An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
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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.