Ai
Showing 36 of 306 projects
A deep learning framework to pretrain and finetune any AI model on any hardware with zero code changes.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
Open-source vector database and embedding store for building AI applications with semantic search.
A free, open-source desktop app for AI coworking with built-in agents, multi-model support, and 24/7 automation.
An AI-powered task management system that integrates with Cursor, Windsurf, and other AI code editors via MCP.
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
Pack your entire codebase into a single AI-friendly file for analysis by LLMs like Claude, ChatGPT, and Gemini.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
A Python library that enables conversational data analysis on SQL, CSV, and parquet files using LLMs and RAG.
A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.
A full-featured, hackable Next.js AI chatbot template built with the Vercel AI SDK.
A personalized news feed and professional network for developers, available as a browser extension and PWA.
An open-source AI memory tool that captures your screen and audio locally, enabling search and automation agents based on your computer activity.
An open-source AI memory tool that records your screen and audio locally, enabling search and automation agents based on your computer activity.
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.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
A customizable AI chatbot agent that ingests PDF documents, stores embeddings in a vector database, and answers user queries using LangChain and LangGraph.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
A single-file memory layer for AI agents, replacing complex RAG pipelines with serverless, instant retrieval and long-term memory.
A terminal-based AI coding agent that plans and executes large coding tasks across multiple files with smart context management.
A browser extension that enhances ChatGPT's data security, prevents network errors, and adds productivity features for a smoother AI experience.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
An open-source platform for building and deploying GPT/LLM-powered chatbots and AI assistants.
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A curated collection of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
A modular, open-source visual editor for React.js that enables custom drag-and-drop page building with your own components.
An open-source autonomous AI trading assistant that selects models, fetches data, and executes trades across multiple markets with USDC micropayments.
A curated list of modern Generative AI projects, services, models, and resources across text, image, video, audio, and coding.
An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
An all-language AI-powered code completion backend that provides intelligent autocompletions across multiple editors.
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