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:
- 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
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- PyTorch implementation of shake-drop regularization☆55Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 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
- ☆80Updated 3 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 2 years ago
- pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support☆94Updated 7 years ago
- Code for Self-Routing Capsule Networks☆52Updated 3 months ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 5 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆117Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Unified Pytorch framework for image-based self-supervised learning☆93Updated 4 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆26Updated 7 years ago
- Multi-level Dense Capsule Networks, in ACCV 2018☆34Updated 5 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss☆48Updated 7 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago