KaTeX + coloring + interactivity to make equations explained well (prototype)

The absolute trainer to light up AI agents.

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF to clean Markdown. Built in Rust, with Node.js and Python bindings.

A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).

A browser-based viewer for Office Open XML documents that renders to an HTML Canvas element.

A curated list of cutting-edge research papers and resources on Long Chain-of-Thought (CoT) Reasoning with Tools.

official code for "Fox: Focus Anywhere for Fine-grained Multi-page Document Understanding"

Democratizing Reinforcement Learning for LLMs

An extremely fast Python package and project manager, written in Rust.

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024

PyTorch code and models for V-JEPA self-supervised learning from video.

Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models" ICLR 2024

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

A high-throughput and memory-efficient inference and serving engine for LLMs

A library for efficient similarity search and clustering of dense vectors.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

An open source implementation of CLIP.

Collection of presentations for advanced Python topics

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…

Virtual whiteboard for sketching hand-drawn like diagrams

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)