Alternatives and similar repositories for skranger

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

• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆43Updated 3 years ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆90Updated last year
• matrix-profile-foundation / tsmp
  R Functions implementing UCR Matrix Profile Algorithm
  ☆75Updated 3 years ago
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆170Updated last week
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆60Updated this week
• mariarizzo / energy
  energy package for R
  ☆47Updated last year
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 7 months ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆70Updated 3 years ago
• rstudio / vetiver-python
  Version, share, deploy, and monitor models.
  ☆69Updated 8 months ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆43Updated 4 years ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated last month
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 5 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆32Updated 2 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 months ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 2 months ago
• vinecopulib / rvinecopulib
  R interface to the vinecopulib C++ library
  ☆35Updated last month
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆77Updated last week
• theodds / SoftBART
  ☆32Updated last month
• vinecopulib / vinecopulib
  A C++ library for vine copula models (w/ interfaces to R + Python)
  ☆36Updated 3 weeks ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated 2 weeks ago
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆58Updated 3 years ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆113Updated 3 years ago
• rkillick / changepoint
  A place for the development version of the changepoint package on CRAN.
  ☆138Updated 11 months ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 10 months ago