt
Theoretical physicist at the Max Planck Institute for the Science of Light: machine learning for physics, quantum many-body, nanophysics and quantum optics
Erlangen, Germany
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
Farama Foundation
Farama-Foundation
The Farama foundation is a nonprofit organization working to develop and maintain open source reinforcement learning tools.
Scaling Intelligence Lab
ScalingIntelligence
AI and Systems Laboratory led by Professor Azalia Mirhoseini
United States of America
Zhijing Jin
zhijing-jin
PhD in NLP & Causality. Affiliated with Max Planck Institute, Germany & ETH & UMich. Supervised by Bernhard Schoelkopf, Rada Mihalcea, and Mrinmaya Sachan.
Max Planck Institute & ETH Zurich
PAIR code
PAIR-code
Code repositories for projects from the People+AI Research (PAIR) Initiative
Horace He
Chillee
PyTorch Intern 2019
Compilers intern 2018 @google
Maintainer of @VSCodeVim
Cornell CS/Math 2020
y Riyazi
yriyazi
I'm a mechanical engineer with expertise in control systems and nonlinear vibration analysis. I also have a keen interest in deep learning and its applications.
Max Planck Institute Mainz, Germany