Alternatives and similar repositories for bartz

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

• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆112Updated 3 months ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆81Updated last week
• autogluon / fev
  Forecast evaluation library
  ☆134Updated last week
• pymc-devs / pymc-bart
  ☆133Updated last week
• tblume1992 / MFLES
  ☆115Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated last month
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆129Updated last week
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆46Updated 4 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• ran-xie / boosted-conformal
  ☆41Updated 11 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 5 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 9 months ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 4 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆70Updated this week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 3 weeks ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆173Updated last year
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆187Updated 2 months ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 2 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated last week
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 11 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated last week
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated 3 weeks ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆63Updated this week
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆36Updated 2 weeks ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆269Updated 3 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆175Updated last month