XifengGuo/CapsNet-Keras

Health v2 · maintenance only

Adoption not part of the score

2456 stars · 645 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Keras implementation of CapsNet, the capsule network architecture from the NIPS 2017 paper 'Dynamic Routing Between Capsules', achieving ~0.34% test error on MNIST. It includes training, testing, and multi-GPU training scripts with pre-trained models available.

Use cases

• implement capsule networks in keras
• reproduce capsnet results from the nips 2017 paper
• train a capsule network on mnist
• learn how dynamic routing between capsules works
• experiment with capsule network architectures
• test a pretrained capsnet model on new data

When to choose

• you want a faithful, well-tested reproduction of the original CapsNet paper in Keras
• you need a reference implementation of dynamic routing for research or learning
• you want to benchmark capsule networks on MNIST

When to avoid

• you need a production-ready or actively maintained deep learning library
• you use modern TensorFlow/Keras versions without switching to the tf2.2 branch
• you need capsule networks for datasets beyond MNIST without significant modification

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning deep-learning computer-vision image-processing python capsule-network capsnet keras mnist dynamic-routing research-implementation tensorflow gpu

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markdown · JSON · MCP: product_card(name="XifengGuo/CapsNet-Keras")