An implementation of Capsule Neural Networks based on paper "Dynamic Routing Between Capsules" in Tensorflow.
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Updated
Jan 11, 2018
An implementation of Capsule Neural Networks based on paper "Dynamic Routing Between Capsules" in Tensorflow.
DeepLearning4J implementation of CapsNet based on "Dynamic Routing Between Capsules"
Tensorflow implementation for some capsule based neural networks.
Verification with RESNETCAPS with At&t, LFW, Chim_Zoo. Experiments with triplet_loss, HAP2S_loss, Cluster_loss
A Toy Dataset To Explore Capsule Networks
Diabetic Retinopathy Detection is an ATPOS Kaggle competition.
A similarity learning implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
Fully vectorized and interpretable Pytorch implementation of capsule layers (and CapsNet) as described in the NIPS 2017 paper 'Dynamic Routing Between Capsules' by S. Sabour, N. Frosst and G.E. Hinton.
Implementation of Capsule Network architecture in GANs using MNIST dataset
A pytorch implementation of Capsule Network.
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
💊 CapsNets implementation according to the paper: Dynamic Routing Between Capsules - Sara Sabour, Nicholas Frosst, Geoffrey E Hinton
An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471
Hardware accelerator for Capsule Neural Networks
Presentation for paper "Single Image Super-Resolution Based on Capsule Neural Networks"
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