Alternatives and similar repositories for ADMM-NeuralNetworks

Users that are interested in ADMM-NeuralNetworks are comparing it to the libraries listed below

• VITA-Group / LISTA-CPSS
  [NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*…
  ☆63Updated 3 years ago
• VITA-Group / ALISTA
  [ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Y…
  ☆71Updated 3 years ago
• wadayama / TISTA
  Trainable ISTA for sparse signal recovery
  ☆42Updated 6 years ago
• wukailun / GLISTA
  source code of GLISTA
  ☆23Updated 5 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆161Updated 2 years ago
• minhnhat93 / lfa_sc
  Matlab implementation of the paper "Learning fast approximations of sparse coding"
  ☆32Updated 9 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 8 years ago
• yangyan92 / Deep-ADMM-Net
  ☆213Updated 8 years ago
• feeds / na-alista
  Improving ALISTA with neural augmentation
  ☆15Updated 4 years ago
• JoonyoungYi / MCAM-numpy
  Low-rank Matrix Completion using Alternating Minimization
  ☆23Updated 7 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆63Updated 11 months ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆24Updated 2 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• shangqigao / TensorCompletion
  A collection of tensor completion algorithms
  ☆17Updated 4 years ago
• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆100Updated 4 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• wushanshan / L1AE
  Code for our paper "Learning a compressed sensing measurement matrix via gradient unrolling".
  ☆21Updated 4 years ago
• MortezaMardani / Neural-PGD
  This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to un…
  ☆24Updated 6 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆25Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• dongzhuoyao / admm_nn
  Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement
  ☆15Updated 8 years ago
• chenlongxiabc / IRTPCAcode
  The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.
  ☆15Updated 6 years ago
• jonzhaocn / GAN-Base-on-Matlab
  A implementation of GAN in matlab
  ☆30Updated 6 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆35Updated 3 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆34Updated 8 years ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆92Updated 6 years ago
• mborgerding / onsager_deep_learning
  Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
  ☆85Updated 7 years ago
• caesarcai / LRPCA
  Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
  ☆30Updated 3 years ago