PyTorch-From-Zero-To-One  by amusi

This repository serves as a comprehensive guide and resource hub for learning PyTorch, targeting beginners and intermediate users in deep learning. It aims to provide a structured learning path with curated links to tutorials, documentation, video courses, books, and practical projects, facilitating a faster and more effective mastery of the PyTorch framework.

How It Works

The project aggregates and categorizes a vast array of PyTorch learning materials, including official documentation, community-contributed tutorials, video lectures, and recommended books. It also highlights practical implementations and projects, offering a multi-faceted approach to understanding PyTorch concepts from foundational principles to advanced applications. The curation emphasizes resources with high recommendation indices, suggesting a focus on quality and effectiveness.

Quick Start & Requirements

• Installation: No specific installation command is provided as this is a resource aggregation project.
• Prerequisites: Basic Python knowledge and an interest in deep learning are assumed. Access to the internet is required to view the linked resources.
• Resources: Links to official PyTorch documentation, tutorials, and community forums are provided.

Highlighted Details

• Extensive curation of learning resources, including official documentation, online tutorials, video courses, and book recommendations.
• Categorization of resources by difficulty and type (e.g.,入门指南, 在线教程, 视频教程, 书籍资源).
• Inclusion of practical projects and implementations, such as object detection, semantic segmentation, and generative adversarial networks.
• Highlights of the PyTorch ecosystem tools and libraries like PyTorch Lightning, Hydra, and Kornia.

Maintenance & Community

The repository is maintained by amusi. It links to official PyTorch social media channels and forums for community engagement and updates.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT, Apache) given its nature as a collection of links. However, the licenses of the linked external resources may vary. Compatibility for commercial use depends on the licenses of the individual linked projects and resources.

Limitations & Caveats

This repository is a curated list of external resources and does not contain code for direct execution or training. The quality and maintenance of the linked resources are external to this project. Some links may become outdated over time.