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