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 Artificial Intell
United States of America
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
CodeX Stanford
codexstanford
At CodeX, researchers, lawyers, entrepreneurs and technologists work side-by-side to advance the frontier of legal technology.
Stanford, CA 94305-8610
aleph data search
alephdata
A toolkit for data search, management and anlaysis in investigative reporting. Developed by @occrp and many others.
Tomaz Bratanic
tomasonjo
Graph and ML enthusiast.
Author of Graph algorithms for data science book: https://mng.bz/GGVN
Michael Hunger
jexp
I love open software and the people that build it. I'm the caretaker of the Neo4j community and teach girls to code. Also JavaChampion, speaker, author.
JEXP + @Neo4j Dresden, Germany
The International Consortium of Investigative Journalists
ICIJ
Stories that rock the world.
Washington, DC
Adrien Ball
adrienball
Passionate about machine learning & computer science. Rust & Python developer.
Follow me on twitter @adrien_ball
Sonos Inc Paris
Guillaume Lample
glample
Research Scientist at Facebook AI Research. Working on unsupervised machine translation, symbolic mathematics and theorem proving.
Facebook AI Research Paris
Sam Bowman
sleepinyourhat
Faculty member in Linguistics and Data Science at NYU
(Formerly @stanfordnlp)
New York University New York, NY
Jon Gauthier
hans
PhD student at MIT Brain and Cognitive Sciences. Formerly @stanfordnlp, @openai, Google Brain. Psycholinguistics, NLP, ML. I open-source as much as possible.
Cambridge, MA
Denny Britz
dennybritz
High-school dropout. Ex Google Brain, Stanford, Berkeley. Into Startups, Deep Learning. Writing at wildml.com and dennybritz.com
Tokyo, Japan
Christopher Erick Moody
cemoody
Work on Bayesian Deep Learning, Factorization Machines, NLP, lda2vec, sklearn & Chainer Framework contributor.
@gumtap San Francisco
Christopher Olah
colah
I want to understand things clearly and explain them well. @openai formerly @brain-research.
San Francisco
Olivier Grisel
ogrisel
Machine Learning Engineer at :probabl. and core contributor to scikit-learn.
probabl.ai Paris, France
Cyrille Rossant
rossant
Neuroscience researcher and software engineer
@int-brain-lab @cortex-lab Paris