Alternatives and similar repositories for tunability

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

• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago
• ModelOriented / triplot
  Triplot: Instance- and data-level explanations for the groups of correlated features.
  ☆9Updated 4 years ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 11 months ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• gathanei / xyz
  The xyz algorithm for fast interaction search in high-dimensional data.
  ☆13Updated 7 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆21Updated 4 years ago
• almost-matching-exactly / R-FLAME
  R Implementation of FLAME, DAME, and other algorithms in the AME framework
  ☆13Updated 2 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆19Updated 3 months ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year
• gravesee / rulefit
  Fit Lasso model to binary rules created from tree ensembles
  ☆12Updated 7 years ago
• mlr-org / mlr3fairness
  mlr3 extension for Fairness in Machine Learning
  ☆14Updated 2 weeks ago
• karlkumbier / iRF
  ☆14Updated 2 months ago
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated last year
• robjhyndman / reconciliation_review_talk
  ☆12Updated 4 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
• tedwestling / ctsCausal
  ☆10Updated 2 years ago
• ModelOriented / EloML
  R package EloML: Elo rating system for machine learning models
  ☆25Updated 2 years ago
• haozhestat / RFIntervals
  The R code and datasets for the paper "Random Forest Prediction Intervals"
  ☆14Updated 6 years ago
• tsrobinson / SyGNet
  Synthetic data using Generative Adversarial Networks
  ☆12Updated last year
• mayer79 / MetricsWeighted
  R package for weighted model metrics
  ☆11Updated last month
• mlr-org / farff
  a faster arff parser
  ☆12Updated 4 years ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 years ago
• AlexanderHenzi / isodistrreg
  Isotonic Distributional Regression (IDR)
  ☆16Updated last year
• ludovikcoba / rrecsys
  rrecsys: Environment for Assessing Recommender Systems
  ☆23Updated 3 years ago
• soerenkuenzel / hte
  ☆34Updated 2 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• gabrielrvsc / BooST
  ☆17Updated 3 years ago