# dragen1860/Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Repository: https://github.com/dragen1860/Deep-Learning-with-PyTorch-Tutorials
Canonical: https://ross.abutalabs.com/products/deep-learning-with-pytorch-tutorials
Homepage: https://study.163.com/course/introduction/1208894818.htm
Language: Python
License Family: other
Topics: deep-learning, pytorch, convolutional-neural-networks, recurrent-neural-networks, generative-adversarial-network, machine-learning, artificial-intelligence, tutorial
Last push: 2019-11-17T03:10:43+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2837, "days_push": 2481, "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 3132, forks 1313 (observed 2026-08-28T04:07:45.541995+00:00)

## What it is
Companion source code and slides for a Chinese-language video course on deep learning with PyTorch, covering CNNs, RNNs, and GANs. It is a tutorial/learning resource rather than a software library.

## Use cases
- learn pytorch from scratch
- deep learning tutorial with code examples
- understand CNN RNN GAN implementations in pytorch
- beginner-friendly deep learning course materials
- pytorch installation and setup guide
- study deep learning algorithms with hands-on code

## When to choose
- you are a beginner wanting structured video lessons plus runnable code
- you prefer Chinese-language instruction
- you want example implementations of CNNs, RNNs, and GANs in PyTorch

## When to avoid
- you need an actively maintained library or up-to-date PyTorch APIs
- you need production-ready code with a license
- you want English-language materials or modern course content

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: deep-learning, machine-learning
- domain: deep-learning, tutorials, machine-learning, artificial-intelligence
- platform: python, cross-platform
- tags: pytorch, tutorial, video-course, cnn, rnn, gan, chinese-language, course-materials, gpu

## Member repositories
- dragen1860/Deep-Learning-with-PyTorch-Tutorials (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:45.541995+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 2026-08-30T07:26:08.304708+00:00, confidence not recorded.
  - readme: https://github.com/dragen1860/Deep-Learning-with-PyTorch-Tutorials (fetched 2026-08-28T04:07:45.541995+00:00, sha 22d096255cd5)
  - homepage: https://study.163.com/course/introduction/1208894818.htm (fetched 2026-08-29T09:41:05.672771+00:00, sha 137d23214b30)
  - site_page: https://study.163.com/about/aboutus.htm (fetched 2026-08-29T09:41:05.681740+00:00, sha 4decca2d543d)
- Data as of 2026-08-30T08:39:29.467469+00:00.