Alternatives and similar repositories for CTL

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

• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 9 months ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆72Updated 5 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆167Updated 2 years ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 9 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆448Updated 9 months ago
• claudiashi57 / dragonnet
  ☆289Updated 3 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆576Updated 7 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆352Updated 2 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆154Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated 2 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆156Updated 5 years ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆89Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆161Updated 4 years ago
• konosp / propensity-score-matching
  ☆106Updated 5 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆319Updated 3 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…
  ☆345Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆582Updated 6 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆705Updated this week
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆78Updated 2 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆87Updated last year
• wayfair / pylift
  Uplift modeling package.
  ☆376Updated 3 years ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆78Updated 3 years ago
• dropout009 / sdid_python
  replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…
  ☆16Updated 6 years ago
• jgitr / opossum
  ☆17Updated 6 years ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 6 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆483Updated 2 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago