Alternatives and similar repositories for sporco-cuda:

Users that are interested in sporco-cuda are comparing it to the libraries listed below

• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• bwohlberg / sporco-notebooks
  Jupyter notebook usage examples for the SPORCO project
  ☆19Updated 3 years ago
• mbahri / KDRSDL
  Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)
  ☆11Updated 2 years ago
• swing-research / deepmesh
  Random Mesh Projectors for Inverse Problems
  ☆24Updated 3 years ago
• soudry / ROI_detect
  Automatic ROI Detection
  ☆19Updated 9 years ago
• FurongHuang / ConvDicLearnTensorFactor
  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
• tomMoral / Dicod
  Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …
  ☆12Updated 6 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• conda-forge / python-spams-feedstock
  A conda-smithy repository for python-spams.
  ☆23Updated 4 months ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 5 years ago
• frankong / multi_scale_low_rank
  Multi-scale Low Rank Matrix Decomposition Code
  ☆39Updated 9 years ago
• kukuruza / TF-Visualize-CNN
  Find strongest response of convolutional layers on an image dataset. Automatically compute receptive field for any CNN layer.
  ☆14Updated 4 years ago
• alexis-mignon / pydeconv
  Blind deconvolution module in python
  ☆20Updated 12 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆73Updated 8 years ago
• samirasamadi / Fair-PCA
  Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"
  ☆27Updated 2 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• BerenMillidge / NeuralKalmanFiltering
  Code for the simulations in the neural Kalman filtering paper
  ☆16Updated 3 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆24Updated 5 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 7 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆14Updated 5 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• vmchale / EMD
  Earth mover's distance on Nvidia GPUS
  ☆15Updated 8 years ago
• sihan-zeng / f-csrg
  Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"
  ☆10Updated 4 years ago
• dizcza / EmbedderSDR
  Embedder with binary sparse distributed representation.
  ☆15Updated last week
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• adler-j / wasserstein_inverse_problems
  Code for the article "Learning to solve inverse problems using Wasserstein loss"
  ☆28Updated 7 years ago