This repository is a curated list of PyTorch-related projects, papers, tutorials, and resources, primarily aimed at Chinese-speaking developers and researchers. It serves as a comprehensive directory for anyone working with or looking to learn PyTorch, offering categorized links to facilitate exploration and adoption of various tools and techniques within the PyTorch ecosystem.

How It Works

The list is meticulously organized into categories such as "PyTorch & related libraries," "NLP & Speech Processing," "CV (Computer Vision)," "Probabilistic/Generative Libraries," "Other libraries," "Tutorials & books & examples," and "Paper implementations." Each entry typically includes a brief description, a link to the project, and often a popularity metric (e.g., GitHub stars). The primary benefit is providing a structured and easily navigable resource for discovering and evaluating PyTorch projects.

Highlighted Details

• Extensive coverage of NLP and Computer Vision libraries, with numerous entries for state-of-the-art models and frameworks.
• A significant section dedicated to paper implementations, linking directly to code for reproducing research results.
• A broad collection of tutorials, books, and examples catering to various learning styles and experience levels.
• Includes links to related tools, discussions, and community resources for a holistic PyTorch experience.

Maintenance & Community

The repository is actively maintained, with frequent updates and additions reflecting the rapid evolution of the PyTorch ecosystem. Community contributions are encouraged for adding new resources.

Licensing & Compatibility

The repository itself is a list and does not have specific licensing restrictions beyond those of the linked projects. Compatibility is dependent on the individual projects listed.

Limitations & Caveats

While comprehensive, the list is a directory and does not provide direct code or functionality. Users must navigate to external links for project details, installation, and usage. The primary language of the README is Chinese, which may be a barrier for non-Chinese speakers.