bwohlberg / sporco-cudaLinks
CUDA extension for the SPORCO project
☆18Updated 4 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
- 3D Roto-translation equivariant convolutions☆54Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"☆27Updated 2 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- 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 9 months ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- Code for the simulations in the neural Kalman filtering paper☆20Updated 4 years ago
- ☆25Updated 3 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
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- ☆28Updated 5 years ago
- A Python convex optimization package using proximal splitting methods☆114Updated 2 years ago
- ☆82Updated 7 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆12Updated 2 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆25Updated 5 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆74Updated 9 years ago
- ☆41Updated 9 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago