Alternatives and similar repositories for bartz

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

• pymc-devs / pymc-bart
  ☆130Updated this week
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆111Updated 2 months ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆79Updated 2 weeks ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• autogluon / fev
  Forecast evaluation library
  ☆130Updated last week
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆69Updated last week
• vincentblot28 / conformalized_gp
  ☆48Updated 10 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆124Updated last week
• tblume1992 / MFLES
  ☆115Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆46Updated 3 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated this week
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 11 months ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 4 months ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆173Updated 3 weeks ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆265Updated 2 months ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆60Updated this week
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆35Updated 3 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆32Updated 3 weeks ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 3 weeks ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated 3 weeks ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆33Updated 2 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 3 months ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆127Updated last week
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆361Updated last week
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆139Updated last week