Alternatives and similar repositories for LASSO_Using_PGD:

Users that are interested in LASSO_Using_PGD are comparing it to the libraries listed below

• stwisdom / sista-rnn
  Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding
  ☆14Updated 8 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 5 years ago
• Chunpai / LASSO
  solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent
  ☆21Updated 10 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• jinohoh / WSDM17_shot
  ☆8Updated 8 years ago
• Wpatburke / Comparison-Of-Optimization-Algorithms
  # Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Di…
  ☆11Updated 9 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 8 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
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 5 years ago
• krzakala / LowRAMP
  Matlab code for Low rank Matrix Factorization with AMP
  ☆16Updated 9 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆34Updated 8 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 11 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 5 years ago
• albietz / dpmm
  Variational inference for Dirichlet process mixture models with multinomial mixture components.
  ☆33Updated 11 years ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆71Updated 12 years ago
• caesarcai / AccAltProj_for_RPCA
  Accelerated Alternating Projections for Robust Principal Component Analysis
  ☆21Updated 2 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆59Updated 4 years ago
• XuFengthucs / fSVT
  fast randomized SVD and its application to SVT algorithm
  ☆24Updated 2 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• andrewssobral / YALL1
  YALL1: Your ALgorithms for L1
  ☆12Updated 7 years ago
• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆58Updated 10 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆62Updated 9 years ago
• mehmetgonen / lmkkmeans
  Localized Multiple Kernel k-Means Clustering
  ☆27Updated 5 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 4 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• JunYongJeong / VSTG-MTL
  Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  ☆13Updated 5 years ago
• Haoran-S / SNMF
  Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
  ☆12Updated 8 years ago
• danilkuzin / Spatio-Temporal-Structured-Sparse-Regression-With-Hierarchical-Gaussian-Process-Priors
  The code for the paper "Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors" by Danil Kuzin, Olga Isup…
  ☆13Updated 6 years ago