Alternatives and similar repositories for picasso:

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

• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆34Updated 2 months ago
• pbreheny / ncvreg
  Regularization paths for SCAD- and MCP-penalized regression models
  ☆42Updated last month
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆68Updated 7 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 6 months ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• david-cortes / poismf
  (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
  ☆46Updated 10 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated last year
• CY-dev / hqreg
  Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
  ☆10Updated 6 months ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆99Updated last year
• selective-inference / Python-software
  Python software for selective inference
  ☆53Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆12Updated 5 years ago
• gabrielrvsc / BooST
  ☆17Updated 3 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 10 months ago
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆44Updated 8 months ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• softmin / ReHLine
  Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
  ☆41Updated last year
• rtavenar / SparseGroupLasso
  ☆39Updated 5 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆63Updated last year
• ryantibs / convexopt-book1
  Convex optimization for statistics and machine learning
  ☆16Updated 3 months ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• helske / KFAS
  KFAS: R Package for Exponential Family State Space Models
  ☆65Updated 3 weeks ago
• ehkennedy / npcausal
  ☆94Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year