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
  ☆250Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated 2 years ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆337Updated last month
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆319Updated 2 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• pymc-devs / pymc-bart
  ☆132Updated this week
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆233Updated 11 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆799Updated 8 months ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• MaxHalford / sorobn
  🧮 Bayesian networks in Python
  ☆261Updated last week
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 8 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 5 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆291Updated this week
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last month
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆681Updated last week
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆357Updated this week
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 7 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆431Updated 2 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 months ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago