ermongroup / sparse_genLinks
Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
☆24Updated 7 years ago
Alternatives and similar repositories for sparse_gen
Users that are interested in sparse_gen are comparing it to the libraries listed below
Sorting:
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)☆31Updated 7 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- ☆42Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆73Updated 7 years ago
- Scaled MMD GAN☆36Updated 6 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆73Updated 4 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- ☆29Updated 4 years ago
- ☆18Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆40Updated 5 years ago
- Sliced Wasserstein Generator☆22Updated 7 years ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆94Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆13Updated 6 years ago
- ☆17Updated 5 years ago
- ☆32Updated 7 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆40Updated 7 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- Code for doubly stochastic gradients☆26Updated 11 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆47Updated 7 years ago