# vahidk/EffectivePyTorch

PyTorch tutorials and best practices.

Repository: https://github.com/vahidk/EffectivePyTorch
Canonical: https://ross.abutalabs.com/products/effectivepytorch
Homepage: https://twitter.com/VahidK
License Family: other
Topics: pytorch, neural-network, deep-learning, machine-learning, ebook
Last push: 2025-03-24T04:30:13+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 13, release rhythm 35, longevity 100
- inputs: {"age_days": 2344, "days_push": 527, "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 1713, forks 173 (observed 2026-08-28T04:05:25.982195+00:00)

## What it is
EffectivePyTorch is an open ebook of tutorials covering PyTorch fundamentals and best practices, including tensors, modules, TorchScript, data loaders, and mixed precision training. It is a documentation-style learning resource rather than a software library.

## Use cases
- learn pytorch basics
- understand pytorch tensor broadcasting pitfalls
- optimize pytorch training with torchscript
- build efficient custom data loaders in pytorch
- speed up training with automatic mixed precision
- learn numerical stability practices in pytorch

## When to choose
- you are learning PyTorch from scratch
- you want concise best-practice guidance for PyTorch idioms
- you need a free reference on TorchScript, AMP, or data loaders

## When to avoid
- you need runnable library code or a framework
- you want comprehensive structured courses with exercises
- you need official or exhaustive API documentation

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python, cross-platform
- tags: pytorch, ebook, tutorial, best-practices, neural-networks, gpu

## Member repositories
- vahidk/EffectivePyTorch (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:25.982195+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 2026-08-30T03:34:44.331385+00:00, confidence not recorded.
  - readme: https://github.com/vahidk/EffectivePyTorch (fetched 2026-08-28T04:05:25.982195+00:00, sha 52fa4022d66f)
- Data as of 2026-08-30T08:39:29.467469+00:00.