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Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
Resumes generated using the GitHub informations
aider is AI pair programming in your terminal
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
🔥Highlighting the top ML papers every week.
High accuracy RAG for answering questions from scientific documents with citations
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
Free and Open Source Alternative to Splitwise. Share expenses with your friends and family.
Seamlessly integrate LLMs as Python functions
Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
A library for generative social simulation
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
[ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"
Hackers is an elegant iOS app for reading Hacker News written in Swift.
Easily train AlphaZero-like agents on any environment you want!
Translating Akkadian signs to transcriptions using NLP techniques such as HMM, MEMM and BiLSTM neural networks.
Open-source Conductor.build alternative. Runs the real claude/gemini/codex CLIs in real terminals, no SDK middleman
Code and example data for the paper: Rule Based Rewards for Language Model Safety