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@gmum
GMUM gmum
Group of Machine Learning Research, Jagiellonian University

Kraków, Poland

@docker
Docker docker
Docker helps developers bring their ideas to life by conquering the complexity of app development.

San Francisco, CA

@NeuralNine
NeuralNine NeuralNine
🧠 Machine Learning 📊 Data Science 👨‍💼 Owner: Florian Dedov

NeuralNine Vienna, Austria

@xai-org
xai-org
Understand the Universe

United States of America

@kevinch-nv
Kevin Chen kevinch-nv
Deep Learning Software Engineer @ NVIDIA

NVIDIA Sunnyvale, CA

@rajeevsrao
Rajeev Rao rajeevsrao

NVidia Corporation Santa Clara, CA

@AndriyMulyar
Andriy Mulyar AndriyMulyar
Merging humans with latent spaces at @nomic-ai

Nomic AI NYC

@ikawrakow
Kawrakow ikawrakow

Gentleman at large Italy & Bulgaria

@cebtenzzre
Jared Van Bortel cebtenzzre

Nomic AI New York City

@JohannesGaessler
Johannes Gäßler JohannesGaessler
Experimental particle physicist. Other interests: statistics, generative neural networks, hardware acceleration.

Karlsruhe Institute of Technology Karlsruhe, Germany

@nomic-ai
Nomic AI nomic-ai
democratizing access to powerful artificial intelligence

United States of America

@zylon-ai
Zylon zylon-ai
The Truly Private AI Workspace
@ggerganov
Georgi Gerganov ggerganov
I like big .vimrc and I cannot lie

@ggml-org Sofia, Bulgaria

@github
GitHub github
How people build software.

San Francisco, CA

@bentoml
BentoML bentoml
The easiest way to build fast and reliable AI serving systems

San Francisco

@langchain-ai
LangChain langchain-ai

United States of America

@weaviate
Weaviate weaviate
Weaviate creates database software like the Weaviate vector search engine

worldwide

@lamm-mit
LAMM: MIT Laboratory for Atomistic and Molecular Mechanics lamm-mit
PI: Markus J. Buehler, MIT Our research focus on developing a new paradigm that designs materials from the molecular scale, using MD, ML and other methods

MIT Cambridge, MA

@SamMugel
Sam Mugel SamMugel
I am a sociable physicist (yeah, they exist!). CTO Multiverse Computing. My focus is on quantum technologies for industry. Be prepared for surprises!

Multiverse Computing Toronto

@niconielsen32
Nicolai Høirup Nielsen niconielsen32
Machine Learning Engineer - Computer Vision, ML and Robotics

Denmark

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

Stanford

@Jakob-Unfried
Jakob Unfried Jakob-Unfried
PhD Student, Condensed Matter Physics

TU Munich

@emstoudenmire
Miles emstoudenmire
Research scientist at the Flatiron Institute Center for Computational Quantum Physics (CCQ).

Flatiron Institute CCQ New York City

@ryanlevy
Ryan Levy ryanlevy
Physicist studying computational condensed matter physics and QIS

Flatiron Institute New York

@kmp5VT
Karl Pierce kmp5VT
Software Fellow at @flatironinstitute. Currently working on the ITensors software package @ITensor.
@kshyatt
Katharine Hyatt kshyatt

Flatiron Institute New York, NY

@mtfishman
Matt Fishman mtfishman
Research Scientist and Software Engineer at the Center for Computational Quantum Physics (CCQ), Flatiron Institute, New York. Developer of @ITensor.

Flatiron Institute New York, New York

@JuliaLang
The Julia Programming Language JuliaLang
The Julia Programming Language
@ITensor
ITensor ITensor
A software library for developing and performing state of the art tensor network calculations.
@SelfExplainML
Self-Explanatory Machine Learning SelfExplainML
High performance ML models that are inherently interpretable
@JoeyT1994
Joseph Tindall JoeyT1994
Researcher @simonsfoundation working on the simulation of many-body quantum systems.

Flatiron Institute New York

@lionelmessi6410
Chia-Hung Yuan lionelmessi6410
My goal is to develop robust machine learning to reliably interact with a dynamic and uncertain world.

MIT-IBM AI Watson Lab Taiwan

@navjindervirdee
Navjinder Virdee navjindervirdee
Senior Software Engineer at Microsoft | AWS Solutions Architect | Azure Data Scientist | Azure AI Engineer | Machine Learning | Deep Learning |

@microsoft Canada