awesome-machine-learning
A curated list of awesome machine learning frameworks, libraries, and software organized by programming language.
What is awesome-machine-learning?
Awesome Machine Learning is a curated, community-maintained list of machine learning frameworks, libraries, and software. It organizes resources by programming language, providing a centralized directory for developers and researchers to discover tools across the ML ecosystem. The project solves the problem of fragmented information by aggregating high-quality, open-source ML projects in one place.
Machine learning practitioners, data scientists, researchers, and developers seeking to discover or evaluate ML libraries and frameworks for their specific programming language or task.
Developers choose this list because it offers a comprehensive, language-organized, and vetted collection of ML resources, saving significant research time. Its community-driven curation ensures quality and relevance, making it a trusted starting point for exploring the machine learning landscape.
Overview
A curated list of awesome Machine Learning frameworks, libraries and software.
Use Cases
Best For
- Finding machine learning libraries for a specific programming language like Python, R, or JavaScript
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
