bwohlberg / sporco-cudaLinks
CUDA extension for the SPORCO project
☆18Updated 3 years ago
Alternatives and similar repositories for sporco-cuda
Users that are interested in sporco-cuda are comparing it to the libraries listed below
Sorting:
- Jupyter notebook usage examples for the SPORCO project☆19Updated 3 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Updated 5 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆11Updated 2 years ago
- Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …☆12Updated 6 years ago
- A conda-smithy repository for python-spams.☆23Updated 7 months ago
- Sparse dictionary learning☆30Updated 11 years ago
- ☆15Updated 5 years ago
- Multi-scale Low Rank Matrix Decomposition Code☆40Updated 9 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 5 years ago
- Proximal algorithms and operators in python☆26Updated 6 years ago
- Blind deconvolution module in python☆19Updated 13 years ago
- Code for the simulations in the neural Kalman filtering paper☆18Updated 3 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- ☆29Updated 3 years ago
- research on convolutional neural networks in fourier space☆15Updated 8 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆11Updated 3 years ago
- Code for the article "Learning to solve inverse problems using Wasserstein loss"☆28Updated 7 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 6 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Find strongest response of convolutional layers on an image dataset. Automatically compute receptive field for any CNN layer.☆14Updated 4 years ago
- Enhancing Compressive Sensing with Neural Networks☆37Updated 8 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- ☆25Updated 2 years ago