A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Build and train a model that recognizes objects using a specific neural network design.
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Free · no card · unsubscribe anytimeA PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
capsule-networks has 1.8k stars on GitHub. It has been forked 312 times. capsule-networks is written mainly in Python. It has been in active development since 2017. Its main topics are capsule-networks, machine-learning, mnist, pytorch.
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
capsule-networks is an open-source project.
Yes. capsule-networks is free and open source — you can use, modify and self-host it.
capsule-networks is written mainly in Python.
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