# naturomics/CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Repository: https://github.com/naturomics/CapsNet-Tensorflow
Canonical: https://ross.abutalabs.com/products/capsnet-tensorflow
Language: Python
License: Apache-2.0
License Family: permissive
Topics: capsnet, tensorflow, capsule, capsule-network, routing-algorithm, dynamic-routing
Last push: 2018-12-22T06:28:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3231, "days_push": 2811, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3786, forks 1138 (observed 2026-08-28T04:08:18.601821+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning, computer-vision
- platform: python, windows
- tags: capsnet, capsule-network, tensorflow, dynamic-routing, mnist, image-classification, linux, macos

## Member repositories
- naturomics/CapsNet-Tensorflow (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:18.601821+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 2026-08-29T18:27:40.622225+00:00, confidence not recorded.
  - readme: https://github.com/naturomics/CapsNet-Tensorflow (fetched 2026-08-28T04:08:18.601821+00:00, sha 8d24c870b39e)
- Data as of 2026-08-30T08:39:29.467469+00:00.