A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
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Updated
Nov 9, 2018 - Python
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images
Prof. Geoffrey Hinton’ın “Dynamic Routing Between Capsules” makalesindeki Kapsül Ağı (Capsule Network: CapsNet) algoritmasının Keras Uygulamasıdır.
PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.
Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
Recognition of Sign Language using Capsule Networks
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Tensorflow implementation of capsule network (CapsNet) for traffic prediction.
Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.
A collection of deep learning models (PyTorch implemtation)
🔷 Effects of Degradations on Deep Neural Network Architectures.
Capsule Network based GAN
PyTorch Implementation of Capsule Networks
Pytorch Implementation of Capsule Networks
PyTorch implementation of Capsule Networks
PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018
Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.
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