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@vithursant
Vithu Thangarasa vithursant
Sr. Research Scientist @Cerebras, ex-@uber-research, ex-Tesla, and former Graduate Student @uoguelph-mlrg and @VectorInstitute advised by @gwtaylor.

@uoguelph-mlrg Toronto, ON Canada

@LopezCastroRoberto
Roberto L. Castro LopezCastroRoberto
PhD candidate @UDC-GAC Colaborating w/: @IST-DASLab & @spcl

@UDC-GAC A Coruña, Galicia

@efrantar
Elias Frantar efrantar
I am a fourth-year Machine Learning PhD student and as a hobby I also build some of the world's fastest Lego Rubik's Cube solving robots!

IST Austria Vienna

@nelaturuharsha
Harsha Nelaturu nelaturuharsha
Visual Computing, Saarland 2023 | MIT 2018 | Prev Rediscovery.io, RunwayML, Responsive Environments, MIT Media Lab, .

Germany

@Ajay1994
Ajay Jaiswal Ajay1994
PhD Student - UT Austin

University of Texas at Austin United States

@ionutmodo
ionutmodo ionutmodo
PhD student at Institute of Science and Technology Austria (ISTA) working in optimization for deep learning

Institute of Science and Technology Austria

@nasib-ullah
Nasib Ullah nasib-ullah
Currently, training deep learning models for the extreme classification tasks.

Aalto University Espoo, Finland

@sidak
Sidak Pal Singh sidak
PhD student at ETH Zürich and MPI-IS Tübingen. Previously @ IST Austria, EPFL, Facebook AI Research, IIT Roorkee.

ETH Zurich Switzerland

@ArmandNM
Armand Nicolicioiu ArmandNM
Interested in Machine Learning and Neuroscience. 🧠🤖

IST Austria Vienna

@ZIB-IOL
IOL Lab ZIB-IOL
Working on optimization and learning at the intersection of mathematics and computer science

Germany

@FraCorti
Francesco Corti FraCorti
PhD Student at Graz University of Technology @TUGraz

Graz University of Technology Graz, Austria

@calgaryml
Calgary ML Lab calgaryml
University of Calgary Machine Learning Lab

Canada

@cemuyuk
Cem Üyük cemuyuk
MSc Computer Science Student @ Technical University of Munich

Germany

@z-a-f
Zafar z-a-f

Hoofs and Horns, Inc. Mountain View, CA

@cuda-mode
CUDA MODE cuda-mode
Your favorite cuda reading group https://discord.gg/cudamode
@leimao
Lei Mao leimao
Artificial Intelligence, Machine Learning, Computer Science. C++, CUDA, Python, CMake.

@NVIDIA Silicon Valley, California

@jcaip
Jesse Cai jcaip

@pytorch San Francisco CA

@SLR722
Botao Chen SLR722

Meta Menlo Park

@supriyar
supriyar

@facebook

@msaroufim
Mark Saroufim msaroufim
CUDA uninЇsțållåțîön fāīłüřęđ. Płēȃšę čøñțàçț șūppørt før åššīštåñćē

@PyTorch The Matrix

@jerryzh168
Jerry Zhang jerryzh168

@facebook Menlo Park

@andrewor14
andrewor14
Apache Spark PMC member
@Manuelhrokr
Manuel Manuelhrokr
PhD Candidate, data scientist, and researcher. Working on developing AI-based electricity price forecasting models in Python.

Calgary, Alberta

@songhan
Song songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.

MIT, NVIDIA

@tridao
Tri Dao tridao
Assistant Professor @ Princeton CS, machine learning & systems

Stanford, CA

@AlanAnsell
Alan Ansell AlanAnsell
PhD student in Natural Language Processing, 2020-2024

Language Technology Lab, University of Cambridge Cambridge, UK

@ucalgary
University of Calgary ucalgary

Calgary, Alberta, Canada

@horseee
Ma Xinyin horseee
Ph.D. Candidate @ NUS LV Lab🤔

National University of Singapore Singapore

@TimDettmers
Tim Dettmers TimDettmers

University of Washington Seattle, USA

@VainF
Gongfan Fang VainF
Zzz (¦3[▓▓] | Ph.D. Student @ NUS

National University of Singapore Singapore

@ggerganov
Georgi Gerganov ggerganov
I like big .vimrc and I cannot lie

@ggml-org Sofia, Bulgaria

@OATML
OATML OATML
Oxford Applied and Theoretical Machine Learning Group

Department of Computer Science, University of Oxford

@CompVis
CompVis - Computer Vision and Learning LMU Munich CompVis
Computer Vision and Learning research group at Ludwig Maximilian University of Munich (formerly Computer Vision Group at Heidelberg University)

Germany

@Shiweiliuiiiiiii
Shiwei Liu Shiweiliuiiiiiii
Royal Society Newton International Fellow

University of Oxford UK

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

Stanford