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
  ☆571Updated 2 months ago
• wayfair / pylift
  Uplift modeling package.
  ☆374Updated 2 years ago
• konosp / propensity-score-matching
  ☆104Updated 4 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆54Updated 3 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆424Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated 10 months ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆64Updated last year
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆189Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆643Updated 7 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆228Updated 8 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆84Updated last year
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated 4 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆637Updated last month
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆785Updated 4 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆644Updated last year