This repository serves as a curated, community-driven directory of resources for machine learning and deep learning practitioners. It aims to consolidate links to news, tools, communities, papers, datasets, courses, books, and practical projects, providing a centralized hub for learning and staying updated in the field.

How It Works

The project is structured as a comprehensive list of categorized links, acting as a navigational aid and knowledge base. It aggregates resources from various reputable sources across the ML/DL landscape, including academic platforms, tech blogs, open-source communities, and educational institutions. The organization into distinct sections like "News," "Tools," "Community," and "Resources" facilitates efficient information retrieval for users at different stages of their learning journey.

Quick Start & Requirements

• Access the curated list of resources via the project's website: https://www.mlhub123.com/
• Community discussion is available via WeChat and Telegram groups.

Highlighted Details

• Extensive categorization covering news, tools, communities, papers, datasets, courses, books, and projects.
• Links to prominent platforms like Hugging Face, Papers with Code, Kaggle, and official documentation for major ML frameworks.
• Includes resources for both theoretical learning (courses, books) and practical application (competitions, code repositories).
• Features links to academic pre-print servers like arXiv and academic search engines.

Maintenance & Community

The project encourages community contributions via Pull Requests. Links to WeChat and Telegram groups are provided for direct interaction and resource sharing.

Licensing & Compatibility

The repository itself is a collection of links and does not appear to have a specific license attached to the curated content. Individual linked resources will have their own respective licenses.

Limitations & Caveats

As a curated list, the quality and maintenance of individual linked resources are external to this project. The recency of updates for all categories may vary.