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
• epfl-lts2 / unlocbox
  A Matlab convex optimization toolbox using proximal splitting methods
  ☆56Updated 2 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated this week
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆71Updated 2 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆37Updated last year
• hiroyuki-kasai / NMFLibrary
  NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
  ☆334Updated 2 years ago
• fubel / sparselandtools
  A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
  ☆92Updated 7 months ago
• afbujan / complex_ica
  ICA algorithms for complex-valued signals
  ☆14Updated 9 years ago
• PC91 / fast-flexible-conv-sparse-coding
  ☆26Updated 2 years ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆215Updated last year
• bwohlberg / sporco
  Sparse Optimisation Research Code
  ☆274Updated this week
• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆97Updated 4 years ago
• tiepvupsu / DICTOL
  DICTOL - A Dictionary Learning Toolbox in Matlab and Python
  ☆193Updated 4 years ago
• tomrunia / PyTorchWavelets
  PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
  ☆317Updated 3 years ago
• zhiwu-huang / SPDNet
  GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
  ☆59Updated 4 years ago
• zhanglabtools / DSMO.course
  Data Science and Matrix Optimization course
  ☆74Updated 5 years ago
• arminarj / DeepGCCA-pytorch
  An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
  ☆52Updated 5 years ago
• MRSRL / complex-networks-release
  Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focus…
  ☆123Updated 2 years ago
• claudiodsf / stockwell
  Stockwell transform for Python
  ☆103Updated 10 months ago
• adler-j / wasserstein_inverse_problems
  Code for the article "Learning to solve inverse problems using Wasserstein loss"
  ☆28Updated 8 years ago
• jiayuzhou / SLEP
  Sparse Learning via Efficient Projection (mirror copy of latest version in http://www.yelab.net/software/SLEP/)
  ☆22Updated 9 years ago
• thomassutter / mmjsd
  Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
  ☆18Updated 3 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆25Updated 7 years ago
• kwikteam / npy-matlab
  Experimental code to read/write NumPy .NPY files in MATLAB
  ☆591Updated 5 months ago
• yoyolicoris / pytorch-NMF
  A pytorch package for non-negative matrix factorization.
  ☆244Updated last year
• akcarsten / Independent_Component_Analysis
  From scratch Python implementation of the fast ICA algorithm.
  ☆156Updated 6 years ago
• HaizhaoYang / DeCom
  ☆15Updated 5 years ago
• JesperDramsch / Complex-CNN-Seismic
  Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".
  ☆31Updated 4 years ago
• epfl-lts2 / gspbox
  Graph Signal Processing in Matlab
  ☆143Updated 5 years ago
• slimgroup / PyCurvelab
  Python interface to Curvelab (http://www.curvelet.org)
  ☆57Updated 5 years ago