Alternatives and similar repositories for notes-on-causal-inference

Users that are interested in notes-on-causal-inference are comparing it to the libraries listed below

• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆248Updated 2 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆158Updated 4 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆572Updated 3 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆579Updated 6 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
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 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 5 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆70Updated 5 months ago
• konosp / propensity-score-matching
  ☆104Updated 4 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆54Updated 4 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• DataForScience / Causality
  ☆470Updated last year
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆477Updated last year
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 5 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆313Updated 2 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆340Updated 11 months ago
• pgmpy / pgmpy_tutorials
  Tutorials on Causal Inference and pgmpy
  ☆384Updated last month