pytorch/tutorials resource
PyTorch tutorials. observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3624
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
9290 stars · 4428 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The official PyTorch tutorials repository, containing Sphinx-style documentation with runnable Python examples and Jupyter notebooks covering everything from beginner basics to advanced deep learning topics. Tutorials are published at pytorch.org/tutorials and can be run in Google Colab or locally.
Use cases
- learn pytorch from scratch
- pytorch tutorial for beginners
- how to train a neural network in pytorch
- optimize dataloader performance in pytorch
- visualize model training with tensorboard
- understand torch.nn and autograd
- pytorch gpu data transfer best practices
- learn to build and save ML models
When to choose
- you are learning PyTorch or deep learning workflows for the first time
- you want official, maintained, runnable examples with Colab support
- you need guidance on specific PyTorch features like DataLoader tuning, TensorBoard, or pin_memory
When to avoid
- you need API reference documentation rather than guided tutorials
- you use a different framework like TensorFlow or JAX
- you want a production-ready library to import rather than educational material
Facets
learning-resource · maturity active
machine-learning deep-learning gpu-computing data-science deep-learning machine-learning tutorials developer-tools python cross-platform pytorch tutorials documentation sphinx-gallery jupyter-notebooks neural-networks beginner-friendly gpu
10 sources
- readme: https://github.com/pytorch/tutorials · fetched 2026-08-28 · 450d9ea80321
- homepage: https://pytorch.org/tutorials/ · fetched 2026-08-29 · bba01495b478
- site_page: https://docs.pytorch.org/tutorials/recipes/recipes/reasoning_about_shapes.html · fetched 2026-08-29 · eb294b08ba08
- site_page: https://docs.pytorch.org/tutorials/beginner/basics/intro.html · fetched 2026-08-29 · 75ef37033b0a
- site_page: https://docs.pytorch.org/tutorials/beginner/introyt/introyt_index.html · fetched 2026-08-29 · 06340119421e
- site_page: https://docs.pytorch.org/tutorials/beginner/pytorch_with_examples.html · fetched 2026-08-29 · a6e8edbe8634
- site_page: https://docs.pytorch.org/tutorials/beginner/nn_tutorial.html · fetched 2026-08-29 · 88e592a9ac0e
- site_page: https://docs.pytorch.org/tutorials/intermediate/tensorboard_tutorial.html · fetched 2026-08-29 · 77598be92009
- site_page: https://docs.pytorch.org/tutorials/intermediate/pinmem_nonblock.html · fetched 2026-08-29 · 51f4df34ca14
- site_page: https://docs.pytorch.org/tutorials/intermediate/intermediate_data_loading_tutorial.html · fetched 2026-08-29 · a8127771f01b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pytorch/tutorials | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="pytorch/tutorials")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem