React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁

ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…

II-Researcher: a new open-source framework designed to aid building search / research agents

An SDK for working with LLMs and AI Agents from Apache Airflow, based on Pydantic AI

Roo Code gives you a whole dev team of AI agents in your code editor.

aider is AI pair programming in your terminal

An open-source RAG-based tool for chatting with your documents.

A DSPy-based implementation of the tree of thoughts method (Yao et al., 2023) for generating persuasive arguments

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

Synthetic data derived by templating, few shot prompting, transformations on public domain corpora, and monte carlo tree search.

A playbook for systematically maximizing the performance of deep learning models.

Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Large Action Model framework to develop AI Web Agents

A collection of learning resources for curious software engineers

Understanding Deep Learning - Simon J.D. Prince

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

Supercharge Your LLM Application Evaluations 🚀

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

A natural language interface for computers

Tesseract Open Source OCR Engine (main repository)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A technical explainer by @kognise of how your computer runs programs, from start to finish.

The prime repository for state-of-the-art Multilingual Question Answering research and development.

📋 A list of open LLMs available for commercial use.

Scripts and links to recreate the ELI5 dataset.

LLM training code for Databricks foundation models

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.