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…
  ☆66Updated 5 months ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆68Updated 4 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
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆81Updated 9 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆179Updated 11 months ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆71Updated 9 months ago
• claudiashi57 / dragonnet
  ☆253Updated 2 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆131Updated 6 months ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆155Updated 3 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• konosp / propensity-score-matching
  ☆102Updated 3 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 7 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆104Updated 3 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆435Updated 4 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆149Updated 4 years ago
• benmiroglio / pymatch
  ☆280Updated last year
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated this week
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2022)
  ☆12Updated 7 months ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆117Updated 10 months 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
  ☆81Updated 6 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆343Updated last year
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆74Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆96Updated last year
• laurencium / Causalinference
  Causal Inference in Python
  ☆553Updated 4 years ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆77Updated 2 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆52Updated 3 years ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago