Alternatives and similar repositories for nestedcv

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

• stephenbates19 / nestedcv_experiments
  Numerical experiments for nested cross-validation paper
  ☆13Updated 3 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆33Updated 6 months ago
• theodds / SoftBART
  ☆33Updated 3 months ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• MI2DataLab / XAI-tools
  ☆29Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 9 months ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆93Updated last week
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated last week
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆60Updated 2 months ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆70Updated 3 years ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 5 months ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated 2 years ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆11Updated 4 years ago
• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆26Updated 2 weeks ago
• leekgroup / postpi
  ☆23Updated 4 years ago
• haozhestat / rfinterval
  An R package "rfinterval": Predictive Inference on Random Forests
  ☆13Updated 6 years ago
• m-Py / anticlust
  Subset partitioning via anticlustering
  ☆38Updated last month
• karlkumbier / iRF
  ☆14Updated 2 months ago
• ercbk / nested-cross-validation-comparison
  Experimenting with various implementations and methods of nested cross-validation in R and Python
  ☆16Updated last year
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆85Updated 6 months ago
• crflynn / skranger
  scikit-learn compatible Python bindings for ranger C++ random forest library
  ☆55Updated 2 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 4 years ago
• mariarizzo / energy
  energy package for R
  ☆49Updated last year
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆17Updated 2 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• tlverse / sl3
  💪 🤔 Modern Super Learning with Machine Learning Pipelines
  ☆106Updated 7 months ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 3 months ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆64Updated 2 weeks ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆59Updated 2 years ago