hunkim/PyTorchZeroToAll resource
Simple PyTorch Tutorials Zero to ALL! observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3255
- days_rel: n/a
- days_push: 893
- n_releases_24m: 0
Adoption not part of the score
3978 stars · 1188 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of PyTorch tutorial materials including lecture slides and video lectures, designed as a quick 3-4 day crash course for HKUST students. It covers topics from linear models and gradient descent through CNNs, RNNs, and Seq2Seq models.
Use cases
- learn pytorch from scratch
- pytorch tutorial for beginners
- deep learning crash course materials
- understand backpropagation and autograd in pytorch
- learn cnn and rnn with pytorch
- find pytorch lecture slides and videos
When to choose
- you want a short, structured introduction to PyTorch fundamentals
- you prefer learning from slides paired with video lectures
- you are a student or beginner needing quick 3-4 day coverage of deep learning basics
When to avoid
- you need up-to-date coverage of modern PyTorch APIs and features
- you want production-grade code or a maintained library
- you need advanced topics like transformers or large-scale training
Facets
learning-resource · maturity maintenance
machine-learning deep-learning deep-learning machine-learning tutorials python pytorch tutorial lecture-slides video-lectures beginner
2 sources
- readme: https://github.com/hunkim/PyTorchZeroToAll · fetched 2026-08-28 · ff333f7c4511
- homepage: http://bit.ly/PyTorchZeroAll · fetched 2026-08-29 · f5250e6e738d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hunkim/PyTorchZeroToAll | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="hunkim/PyTorchZeroToAll")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem