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A curated list of awesome resources related to capsule networks
| Date | Stars |
|---|---|
| 2026-07-24 | 975 |
| 2026-07-25 | 975 |
| 2026-07-28 | 975 |
| 2026-07-30 | 975 |
| 2026-08-06 | 975 |
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# Awesome Capsule Networks [](https://github.com/sindresorhus/awesome) <img src="diagram.png" /> A curated list of awesome resources related to capsule networks maintained by [AI Summary](http://aisummary.com). ## Contributing Please [pull a request](https://github.com/aisummary/awesome-capsule-networks/pulls) if you are aware of additional resources. Your feedback and contributions are always welcome! ## Sharing - [Share on Twitter](http://twitter.com/home?status=http://github.com/sekwiatkowski/awesome-capsule-networks) - [Share on Facebook](http://www.facebook.com/sharer/sharer.php?u=http://github.com/sekwiatkowski/awesome-capsule-networks) - [Share on Google Plus](http://plus.google.com/share?url=http://github.com/sekwiatkowski/awesome-capsule-networks) - [Share on LinkedIn](http://www.linkedin.com/shareArticle?mini=true&url=http://github.com/sekwiatkowski/awesome-capsule-networks) ## Table of Contents - [Papers](#papers) - [Papers by Geoffrey Hinton and colleagues](#papers-by-hinton-et-al) - [Under review](#under-review) - [Preprints](#preprints) - [Videos](#videos) - [Blogs](#blogs) - [Dynamic routing implementations](#dynamic-routing-implementations) - [Official implementation](#official-implementation) - [Chainer](#chainer) - [CNTK](#cntk) - [Keras](#keras) - [Matlab](#matlab) - [MXNet](#mxnet) - [PyTorch](#pytorch) - [R](#r) - [TensorFlow](#tensorflow) - [Torch](#torch) - [EM routing implementations](#em-routing-implementations) - [PyTorch](#em-routing-pytorch) - [TensorFlow](#em-routing-tensorflow) - [Other resources](#other-resources) - [License](#license) ## Papers ### Papers by Hinton et al. - [Matrix capsules with EM routing](https://openreview.net/forum?id=HJWLfGWRb) - Hinton, G. E., Sabour, S. and Frosst, N. (2018) - [Dynamic Routing Between Capsules](https://arxiv.org/abs/1710.09829) - Sabour, S., Frosst, N. and Hinton, G.E. (2017) - [Transforming Auto-encoders](http://www.cs.toronto.edu/~fritz/absps/transauto6.pdf) - Hinton, G. E., Krizhevsky, A. and Wang, S. D. (2011) - [A parallel computation that assigns canonical object-based frames of reference.](http://www.cs.toronto.edu/~fritz/absps/object-based81.pdf) - Hinton, G.E. (1981) - [Shape representation in parallel systems](http://www.cs.toronto.edu/~fritz/absps/shape81.pdf) - Hinton, G.E. (1981) - [Optimizing Neural Networks that Generate Images](http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf) - Tijmen Tieleman's disseration ### Other papers - [Multi-level Dense Capsule Networks](https://github.com/ssrp/Multi-level-DCNet) - S. S. R. Phaye, A. Sikka, A. Dhall and D. R. Bathula (2018) ### Under review - [An Optimization View on Dynamic Routing Between Capsules](https://openreview.net/forum?id=HJjtFYJDf) - Wang, D., Liu, E. (2018) - [Spectral Capsule Networks](https://openreview.net/forum?id=ByVJlqR8G) - Bahadori, M. T. (2018) ### Preprints - [Capsule Network Performance on Complex Data](https://arxiv.org/pdf/1712.03480.pdf) - Xi, E., Bing, S. and Jin, Y. (2017) - [Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture](https://arxiv.org/ftp/arxiv/papers/1801/1801.00602.pdf) - Qiao, K., Zhang, C., Wang, L., Yan, B., Chen, J., Zeng, L. and Tong, L. (2018) - [CapsuleGAN: Generative Adversarial Capsule Network](https://arxiv.org/pdf/1802.06167.pdf) - Jaiswal, A., AbdAlmageed, W. and Natarajan, P. (2018) - [Brain Tumor Type Classification via Capsule Networks](https://arxiv.org/pdf/1802.10200.pdf) - Afshar, Parnian., Mohammadi, A., and Plataniotis, K. N. (2018) - [Sentiment Analysis by Capsules](https://www.researchgate.net/profile/Aixin_Sun/publication/323257127_Sentiment_Analysis_by_Capsules/links/5a8a3be5aca272017e621e81/Sentiment-Analysis-by-Capsules.pdf) - Wang, Y., Sun, A., Han, J., Liu, Y. and Zhu, X. (2018) - [Capsules for Obje
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matched fp:0b981af7a33912a3, topic:awesome-list, desc:curated list, readme:curated list
matched fp:0b981af7a33912a3, topic:deep-learning
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