Lists (2)
Stars
Curated collection of papers in machine learning systems
A curated list of awesome projects and papers for distributed training or inference
Collective communications library with various primitives for multi-machine training.
The hub for EleutherAI's work on interpretability and learning dynamics
[NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Summarize existing representative LLMs text datasets.
Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Best practices & guides on how to write distributed pytorch training code
A library for mechanistic interpretability of GPT-style language models
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
An open source implementation of CLIP.
Recreating every milestone in Machine Learning and Artificial Intelligence
TinySigLIP: SigLIP Distillation via Affinity Mimicking and Weight Inheritance
A Framework of Small-scale Large Multimodal Models
Lightweight Nearest Neighbors with Flexible Backends
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
An orchestration platform for the development, production, and observation of data assets.
Official PyTorch implementation for "Large Language Diffusion Models"
"Deep Learning Crash Course" is a comprehensive and up-to-date guide that takes you from simple neural networks all the way to cutting-edge deep learning architectures-no advanced math and programm…