divelab / svae
Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions
☆14Updated 7 years ago
Related projects: ⓘ
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 6 years ago
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆38Updated 6 years ago
- Notes and resources on Machine Learning☆55Updated 3 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 5 years ago
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆63Updated 4 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 3 years ago
- VCCA Pytorch Implementation on MNIST dataset☆16Updated 6 years ago
- Contains tools for generalized Procrustes analysis, active shape models and shape-based image warping☆10Updated 10 years ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆35Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆54Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆55Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆78Updated 5 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Updated 2 years ago
- ☆23Updated 10 months ago
- Implementation of LDMnet in pytorch☆22Updated 5 years ago
- Contains the code relative to the paper Unbalanced Optimal Transport through Non-negative Penalized Linear Regression https://arxiv.org/a…☆12Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆99Updated 5 years ago
- Global Voxel Transformer Networks (GVTNets)☆18Updated 3 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- ☆56Updated 6 years ago
- VGrow for deep generative learning☆12Updated 5 years ago
- PyTorch Vision Toolbox not only for deep-clustering☆29Updated last year
- Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)☆54Updated 4 years ago
- Code for the article "Learning to solve inverse problems using Wasserstein loss"☆27Updated 6 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 5 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆14Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 4 years ago