intermt/awesome-pytorch-chinese

This repository is a curated list of PyTorch learning resources aimed at Chinese-speaking learners. PyTorch is a widely used open-source library for building and training machine learning models, particularly neural networks. The README is written entirely in Chinese and collects links to tutorials, video courses, project implementations, research paper implementations, and recommended books, all centered on PyTorch. The tutorial section lists several options ranging from the official English documentation to a Chinese translation of the official docs, plus beginner-friendly guides that walk through topics like image classifiers and data processing. Video course links point to content on Bilibili (a Chinese video platform) and YouTube, including both free community-made content and a paid course from an AI education platform. The resource list is divided by application area. One section covers natural language processing, pointing to tools like torchtext for data loading, a framework for sequence-to-sequence models, a PyTorch port of BERT (a type of language model), and a neural machine translation toolkit. Another section covers computer vision, with links to torchvision (the official image utilities companion to PyTorch), a face alignment library, a style-transfer implementation, and a fine-tuning toolkit for image classifiers. There is also a section of paper implementations, each linking to a GitHub repository that reproduces a specific research result in PyTorch. The final section recommends four Chinese-language books on deep learning with PyTorch, with a brief note and star rating for each. The repository does not contain runnable code of its own. It is a reference index for someone looking to learn or deepen their knowledge of PyTorch through Chinese-language materials.