An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Directory
AI & Machine Learning
AI and Machine Learning covers the tools, models, and services built around machine learning. Models and machine learning holds model hubs, playgrounds, and training resources. AI image generation collects text-to-image tools, editors, and prompt libraries, while audio and speech covers transcription, voice, and music generation. AI coding and development lists assistants, code review tools, and developer utilities, and AI agents and automation brings together workflow builders and task tools. AI data and analytics holds platforms for labelling, monitoring, and evaluating models. Many listings are open source projects rather than hosted services, so check what you get and what it costs before you depend on one. We do not independently test each tool, and a Shout shows member support rather than a quality score. Imported listings do not start with an assigned owner or price.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A Julia machine learning framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
No need to keep checking your training, just one import line and you'll know the second it's done.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A scalable C++ machine learning library.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Mlu is developed amazon to help people in ml space you can learn everything from basics here with live diagrams.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A library consisting of useful tools for data science and machine learning tasks.
Place to meet for humans, agents and NPCs with MCP (Model Context Protocol) client/server integration.
Mocha supports software development with code generation, analysis, debugging, or documentation.
Multidimensional cluster generation in MATLAB/Octave.
A modular active learning framework for Python, built on top of scikit-learn.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
List of models for upscaling images.