CapsNet and CapsNet-Visualization

CapsNet
50
Established
CapsNet-Visualization
50
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 448
Forks: 107
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Stars: 395
Forks: 92
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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 CapsNet-Visualization

bourdakos1/CapsNet-Visualization

🎆 A visualization of the CapsNet layers to better understand how it works

This tool helps AI researchers and students understand how Capsule Networks interpret images. You input your own images or use built-in examples, and it visualizes the internal processing of the network, showing how features are grouped and recognized. It's designed for anyone studying or working with advanced neural network architectures.

deep-learning neural-networks computer-vision ai-research machine-learning-education

Related comparisons

CapsNet and CapsGNN CapsNet and CapsNet-pytorch CapsNet and capsule-networks

Scores updated daily from GitHub, PyPI, and npm data. How scores work