Alternatives and similar repositories for pymatch

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

• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 4 months ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆376Updated 3 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆54Updated 4 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• konosp / propensity-score-matching
  ☆105Updated 4 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆78Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆328Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆672Updated this week
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 9 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 10 months ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 6 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆797Updated 7 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆657Updated 10 months ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated last year
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆318Updated 2 years ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,331Updated 3 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 years ago