Alternatives and similar repositories for admm_lasso

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

• tonyduan / matrix-completion
  Lightweight Python library for in-memory matrix completion.
  ☆108Updated 2 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆119Updated 11 years ago
• davidhallac / NetworkLasso
  ☆22Updated 10 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 8 years ago
• maka89 / Deep-Kernel-GP
  Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
  ☆95Updated 8 years ago
• USC-Melady / KDD19-CoSTCo
  ☆23Updated 2 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆56Updated 6 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆169Updated 2 years ago
• HarlinLee / nonconvex-GTF-public
  Code for nonconvex graph trend filtering
  ☆10Updated 3 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆62Updated 10 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆135Updated 4 years ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 7 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 11 years ago
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆45Updated 10 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 8 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆225Updated 2 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• mcgill-smart-transport / bgcp_imputation
  Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation
  ☆32Updated 6 years ago
• brucejunlee / RMT_Theory_Applications
  some important properties on random matrix theory and its applications in multiple areas
  ☆110Updated 7 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 8 years ago
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆36Updated 6 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• JasonAltschuler / OptimalTransportNIPS17
  Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…
  ☆31Updated 8 years ago
• rballester / tensor_notes
  ☆14Updated 7 years ago
• huawei-noah / BHT-ARIMA
  Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
  ☆108Updated 4 years ago
• xinychen / Tensor4ML
  Tensor decomposition for machine learning (w/ Python implementation)
  ☆226Updated last year