Showing 36 of 410 projects
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
An AI developer companion that builds full applications step-by-step with developer oversight, aiming to write 95% of the code.
Tabby is a self-hosted, open-source AI coding assistant that provides an on-premises alternative to GitHub Copilot.
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A deep learning framework to pretrain and finetune any AI model on any hardware with zero code changes.
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
Open Source AI Platform - AI Chat with advanced features that works with every LLM
A free, open-source desktop app for AI coworking with built-in agents, multi-model support, and 24/7 automation.
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
Open-source vector database and embedding store for building AI applications with semantic search.
An AI-powered task management system that integrates with Cursor, Windsurf, and other AI code editors via MCP.
Pack your entire codebase into a single AI-friendly file for analysis by LLMs like Claude, ChatGPT, and Gemini.
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.
A Python library that enables conversational data analysis on SQL, CSV, and parquet files using LLMs and RAG.
A Go framework for building distributed microservices with built-in RPC, service discovery, data modeling, and AI agent integration via MCP.
A full-featured, hackable Next.js AI chatbot template built with the Vercel AI SDK.
An open-source AI memory tool that records your screen and audio locally, enabling search and automation agents based on your computer activity.
An open-source AI memory tool that captures your screen and audio locally, enabling search and automation agents based on your computer activity.
A personalized news feed and professional network for developers, available as a browser extension and PWA.
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
A curated marketplace and MCP gateway for LLM tools, enabling developers to publish and monetize AI APIs.
Open-source AI platform for building private agents, assistants, and enterprise search with document analysis and multi-model support.
🧠 Leon is your open-source personal assistant.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
A customizable AI chatbot agent that ingests PDF documents, stores embeddings in a vector database, and answers user queries using LangChain and LangGraph.
A single-file memory layer for AI agents, replacing complex RAG pipelines with serverless, instant retrieval and long-term memory.
🦉 Data Versioning and ML Experiments
A terminal-based AI coding agent that plans and executes large coding tasks across multiple files with smart context management.
A curated collection of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
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