CapsNet and capsule-networks

CapsNet

Established

capsule-networks

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 24/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 24/25

Stars: 448

Forks: 107

Downloads: —

Commits (30d): 0

Language: —

License: MIT

Stars: 1,753

Forks: 313

Downloads: —

Commits (30d): 0

Language: Python

License: —

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About CapsNet

loretoparisi/CapsNet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

This project offers a collection of implementations and resources for Capsule Networks (CapsNets), a type of neural network capable of recognizing objects more effectively than traditional Convolutional Neural Networks, especially in complex scenarios. It takes image data as input and outputs highly accurate object classifications, even when objects overlap. Data scientists and machine learning researchers exploring advanced computer vision techniques would use this project.

image-classification object-recognition machine-learning-research computer-vision deep-learning

About capsule-networks

gram-ai/capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

This project offers a PyTorch implementation of Capsule Networks, a neural network architecture particularly effective for image recognition. It takes an image as input and outputs a classification of the objects or parts within it, even when they overlap. This would be used by a machine learning engineer or researcher experimenting with advanced image classification models beyond standard convolutional neural networks.

image-classification deep-learning-research neural-networks computer-vision

Related comparisons

CapsNet and CapsNet-Visualization CapsNet and CapsGNN CapsNet and CapsNet-pytorch CapsNet and CapsNet-pytorch

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