the probability mass has escaped to infinity
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CMU
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04:50
(UTC -04:00) - https://karannb.github.io
Highlights
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Rhys Goodall
CompRhys
Working on the application of Machine Learning to Materials Discovery
@Radical-AI
Tian Xie
txie-93
Researcher at Microsoft Research working on ML for materials discovery
Microsoft Cambridge, United Kingdom
Zhijian Liu
zhijian-liu
Research Scientist at @nvidia, and Assistant Professor at @ucsd Mountain View, CA
Karan Goel
krandiash
@cartesia-ai Founder / CEO, prev. CS PhD @ Stanford, CMU/IITD alum and @kbrgl's older brother.
San Francisco
Institute of Machine Learning and Neural Computation, TU Graz
IGITUGraz
This repo is going to be phased out - the new repo is IMLTUGraz
Graz, AT
Soumya Sanyal
soumyasanyal
Ph.D. Candidate at USC | IISc Bangalore | Goldman Sachs | IIT Kharagpur
ESML
Efficient-Scalable-Machine-Learning
Efficient Scalable Machine Learning group (Bielefeld University & Royal Hollway, University of London)
INK Lab @ USC
INK-USC
Intelligence and Knowledge Discovery (INK) Research Lab at University of Southern California
Los Angelas, CA
Bharath Ramsundar
rbharath
Hacking at Deep Forest Sciences. Creator of https://DeepChem.io. Author O'Reilly Media. Prev: Co-founder Computable. Stanford CS PhD on deep drug discovery.
@deepforestsci
Tess Smidt
blondegeek
Associate Professor in EECS at MIT. Atomic Architect. Wrangler of neural nets. Geometry junkie. blondegeek.
@atomicarchitects Cambridge, MA
Petar Veličković
PetarV-
Senior Staff Research Scientist / Affiliated Lecturer
Google DeepMind / University of Cambridge London, UK
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