fabio-deep / Variational-Capsule-RoutingLinks
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
☆103Updated 4 years ago
Alternatives and similar repositories for Variational-Capsule-Routing
Users that are interested in Variational-Capsule-Routing are comparing it to the libraries listed below
Sorting:
- ☆124Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 8 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- An easy-to-follow Pytorch implementation of Hinton's Capsule Network☆204Updated 3 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 8 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 5 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆47Updated 7 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆291Updated 2 years ago
- ☆90Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Computing topological cavities of deep neural networks☆68Updated 5 years ago
- ☆83Updated 2 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated 2 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 4 years ago
- Empirical studies on Capsule Network representation and improvements implemented with PyTorch.☆43Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- ☆81Updated 3 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 6 years ago
- Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.☆133Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago