Alternatives and similar repositories for SOADML

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

• 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
• XtractOpen / Meganet.m
  A fresh approach to deep learning written in MATLAB
  ☆24Updated 2 years ago
• qingqu06 / MCS-BD
  Code for multichannel sparse blind deconvolution problem.
  ☆12Updated 5 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated 3 weeks ago
• jjberry / translational-DBN
  A variation on Deep Belief Networks that allows labels to be used in pretraining. The application is tracing tongue surface contours from…
  ☆24Updated 12 years ago
• stephenbeckr / AIMS
  AIMS South Africa Short Course on Optimization
  ☆18Updated 8 months ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• xbresson / old_codes
  ☆16Updated 8 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 6 years ago
• sasif / L1-homotopy
  Codes related to L1-norm minimization using homotopy
  ☆36Updated 12 years ago
• joaofcmota / cs-with-prior-information
  This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.
  ☆18Updated 6 years ago
• ptyshevs / fused_lasso
  2D Fused LASSO using Gradient Descent for grayscale image restoration 🎈
  ☆10Updated 6 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
• SaoYan / Learning_PyTorch
  Simple demos for PyTorch
  ☆8Updated 5 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• amkatrutsa / advanced-opt
  Presentations of the advanced topics in optimization
  ☆11Updated 5 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 7 years ago
• zhibinliao89 / fisher.info.mat.torch
  ☆12Updated 6 years ago
• jbharley / WISP
  The WISP (Wave Integrated Signal Processing) repository for analyzing complex wave propogation in guided wave nondestructive testing and …
  ☆17Updated 10 years ago
• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• alanqrwang / HQSNet
  Code for "Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data"
  ☆13Updated 4 years ago
• wangg12 / vi_vae_gmm
  Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan
  ☆16Updated 8 years ago
• wukailun / GLISTA
  source code of GLISTA
  ☆23Updated 5 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆15Updated 5 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆47Updated 5 years ago
• quanmingyao / FasTer
  Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.
  ☆16Updated 6 years ago
• adler-j / wasserstein_inverse_problems
  Code for the article "Learning to solve inverse problems using Wasserstein loss"
  ☆28Updated 7 years ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• 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