LSP server leveraging LLMs for code completion (and more?)

A UI-Focused Agent for Windows OS Interaction.

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

A curated list of language modeling researches for code and related datasets.

A self-hosted karaoke system with AI

Community-driven effort to facilitate discovery, access and systematization of data related to Large Language Models used for security perposes.

Open source codebase powering the HuggingChat app

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

LlamaIndex is a data framework for your LLM applications

a Hassle-Free Python Experience

🐰 Bencher - Continuous Benchmarking

Multi functional app to find duplicates, empty folders, similar images etc.

A fast static code analyzer & language server for Python

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision…

Write Emacs packages in Swift!

Sleek Emacs icons for macOS

Minimalist ML framework for Rust

📋 A list of open LLMs available for commercial use.

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Images to inference with no labeling (use foundation models to train supervised models).

An extremely fast Python package installer and resolver, written in Rust.

An open-source framework for making universal native apps with React. Expo runs on Android, iOS, and the web.

Automatically mock your HTTP interactions to simplify and speed up testing

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Documentation that simply works

A minimalist production ready plugin system

Label, clean and enrich text datasets with LLMs.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.