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naturomics/CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules observed · 2026-08-28

github.com/naturomics/CapsNet-Tensorflow · Python · Apache-2.0 (permissive) 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: 3231
  • days_rel: n/a
  • days_push: 2811
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3786 stars · 1138 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow implementation of CapsNet (Capsule Networks) based on Geoffrey Hinton's paper 'Dynamic Routing Between Capsules'. It supports training on MNIST and Fashion-MNIST datasets with multi-GPU support.

Use cases

  • reproduce CapsNet results from the Dynamic Routing Between Capsules paper
  • train a capsule network on MNIST
  • train a capsule network on Fashion-MNIST
  • learn how dynamic routing between capsules is implemented in TensorFlow
  • study capsule network architecture code for research

When to choose

  • you want a reference implementation of the original CapsNet paper in TensorFlow
  • you are studying or teaching capsule networks and dynamic routing
  • you need to benchmark capsule networks on MNIST or Fashion-MNIST

When to avoid

  • you want to build custom models with capsule layers - the author recommends the CapsLayer library instead
  • you need PyTorch or another framework
  • you need a maintained library for production use - the repo has not been updated since 2018

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning deep-learning computer-vision python windows capsnet capsule-network tensorflow dynamic-routing mnist image-classification linux macos

1 source

Member repositories

RepositoryRoleHealth v2
naturomics/CapsNet-Tensorflowmain32

For agents

markdown · JSON · MCP: product_card(name="naturomics/CapsNet-Tensorflow")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem