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A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
DeepEP: an efficient expert-parallel communication library
Curie: Automated and Rigorous Scientific Experimentation with AI Agents
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
Recurrent Neural Network - A curated list of resources dedicated to RNN
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
A simple, fast and user-friendly alternative to 'find'
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
AWS Distro for OpenTelemetry Collector (see ADOT Roadmap at https://github.com/orgs/aws-observability/projects/4)
PyTorch per step fault tolerance (actively under development)
A generative world for general-purpose robotics & embodied AI learning.
flow-pilot is an openpilot based driver assistance system that runs on linux, windows and android powered machines.
Scan for React performance issues and eliminate slow renders in your app
Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"
Modyn is a research-platform for training ML models on growing datasets.
This repository contains specifications, proof scripts, and other artifacts required to formally verify portions of AWS libcrypto. Formal verification is used to locate bugs and increase assurance …
Modular framework for property inference attacks on deep neural networks
Zodiac: Unearthing Semantic Checks for Cloud Infrastructure-as-Code Programs, SOSP 2024