This repository is a comprehensive, community-curated list of PyTorch-related resources, including models, implementations, helper libraries, tutorials, and paper reproductions. It serves as a valuable reference for PyTorch users, from beginners to advanced researchers, seeking to explore and leverage the PyTorch ecosystem.

How It Works

The list is organized into thematic categories such as NLP & Speech Processing, Computer Vision, Probabilistic/Generative Libraries, and Paper Implementations. Each entry provides a brief description and a link to the relevant GitHub repository or resource, facilitating discovery and adoption of PyTorch tools.

Quick Start & Requirements

• Installation: No direct installation required; it's a curated list of links.
• Requirements: Access to the internet to view linked resources.
• Resources: Links to official PyTorch documentation, tutorials, and a vast array of GitHub repositories.

Highlighted Details

• Extensive coverage of NLP and Computer Vision libraries.
• Dedicated sections for paper implementations and tutorials.
• Includes resources for probabilistic programming and generative models.
• Features links to conferences, talks, and PyTorch-related communities.

Maintenance & Community

This is a community-driven project with numerous contributors. The README encourages contributions and feedback for expanding the list.

Licensing & Compatibility

The repository itself does not have a license as it is a list of links. The licenses of the linked projects vary.

Limitations & Caveats

The list's comprehensiveness means it can be overwhelming; users may need to filter based on specific needs. The quality and maintenance status of linked projects can vary.