Alternatives and similar repositories for sgd

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

• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆12Updated 8 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 9 months ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 3 months ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 6 years ago
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated last year
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆41Updated 3 years ago
• nullsatz / gputools
  gputools R package for gpu computing
  ☆68Updated 6 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 6 years ago
• stan-dev / loo
  loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
  ☆154Updated 2 weeks ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆75Updated 8 months ago
• gelman / ep-stan
  ☆32Updated 5 years ago
• zachmayer / rbm
  Restricted Boltzmann Machines in R
  ☆36Updated 4 years ago
• vasishth / BayesLMMTutorial
  Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
  ☆83Updated 8 years ago
• rcppmlpack / RcppMLPACK1
  ☆60Updated 5 years ago
• hongooi73 / glmnetUtils
  Utilities for glmnet
  ☆65Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• kingaa / pomp
  R package for statistical inference using partially observed Markov processes
  ☆116Updated last month
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 7 months ago
• gathanei / xyz
  The xyz algorithm for fast interaction search in high-dimensional data.
  ☆13Updated 7 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last week
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 5 months ago