lunz-s / DeepAdverserialRegulariser
☆17Updated 4 years ago
Alternatives and similar repositories for DeepAdverserialRegulariser:
Users that are interested in DeepAdverserialRegulariser are comparing it to the libraries listed below
- Random Mesh Projectors for Inverse Problems☆24Updated 3 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- ☆31Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 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…☆39Updated 7 years ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Updated 4 years ago
- This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to un…☆24Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 7 months ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆44Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 10 months ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" publis…☆18Updated 6 years ago
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆60Updated 5 years ago
- ☆19Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- ☆32Updated 5 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- ☆29Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- ☆19Updated 5 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆24Updated 5 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Updated 4 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- ☆28Updated 5 years ago
- Code for the article "Learning to solve inverse problems using Wasserstein loss"☆28Updated 7 years ago
- ☆24Updated 4 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago