datawhalechina/thorough-pytorch resource
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/ observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 63
- Release rhythm 35
- Longevity 100
Flags: no_releases 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: 1859
- days_rel: n/a
- days_push: 227
- n_releases_24m: 0
Adoption not part of the score
3760 stars · 553 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An open-source Chinese-language PyTorch tutorial course ('Thorough PyTorch') by DataWhale, delivered as Jupyter notebooks and markdown docs with an online reading site and companion videos. It covers PyTorch fundamentals, model building, advanced training techniques, visualization, ecosystem tools, and model deployment.
Use cases
- learn pytorch from scratch
- pytorch tutorial for beginners
- understand tensors and autograd in pytorch
- learn advanced pytorch training techniques like fine-tuning and mixed precision
- visualize training with tensorboard or wandb
- deploy pytorch models with onnx
- read source code of resnet and transformer models
- follow a structured pytorch study group curriculum
When to choose
- you know Python and basic ML and want a structured, hands-on PyTorch course
- you prefer Chinese-language learning materials with notebooks and videos
- you want coverage from basics through fine-tuning, visualization, and ONNX deployment
When to avoid
- you need official, always-current API documentation
- you want a course in English or on frameworks other than PyTorch
- you need production-grade code rather than educational examples
Facets
learning-resource · maturity active
deep-learning machine-learning data-science deep-learning machine-learning tutorials education python pytorch tutorial chinese jupyter-notebook datawhale open-course
2 sources
- readme: https://github.com/datawhalechina/thorough-pytorch · fetched 2026-08-28 · e957f2d9619d
- homepage: https://datawhalechina.github.io/thorough-pytorch/ · fetched 2026-08-29 · 5e027f63b625
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| datawhalechina/thorough-pytorch | main | 61 |
For agents
markdown · JSON · MCP: product_card(name="datawhalechina/thorough-pytorch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem