Alternatives and similar repositories for causality

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

• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆85Updated 5 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆31Updated 2 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆38Updated 5 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 4 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• pymc-devs / pymc-bart
  ☆121Updated last week
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated last week
• sidravi1 / Blog
  ☆24Updated 4 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 6 years ago
• omarfsosa / tech-talk-hierarchical-models
  ☆41Updated 3 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated 2 weeks ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆94Updated 10 months ago
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆24Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 6 months ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆111Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• parsing-science / pymc3_models
  ☆159Updated 2 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago