akhdanfadh/efficient-capsnet-pytorch
PyTorch implementation of "Efficient-CapsNet: Capsule Network with Self-Attention Routing" (Mazzia et al., 2021).
This project provides a ready-to-use implementation of a special kind of neural network called Efficient-CapsNet. It takes image data and trains a model to classify or recognize objects within those images, producing a trained model that can be used for tasks like image recognition. Researchers and machine learning engineers working on computer vision tasks will find this useful for experimenting with advanced neural network architectures.
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Use this if you are a researcher or ML engineer interested in applying or studying Capsule Networks, particularly the Efficient-CapsNet architecture, for image classification.
Not ideal if you are looking for a general-purpose image recognition tool that requires no coding or deep learning expertise, as this project is intended for hands-on experimentation with a specific model architecture.
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Python
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MIT
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Last pushed
Aug 14, 2025
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