Alternatives and similar repositories for sparse

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

• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆61Updated 5 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 9 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• davidhallac / TVGL
  ☆57Updated 8 years ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆92Updated 2 months ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 10 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• argyriou / multi_task_learning
  Multi-task feature learning
  ☆15Updated 7 years ago
• dunan / MultiVariatePointProcess
  ☆77Updated 8 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• junlulocky / PyBGMM
  Bayesian inference for Gaussian mixture model with some novel algorithms
  ☆53Updated 7 years ago
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated 2 years ago
• fw307 / high_dimensional_regression_comparison
  Empirical comparison of penalized linear regression in high-dimensional settings
  ☆12Updated 5 years ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆144Updated 7 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆132Updated 6 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• JunYongJeong / VSTG-MTL
  Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  ☆13Updated 6 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 8 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 8 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆116Updated 7 years ago
• mehmetgonen / kbmf
  Kernelized Bayesian Matrix Factorization
  ☆17Updated 7 years ago
• andrewssobral / tensor_toolbox
  MATLAB Tensor Toolbox (by Tamara Kolda)
  ☆40Updated 9 years ago
• fabianp / group_lasso
  ☆39Updated 13 years ago
• viggin / yan-prtools
  Yet ANother pattern recognition matlab toolbox
  ☆36Updated 9 years ago
• vinay-jayaram / MTlearning
  Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL
  ☆14Updated 8 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆136Updated 4 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 6 years ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆83Updated 9 years ago
• PhDP / mlbop
  Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
  ☆71Updated 7 years ago