ethanleet / CapsNetLinks
Empirical studies on Capsule Network representation and improvements implemented with PyTorch.
☆43Updated 6 years ago
Alternatives and similar repositories for CapsNet
Users that are interested in CapsNet are comparing it to the libraries listed below
Sorting:
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).☆151Updated 5 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Code for Self-Routing Capsule Networks☆52Updated 5 months ago
- ☆81Updated 3 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support☆94Updated 7 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 3 years ago
- Multi-level Dense Capsule Networks, in ACCV 2018☆34Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- An easy-to-follow Pytorch implementation of Hinton's Capsule Network☆203Updated 3 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 3 years ago
- PyTorch implementation of shake-drop regularization☆55Updated 5 years ago
- ☆124Updated 3 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago
- PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.☆26Updated 4 years ago
- ☆100Updated 5 years ago
- A pytorch implementation of https://arxiv.org/abs/1904.09925☆16Updated 6 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 3 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆56Updated 4 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 6 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- Pytorch Implementation of the Stacked Capsule Autoencoders☆108Updated 5 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆45Updated 6 years ago
- rGAN: Label-Noise Robust Generative Adversarial Networks☆96Updated 4 years ago