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Published directory entries matching your search.
LocalGPT is an on-premise document intelligence platform that lets users chat with their documents on their local device using GPT models. It supports PDF, DOCX, HTML, Markdown, and TXT files and combines dense vector search with LanceDB full-text search and a cross-encoder reranker. It runs with a plain Python RAG core and offers generation models via Ollama.
Langflow is a platform for building and deploying AI-powered agents and workflows, with a visual authoring interface and built-in API and MCP servers. It supports major LLMs, vector databases and AI tools, and allows deployment as an API, JSON export or MCP server.
Open-source project that creates or edits images with generative AI and text-based controls.
Lumen is an open-source agent framework for chatting with data and retrieval augmented generation. Its declarative data model lets LLMs generate data pipelines, SQL, charts, and dashboards, with outputs that can be inspected and edited. It also supports context embeddings and custom agents and tools.
Open-source pipeline for rewriting AI-generated text into natural human prose. The repository documents a structure-first data pipeline that builds SFT and KTO training data for an AI-to-human rewrite model, with training data construction described in its docs.
An alternative to Supabase for AI Code editors and Vibe Coding tools.
A model-agnostic visual debugging tool for machine learning.
PraisonAI is an open-source project hosted on GitHub under the MervinPraison/PraisonAI repository. It enables the deployment of autonomous, self-improving AI agents capable of researching, planning, coding, and executing tasks. The tool includes built-in memory and retrieval-augmented generation (RAG) capabilities, supports over 100 large language models, and can be deployed with 5 lines of code.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
MidJourney Styles and Keywords on GitHub is a reference repository containing styles and keywords for use with MidJourney AI, alongside pages showing resolution comparison, image weights, and additional related resources.
Open-source project that creates or edits images with generative AI and text-based controls.
Multidimensional cluster generation in MATLAB/Octave.
Mutahunter is an open-source, language-agnostic mutation testing tool that uses large language models. It is installed as a Python package requiring Python 3.11 or later and run against a repository with a test command, source path and test path, reporting mutation coverage and survived or killed mutants.
Nanocoder is an open-source coding agent built for terminal use by a community collective rather than a corporate entity. It allows users to bring their own AI model, stores code locally on the user's machine, and does not require users to owe fees or obligations to a company. It is hosted as a public repository on GitHub.
A local-first agentic markdown workspace combining a Markdown-first editor, knowledge navigation, AI agent sessions, and explicit change review in a multipane application. It runs agent sessions for providers such as Codex, Claude, Grok, Kilo, OpenCode, and Pi, and supports reviewing tracked AI edits before keeping or rejecting them.
Open-source project that creates or edits images with generative AI and text-based controls.
Open RAG Eval is an open-source Python evaluation toolkit for Retrieval-Augmented Generation pipelines. It provides TREC-RAG evaluation metrics and a modular design for custom metrics and connectors, with core metrics that do not require golden chunks or golden answers.
An open solution to the Data Science Bowl 2018, based on the topcoders winning solution from ods.ai. The repository was archived by the owner on Jun 22, 2022 and is now read-only. It uses PyTorch and references neptune.ml, though running it as a plain Python script is possible.
An archived, read-only GitHub repository holding an open solution to the Google AI Open Images Object Detection Track. It offers starter code, configs and notebooks, with RetinaNet training and references to the Neptune experiment platform; Neptune use is optional and the code can run as a plain Python script. The README notes the competition used Open Images Dataset V4.
The AI coding agent built for the terminal.
Open Code Review is an AI-powered code review CLI tool that reads Git diffs and sends changed files to a configurable LLM agent, producing structured line-level review comments. It also scans entire files and supports OpenAI and Anthropic compatible endpoints.
Open-source project that creates or edits images with generative AI and text-based controls.
Kilo - Open-source AI coding assistant for VS Code, JetBrains, and the CLI.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
