Alternatives and similar repositories for spams-python

Users that are interested in spams-python are comparing it to the libraries listed below

• Rehan-Ahmad / Dictionary-Learning-Algorithms
  This repository contains dictionary learning algorithms
  ☆20Updated 6 years ago
• fubel / sparselandtools
  A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
  ☆91Updated 5 months ago
• rohdelab / PyTransKit
  Python Library for Signal/Image Data Analysis with Transport Methods
  ☆47Updated last month
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆69Updated 2 years ago
• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆97Updated 3 years ago
• PC91 / fast-flexible-conv-sparse-coding
  ☆26Updated last year
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆132Updated 3 weeks ago
• tomrunia / PyTorchWavelets
  PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
  ☆317Updated 3 years ago
• bwohlberg / sporco
  Sparse Optimisation Research Code
  ☆272Updated 8 months ago
• afbujan / complex_ica
  ICA algorithms for complex-valued signals
  ☆14Updated 9 years ago
• zhanglabtools / DSMO.course
  Data Science and Matrix Optimization course
  ☆74Updated 5 years ago
• adler-j / wasserstein_inverse_problems
  Code for the article "Learning to solve inverse problems using Wasserstein loss"
  ☆28Updated 7 years ago
• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆124Updated 4 years ago
• bnaecker / pygsvd
  Python and NumPy extension module implementing the generalized signular value decomposition (GSVD).
  ☆35Updated 5 years ago
• gpeyre / 2017-MCOM-unbalanced-ot
  L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.
  ☆42Updated 8 years ago
• Michaelvll / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
  ☆316Updated 2 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆37Updated last year
• TakaraResearch / Pytorch-1D-Wasserstein-Statistical-Loss
  1D Wasserstein Statistical Loss in Pytorch
  ☆27Updated 5 years ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• slimgroup / PyCurvelab
  Python interface to Curvelab (http://www.curvelet.org)
  ☆56Updated 5 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆25Updated 7 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• jrvmalik / time-frequency-analysis
  A MATLAB package for the short-time Fourier transform, the synchrosqueezing transform, ConceFT, and the deshape technique
  ☆31Updated 6 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• ChangdeDu / DGMM
  Deep Generative Multi-view Model (DGMM)
  ☆35Updated 6 years ago
• omrijsharon / torchlex
  Complex tensor and complex functions for pytorch.
  ☆49Updated 3 years ago
• kimmo1019 / Roundtrip
  Roundtrip: density estimation with deep generative neural networks
  ☆63Updated last year
• mughanibu / Deep-Learning-for-Inverse-Problems
  This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low…
  ☆41Updated 8 years ago
• tiepvupsu / DICTOL
  DICTOL - A Dictionary Learning Toolbox in Matlab and Python
  ☆194Updated 4 years ago