gram-ai/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 3226
- days_rel: n/a
- days_push: 2854
- n_releases_24m: 0
Adoption not part of the score
1754 stars · 312 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A barebones CUDA-enabled PyTorch implementation of the CapsNet architecture from the NIPS 2017 paper 'Dynamic Routing Between Capsules' by Sabour, Frosst, and Hinton. It trains on MNIST with dynamic routing-by-agreement, achieving up to 99.7% test accuracy.
Use cases
- implement capsule networks in pytorch
- reproduce capsnet mnist results
- learn dynamic routing between capsules
- study capsule network architecture code
- train a capsule network on mnist
- compare capsule networks to convolutional nets on overlapping digits
When to choose
- you want a minimal, readable PyTorch reference implementation of CapsNet
- you need to reproduce or experiment with dynamic routing on MNIST
- you have a CUDA GPU and want quick training benchmarks
When to avoid
- you need a maintained, production-ready library - the repo is unmaintained with no license
- you need capsule networks on datasets beyond MNIST
- you need a framework-agnostic or TensorFlow/Keras implementation
Facets
library · maturity abandoned
machine-learning deep-learning image-processing deep-learning computer-vision machine-learning python windows capsule-networks pytorch mnist capsnet dynamic-routing research-code cuda gpu linux macos
6 sources
- readme: https://github.com/gram-ai/capsule-networks · fetched 2026-08-28 · c8f8629e6481
- homepage: https://arxiv.org/abs/1710.09829 · fetched 2026-08-29 · a7d431d3543d
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gram-ai/capsule-networks | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="gram-ai/capsule-networks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem