Alternatives and similar repositories for bartpy

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

• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• pymc-devs / pymc-bart
  ☆122Updated last week
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆789Updated 5 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆250Updated last year
• MaxHalford / sorobn
  🧮 Bayesian networks in Python
  ☆259Updated 3 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆333Updated 2 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆279Updated last week
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆345Updated last month
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆423Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 weeks ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 2 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated last year
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆230Updated 8 months ago
• JingyuHe / XBART
  ☆92Updated 9 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago