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A lightweight, modern Python project template for packages, CLIs, and notebooks — powered by uv
Repo for NATURE-DEMO climatic indices calculation
🤗 smolagents: a barebones library for agents that think in code.
Understanding R1-Zero-Like Training: A Critical Perspective
AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins
Software behind the RACE dashboard by ESA and the European Commission (https://race.esa.int), the Green Transition Information Factory - GTIF (https://gtif.esa.int), as well as the Earth Observing …
An Open-source RL System from ByteDance Seed and Tsinghua AIR
Build Research and Rag agents with Granite on your laptop
An open-source, self-hostable PaaS alternative to Vercel, Heroku & Netlify that lets you easily deploy static sites, databases, full-stack applications and 280+ one-click services on your own servers.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Internal tools deployment made easy. Deploy web apps declaratively, on a single-node or on Kubernetes.
A no-nonsense template for making high-quality Neovim plugins. It has all the best opinions, pinky promise
🚀 Efficient implementations of state-of-the-art linear attention models
Multi-agent that helps you organize and write documents.
A fully-featured 🤏 HTTP-client 🐼 interface 🖥️ for Neovim ❤️.
The fastest way to create an HTML app
The magical reactive component framework for Django ✨
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).
A hackable markdown, Typst, latex, html(inline) & Asciidoc previewer for Neovim
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Large-scale LLM inference engine
Recipes to train reward model for RLHF.
Open source business application platform for fast development
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)