PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
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Apr 13, 2021 - Python
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capsules
Here are 21 public repositories matching this topic...
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
deep-learning paper pytorch routing-algorithm associative-memory capsule-network capsules em-routing vector-routing dense-associative-memory society-of-mind
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Apr 13, 2023 - Python
A PyTorch Implementation of Matrix Capsules with EM Routing
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Apr 1, 2020 - Python
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
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Feb 15, 2023 - Python
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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Jan 22, 2018 - Python
The code for "No Routing Needed Between Capsules". This repository contains the code used for the experiments detailed in a forthcoming paper. The paper is available pre-published at arXiv: http://arxiv.org/abs/2001.09136
cnn mnist convolutional-neural-network state-of-the-art capsule-network capsules homogeneous-vector-capsules
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Jun 25, 2021 - Python
Stacked Capsule Autoencoders (SCAE) in PyTorch and their semantic interpretation
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Oct 2, 2021 - Python
A tensorflow implementation for CapsNet
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Dec 4, 2017 - Python
Another implementation of Hinton's capsule networks in tensorflow.
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Feb 19, 2018 - Python
🚀🔍 Search platform for SpaceX complex physical items
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Apr 24, 2023 - JavaScript
A lightweight, human-scale, extensible content framework for the small web
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Sep 13, 2022 - Go
Implementation of Hinton's "Dynamic Routing Between Capsules" paper
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Jun 10, 2018 - Python
easy definition of tensor flow based neural networks
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May 30, 2018 - Python
Matrix Capsules experiment on German Traffic Sign Recognition Benchmark (GTSRB)
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Jun 7, 2019 - Python
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. This repository contains the code used for the experiments detailed in a paper currently submitted to IEEE Transactions on Neural Networks and Learning Systems. The paper is available pre-published at arXiv: http://arxiv.org/abs/1906.08676
cnn imagenet inception convolutional-neural-network adam adam-optimizer capsule-network capsules homogeneous-vector-capsules adaptive-gradient-descent
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Jan 31, 2020 - Python
Presentation for paper "Single Image Super-Resolution Based on Capsule Neural Networks"
presentation paper super-resolution capsule-network capsules capsule-neural-networks slidev bracis2023
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Sep 24, 2024 - Vue
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