Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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Analyzes structured data and helps produce queries, insights or visualizations.
An integrated and easy-to-use tool for support vector classification and regression.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
Technology guy with a penchant for the web and for data, big and small.
Fast and easy data exploration by automating the visualization and data analysis process.
Organizes AI tools and resources so people can browse and compare relevant services.
MapLight offers data series about federal campaign finance and bills in Congress, for research and media organizations.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
Build and manage real-life ML, AI, and data science projects with Metaflow.
Build AI agents and multi-agent workflows in.NET, Python, and Go with Microsoft Agent Framework.
A GitHub repository with styles and keywords for Midjourney.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
C, C++, and Python tools for named entity recognition and relation extraction.
Machine learning and numerical analysis tools for Node.js and the Browser!
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
Join the discussion on this paper page.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.