sksq96/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3054
- days_rel: n/a
- days_push: 914
- n_releases_24m: 0
Adoption not part of the score
4053 stars · 409 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A PyTorch library providing a Keras-style model.summary() that prints layer types, output shapes, parameter counts, and memory estimates. It is now superseded by the maintained torchinfo package.
Use cases
- print a keras-style summary of a pytorch model
- count trainable parameters in a pytorch network
- show layer output shapes for debugging a cnn
- estimate model memory footprint in pytorch
- inspect pytorch model architecture like keras model.summary()
When to avoid
- you are starting a new project - use torchinfo instead
- you need summaries of models with multiple inputs or complex control flow
Facets
library · maturity maintenance
machine-learning deep-learning developer-tools deep-learning machine-learning developer-tools python pytorch model-summary keras-style debugging neural-networks
1 source
- readme: https://github.com/sksq96/pytorch-summary · fetched 2026-08-28 · 3100f04c1e6e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sksq96/pytorch-summary | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="sksq96/pytorch-summary")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem