divelab / svaeLinks
Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions
☆14Updated 8 years ago
Alternatives and similar repositories for svae
Users that are interested in svae are comparing it to the libraries listed below
Sorting:
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆65Updated 5 years ago
- Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…☆86Updated 5 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆45Updated 5 years ago
- Notes and resources on Machine Learning☆56Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- ☆68Updated 6 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
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆38Updated 7 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'☆56Updated 2 years ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆74Updated 9 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 3 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Example Code for Self-Supervised Feature Learning in Medical Volume Scans☆15Updated 6 years ago
- ☆26Updated last year
- ☆84Updated 6 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks"…☆33Updated 2 years ago
- ☆46Updated 4 years ago
- Dense Steerable Filter CNN☆77Updated 2 years ago