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Srikar Katta
kattasa
I am a 2nd year PhD student at Duke advised by Cynthia Rudin and Alex Volfovsky. I work on interpretable machine learning and causal inference for complex data
Duke University Durham
OpenAlex
ourresearch
Building a universal library of scholarship—organized, connected, and open.
Matt Hartman
matthartman
Sometimes coder. Managing Partner at Factorialcap.com
factorial new york, ny
UMass CS684
cs684-umass
Course repo for CS 684 Trustworthy and Responsible Artificial Intelligence
Kun Chen
kunchenguid
Member of the Technical Community. Former L8 engineer at Meta, Microsoft, Atlassian.
Bellevue, WA
Khurram Javed
kjaved0
Working on real-time reinforcement learning algorithms that learn on robots
Oak Lab Canada
National Deep Inference Fabric
ndif-team
The National Deep Inference Fabric is a proposed research computing project that will enable us to crack open the mysteries inside large-scale AI
United States of America
HigherOrderCO
HigherOrderCO
we are getting to the very core of what makes computers capable of reasoning.
Jesse Duffield
jesseduffield
Creator of lazygit, lazydocker, horcrux, and the OK? language
Melbourne
beartype
beartype
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Ontario, Canada
Neel Nanda
neelnanda-io
Mechanistic interpretability researcher at Google DeepMind. Formerly at Anthropic, formerly independent
Google DeepMind London
THUNLP
thunlp
Natural Language Processing Lab at Tsinghua University
FIT Building, Tsinghua University, Beijing
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