A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
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capsule-networks
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A curated list of awesome resources related to capsule networks
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CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
machine-learning lasagne mxnet chainer tensorflow keras pytorch mnist deeplearning capsnet capsule-networks
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Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
generative-adversarial-network mnist gans keras-neural-networks celeba-dataset cifar-10 capsule-networks
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Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.
text-classification keras cnn lstm neural-networks hierarchy multi-label-classification capsule-networks acl2019 datset
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A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
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A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.
deep-learning tensorflow keras python3 coco segmentation 3d 2d capsule 2d-images mscoco-dataset capsule-networks image-seg-tool luna16 capsule-nets 3d-images seg-caps binary-image-segmentation
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- Jupyter Notebook
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
tensorflow capsule hinton capsnet capsule-network capsules capsule-networks capsule-net capsules-net capsnet-tensorflow matrix-capsules capsules-em
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Recognition of Sign Language using Capsule Networks
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A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images
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Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
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Prof. Geoffrey Hinton’ın “Dynamic Routing Between Capsules” makalesindeki Kapsül Ağı (Capsule Network: CapsNet) algoritmasının Keras Uygulamasıdır.
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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.
computer-vision deep-learning convolutional-neural-networks autonomous-driving autonomous-vehicles interpretability capsule-networks visual-attention context-specific
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PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
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Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.
speech-recognition keyword-spotting capsule-networks kws speech-command-recognition google-speech-command-dataset
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Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
keras cnn segmentation convolutional-neural-networks cnn-keras medical-image-processing capsule-networks medical-image-segmentation
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A collection of deep learning models (PyTorch implemtation)
pytorch vae densenet resnet unet lookahead ssd-mobilenet inceptionv4 shufflenet sagan mobilenet-ssd capsule-networks pggan mobilenetv2 squeeze-and-excitation dice-loss efficientnet neural-decision-forest radam condconv
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🔷 Effects of Degradations on Deep Neural Network Architectures (official code).
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"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018
deep-learning tensorflow mnist classification data-augmentation medical-image-analysis fashion-mnist capsnet capsule-networks data-challenges medical-datasets
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PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018
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