pytorch/examples
Some data may be outdated — see provenance labels.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. observed · 2026-09-26
Health v2 · maintenance only
46/100
- Activity 31
- 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 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3710
- days_rel: n/a
- days_push: 414
- n_releases_24m: 0
Adoption not part of the score
24052 stars · 9830 forks observed · 2026-09-26
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97
A curated collection of short, high‑quality PyTorch example projects covering vision, text, reinforcement learning, and more. The repository provides ready‑to‑run scripts and notebooks that illustrate core PyTorch concepts with minimal dependencies.
Use cases
- Learn how to build an image classifier with ConvNets in PyTorch
- Experiment with GANs or VAEs for generative modeling
- Run reinforcement learning algorithms like actor‑critic on OpenAI Gym
- Explore sequence‑to‑sequence language modeling with RNNs or Transformers
- Test distributed training using PyTorch's Distributed Data Parallel
When to choose
- You need quick, runnable examples to understand PyTorch APIs
- You want reference implementations for common deep‑learning tasks
- You are prototyping and need minimal‑dependency code snippets
- You are teaching or learning PyTorch and need clear, isolated demos
When to avoid
- You require production‑grade, fully‑featured libraries or pipelines
- You need a comprehensive model zoo with training scripts and hyper‑parameter sweeps
- You are looking for a packaged library with a stable API for integration
Facets
application · maturity active
machine-learning deep-learning computer-vision nlp reinforcement-learning machine-learning deep-learning computer-vision reinforcement-learning windows python cross-platform pytorch example-code tutorials vision text rl gan vae super-resolution distributed-training natural-language-processing linux macos
9 sources
- readme: https://github.com/pytorch/examples · fetched 2026-09-26 · 31102942ecc9
- homepage: https://pytorch.org/examples · fetched 2026-09-28 · f1bdaf5ef5da
- site_page: https://pytorch.org/docs/stable/index.html · fetched 2026-09-28 · cd803252f07e
- site_page: https://pytorch.org/foundation · fetched 2026-09-28 · 3a156e65f8d0
- site_page: https://pytorch.org/ecosystem · fetched 2026-09-28 · b1e60b6a50af
- site_page: https://discuss.pytorch.org/ · fetched 2026-09-28 · e9d32ebb8577
- site_page: https://pytorch.org/edge · fetched 2026-09-28 · 17a121b972ca
- site_page: https://pytorch.org/executorch/stable/index.html · fetched 2026-09-28 · b18f4e77e13b
- site_page: https://pytorch.org/pytorch-domains · fetched 2026-09-28 · 7ecd36f927c9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pytorch/examples | main | 46 |
For agents
markdown · JSON · MCP: product_card(name="pytorch/examples")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem