bwohlberg / sporco-cuda
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
- Jupyter notebook usage examples for the SPORCO project☆19Updated 3 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆11Updated 2 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 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
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 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 5 months ago
- research on convolutional neural networks in fourier space☆15Updated 8 years ago
- Code for the simulations in the neural Kalman filtering paper☆16Updated 3 years ago
- ☆15Updated 5 years ago
- Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)☆38Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- ☆28Updated 5 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Find strongest response of convolutional layers on an image dataset. Automatically compute receptive field for any CNN layer.☆14Updated 4 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Updated 5 years ago
- ☆41Updated 8 years ago
- Blind deconvolution module in python☆20Updated 12 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 6 years ago
- Nonparametric Joint Shape and Feature Priors for Image Segmentation - IEEE Transactions on Image Processing 2017☆9Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- ☆16Updated 9 years ago
- Sparse dictionary learning☆29Updated 11 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Proximal algorithms and operators in python☆26Updated 5 years ago
- Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"☆27Updated 2 years ago