CapsNet implementations with PyTorch. Randomness in codes is removed.

Requirements

Python 3.5
PyTorch 0.4.1

Dynamic Routing Between Capsules

Sabour S, Frosst N, Hinton G E. Dynamic routing between capsules[C]//Advances in neural information processing systems. 2017: 3856-3866.
With the best hyperparameters on MNIST dataset in the paper, training will takes 5 hours with two GTX 1070.

	Best Test Accuracy
Paper	99.75%
This implementation with fine-tune	99.74%
This implementation	99.72%
Implementation by @gram-ai	99.70%
Implementation by @XifengGuo	99.66%
Implementation by @naturomics	99.64%

Matrix capsules with EM routing

Hinton G E, Sabour S, Frosst N. Matrix capsules with EM routing[C]//ICLR 2018.
With the best hyperparameters on smallNORB dataset in the paper, training will takes 40 hours with eight Tesla P40.

	Best Test Accuracy	Training Speed
Paper	98.2%	-
This Implementation	90.9%	< 1s/iter with 8 Tesla P40
Implementation by @www0wwwjs1	91.8%	25s/iter with 1 Tesla P40