# TingsongYu/PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

Repository: https://github.com/TingsongYu/PyTorch_Tutorial
Canonical: https://ross.abutalabs.com/products/pytorch_tutorial
Language: Python
License Family: other
Last push: 2026-08-22T03:47:34+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2829, "days_push": 11, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8011, forks 1742 (observed 2026-08-28T04:10:11.656234+00:00)

## What it is
Companion code repository for the Chinese-language book 'PyTorch Model Training Practical Tutorial' (《Pytorch模型训练实用教程》), containing runnable Python examples for training deep learning models with PyTorch. A second edition with additional CV, NLP, and LLM projects plus ONNX/TensorRT deployment content is available as an open-source online book.

## Use cases
- learn pytorch model training from scratch
- pytorch tutorial with example code
- understand pytorch training loop and weight initialization
- hands-on deep learning examples in python
- learn to deploy pytorch models with onnx and tensorrt
- pytorch tutorial for beginners in chinese
- practice building and training neural networks with pytorch

## When to choose
- you want structured, book-style guidance for learning PyTorch model training
- you prefer Chinese-language deep learning tutorials with runnable code
- you want example projects spanning computer vision, NLP, and LLMs
- you need an introduction to model inference deployment with ONNX and TensorRT

## When to avoid
- you need a production-ready training framework or library rather than tutorial code
- you require up-to-date PyTorch APIs - the original code targets PyTorch 0.4/1.0
- you need a maintained, licensed codebase for commercial use - the repo has no license
- you want English-language documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform, windows
- tags: pytorch, tutorial, model-training, deep-learning-course, chinese-language, sample-code, onnx, tensorrt, natural-language-processing, macos, linux

## Member repositories
- TingsongYu/PyTorch_Tutorial (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:11.656234+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:32:06.058470+00:00, confidence not recorded.
  - readme: https://github.com/TingsongYu/PyTorch_Tutorial (fetched 2026-08-28T04:10:11.656234+00:00, sha 441c576d9cbe)
- Data as of 2026-08-30T08:39:29.467469+00:00.