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:
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- Multi-scale Low Rank Matrix Decomposition Code☆40Updated 9 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- ☆26Updated last year
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆60Updated 5 years ago
- MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration☆55Updated 6 years ago
- ☆33Updated 6 years ago
- supervised deep sparse coding networks☆31Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆92Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆72Updated 8 years ago
- ☆28Updated 5 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low…☆41Updated 8 years ago
- ☆19Updated 5 years ago
- ☆16Updated 9 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Jupyter notebook usage examples for the SPORCO project☆19Updated 3 years ago
- Implementation of LDMnet in pytorch☆22Updated 6 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- Implementation of the variational network for denoising.☆17Updated 2 years ago
- Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be u…☆50Updated 6 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Updated 5 years ago
- ☆97Updated 6 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆12Updated 3 years ago