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@tile-ai
tile-ai tile-ai
Enabling Lightning-Fast AI Workloads Development via Tiling
@coder
Coder coder
Coder provisions cloud development environments via Terraform, supporting Linux, macOS, Windows, X86, ARM, Kubernetes and more.
@CMU-SAFARI
SAFARI Research Group at ETH Zurich and Carnegie Mellon University CMU-SAFARI
Site for source code and tools distribution from SAFARI Research Group at ETH Zurich and Carnegie Mellon University.

ETH Zurich and Carnegie Mellon University

@LGUG2Z
Jeezy LGUG2Z
Carly Rae Jepsen fanboy

Seattle, WA

@the-nix-way
The Nix Way the-nix-way
Opinionated learning resources for the Nix package manager and language
@neurosim
NeuroSim neurosim
Researchers from Prof. Shimeng Yu's group at Georgia Tech

Georgia Institute of Technology Atlanta, GA

@sharc-lab
Sharc-Lab sharc-lab
Software/hardware Co-design Lab at Georgia Tech

Georgia

@fawazsammani
Fawaz Sammani fawazsammani
3rd year PhD at the VUB. I work on vision-language, zero-shot learning and inference-time approaches. In love with simplicity.

Vrije Universiteit Brussel Brussels, Belgium

@neuraloperator
NeuralOperator neuraloperator
Learning Neural Operators in PyTorch
@JeremieMelo
Jiaqi Gu JeremieMelo
Assistant Professor @ ASU ECEE; PhD from UT Austin. Efficient Machine Learning & Optical Neurocomputing & Software-Hardware Codesign

Arizona State University Tempe, AZ

@NeuroBench
NeuroBench
NeuroBench is a suite of benchmarks useful for neuromorphic computing. It is divided into two tracks, algorithms and systems benchmarks.
@fabrizio-ottati
Fabrizio Ottati fabrizio-ottati
Staff GPU AI Compiler Engineer @ Qualcomm

Qualcomm Ireland

@AckslD
Axel Dahlberg AckslD
I have a passion for solving problems, quantum technologies, software and climbing.
@ArjanCodes
ArjanCodes
We help developers and development teams write better software.

Netherlands

@z-shell
Z-Shell z-shell
Open-source society passionate about Zsh
@Felix-Petersen
Felix Petersen Felix-Petersen
Researcher @ Stanford University

Stanford University Stanford, CA

@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

@soulmachine
Frank Dai soulmachine
I test in prod

Google Santa Clara, CA

@chiphuyen
Chip Huyen chiphuyen
AI x stuff

San Francisco

@sunilkpai
Sunil Pai sunilkpai

PsiQuantum New York City

@bencbartlett
Ben Bartlett bencbartlett
Researcher at @openai • physics PhD @Stanford • photonics, quantum stuff, math animations, led art projects, cats

@openai San Francisco, CA

@jingli9111
Li Jing jingli9111
Researcher at OpenAI

OpenAI