Alternatives and similar repositories for CausalInference

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

• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• ijmbarr / reducing-variance-ab-tests
  Some notes on techniques for variance reduction to increase the power of A/B tests
  ☆14Updated 6 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).
  ☆60Updated 3 months ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆12Updated 5 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 7 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆84Updated 7 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆157Updated 4 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated 3 months ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆103Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆84Updated last year
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 6 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago