adler-j / wasserstein_inverse_problemsLinks
Code for the article "Learning to solve inverse problems using Wasserstein loss"
☆28Updated 8 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.☆94Updated 7 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- ☆33Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration☆56Updated 6 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆61Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Updated 9 years ago
- ☆26Updated 2 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 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
- Multi-scale Low Rank Matrix Decomposition Code☆44Updated 9 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- ☆84Updated 7 years ago
- ☆82Updated 8 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- ☆98Updated 6 years ago
- Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be u…☆49Updated 7 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- ☆16Updated 6 years ago
- Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)☆38Updated 6 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Implementation of LDMnet in pytorch☆22Updated 7 years ago
- ☆17Updated 10 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago