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
  ☆245Updated 2 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year
• pymc-devs / pymc-bart
  ☆121Updated last week
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆316Updated 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆167Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆224Updated 6 months ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆287Updated last year
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆85Updated 5 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆569Updated 3 weeks ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆271Updated 2 weeks ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆421Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆781Updated 3 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆154Updated 10 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆339Updated 2 weeks ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆329Updated last week
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• benmiroglio / pymatch
  ☆290Updated 2 years ago
• madrury / basis-expansions
  Basis expansion transformers in sklearn style.
  ☆97Updated 5 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated last month
• parsing-science / pymc3_models
  ☆159Updated 2 years ago