Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules
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Updated
Jan 19, 2018 - Python
Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules
PyTorch implementation of DeepCaps : Going Deeper with Capsule Networks. Original research paper : https://arxiv.org/abs/1904.09546.
A pure NumPy / CuPy implementation of Capsule Networks
The repository contains the Pytorch implementation of the Capsnet Paper
Capsule Network with Dynamic Routing using PyTorch version 1.4
An implementation of Hinton's capsnet in pytorch
pytorch implemented Capsnet referenced to Dynamic Routing Between Capsules
Interactive visualization tool for Capsule Neural Networks, focusing on coupling coefficients within the MNIST dataset using PyTorch, NetworkX, and Dash for an in-depth analysis and educational display.
Verify Capsule Protocol data integrity, chain links, and Ed25519 signatures in Go with a high-conformance, easy-to-use library.
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