Alternatives and similar repositories for sparsebn

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

• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 11 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• tbjohns / BlitzL1
  Fast, principled L1-regularized loss minimization
  ☆24Updated last year
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆41Updated 3 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆13Updated 8 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 10 months ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆50Updated 4 years ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆69Updated 7 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆21Updated 4 years ago
• gelman / ep-stan
  ☆32Updated 5 years ago
• jeffwong / cudaglmnet
  A lasso solver on the GPU
  ☆12Updated 12 years ago
• vkrakovna / sbfc
  Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…
  ☆16Updated 3 years ago
• zachmayer / rbm
  Restricted Boltzmann Machines in R
  ☆36Updated 4 years ago
• isidroc / conformal
  Conformal prediction in R
  ☆32Updated 6 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• ShirinG / ShirinG.github.io
  Shirin's playgRound - exploring and playing with data in R
  ☆18Updated 6 years ago
• lrouviere / AGB
  These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
  ☆17Updated 7 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• ajverster / RotationForest
  An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006
  ☆18Updated 12 years ago
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆100Updated 4 years ago
• dmarcous / CRAN_deepboost
  Deepboost R-package for submission
  ☆19Updated 7 years ago
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated last year
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago