ursk / sparcoLinks
Convolutional Sparse Coding
☆10Updated 11 years ago
Alternatives and similar repositories for sparco
Users that are interested in sparco are comparing it to the libraries listed below
Sorting:
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆94Updated 7 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Dynamical Components Analysis☆33Updated 4 months ago
- Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …☆12Updated 6 years ago
- a repository containing everything relevant to our fast non-negative deconvolution work☆35Updated 9 years ago
- Automatic ROI Detection☆19Updated 10 years ago
- Benchmark of online PCA algorithms☆22Updated 7 years ago
- Sparse Optimisation Research Code☆276Updated 2 months ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Learning for computational imaging system made simple.☆65Updated 5 years ago
- ☆17Updated 10 years ago
- ☆16Updated 6 years ago
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆15Updated 3 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Matlab code for all variants of robust PCA and SPCP☆126Updated 4 years ago
- Convolution dictionary learning for time-series☆133Updated 2 months ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- ☆52Updated 4 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Updated 9 years ago
- The framework for inferring Langevin dynamics from spike data☆48Updated 8 months ago
- Demo for Multi-Layer ISTA and Multi-Layer FISTA algorithms for convolutional neural networks, as described in J. Sulam, A. Aberdam, A. Be…☆30Updated 7 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆18Updated 8 years ago
- Port of SPGL1 to python☆46Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.☆27Updated last year
- A Matlab package for probabilistic modeling of circular data with mixtures of von Mises distributions.☆16Updated 5 years ago
- latent manifold tuning model / P-GPLVM☆13Updated 6 years ago
- Canonical Correlation Forests☆21Updated 7 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Updated 5 years ago