TingsongYu/PyTorch-Tutorial-2nd resource
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。 observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 99
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1721
- days_rel: n/a
- days_push: 11
- n_releases_24m: 0
Adoption not part of the score
4584 stars · 491 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A free open-source Chinese-language book and companion Jupyter Notebook codebase teaching PyTorch from basics through CV, NLP, and LLM applications to inference deployment with ONNX and TensorRT. It is structured in three parts: PyTorch fundamentals, industry application projects, and production deployment including PTQ/QAT quantization.
Use cases
- learn pytorch from scratch
- pytorch tutorial for beginners
- learn deep learning with practical projects
- object detection with yolov5 tutorial
- deploy pytorch models with onnx and tensorrt
- fine-tune and run open-source llms like qwen
- learn model quantization ptq and qat
- study transformer bert and gpt models
When to choose
- you want a structured, project-driven path from PyTorch basics to deployment
- you prefer Chinese-language learning materials with runnable Jupyter Notebook code
- you need coverage of CV, NLP, and LLM tasks in one resource
- you want to learn inference optimization with ONNX, TensorRT, and quantization
When to avoid
- you need an English-language textbook
- you want a maintained software library rather than educational material
- you need a formal certification or instructor-led course
- you already need only advanced research-level material beyond engineering practice
Facets
learning-resource · maturity active
machine-learning deep-learning computer-vision nlp llm-inference data-visualization developer-tools deep-learning machine-learning computer-vision large-language-models tutorials education python cross-platform pytorch tutorial jupyter-notebook onnx tensorrt model-quantization yolov5 qwen transformer model-deployment chinese-language natural-language-processing gpu
2 sources
- readme: https://github.com/TingsongYu/PyTorch-Tutorial-2nd · fetched 2026-08-28 · 7eb4faa50e0c
- homepage: https://tingsongyu.github.io/PyTorch-Tutorial-2nd/ · fetched 2026-08-29 · 385b5aff35bf
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TingsongYu/PyTorch-Tutorial-2nd | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="TingsongYu/PyTorch-Tutorial-2nd")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem