adler-j / wasserstein_inverse_problemsLinks
Code for the article "Learning to solve inverse problems using Wasserstein loss"
☆28Updated 7 years ago
Alternatives and similar repositories for wasserstein_inverse_problems
Users that are interested in wasserstein_inverse_problems are comparing it to the libraries listed below
Sorting:
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆93Updated 6 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration☆55Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- ☆33Updated 6 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆74Updated 9 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- ☆19Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- ☆17Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- Optimal transport transforms☆23Updated 7 years ago
- Multi-scale Low Rank Matrix Decomposition Code☆40Updated 9 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- ☆26Updated last year
- ☆16Updated 9 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Deep convolutional gaussian processes.☆80Updated 5 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆61Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆82Updated 7 years ago