Alternatives and similar repositories for causalML-lecturenotes

Users that are interested in causalML-lecturenotes are comparing it to the libraries listed below

• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆447Updated 5 months 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
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆737Updated 2 years ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated this week
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,059Updated 5 months ago
• grf-labs / grf
  Generalized Random Forests
  ☆1,046Updated 2 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆191Updated last year
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆660Updated last month
• laurencium / Causalinference
  Causal Inference in Python
  ☆572Updated 3 months ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• gsbDBI / ExperimentData
  ☆238Updated 2 years ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆339Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆783Updated 3 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆477Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆105Updated 3 weeks ago
• synth-inference / synthdid
  Synthetic difference in differences
  ☆288Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆579Updated 6 years ago
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆433Updated 3 months ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,322Updated 3 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 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
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 5 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆116Updated 4 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆313Updated 2 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆158Updated 4 years ago
• claudiashi57 / dragonnet
  ☆281Updated 3 years ago