Alternatives and similar repositories for doubleml-for-py

Users that are interested in doubleml-for-py are comparing it to the libraries listed below

• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆795Updated 6 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,046Updated last week
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 10 months ago
• microsoft / causica
  ☆504Updated 10 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆654Updated 9 months ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆346Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆785Updated 4 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 4 months ago
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,064Updated 6 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 3 weeks ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆739Updated 2 years ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆548Updated last week
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated 2 weeks ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆270Updated this week
• 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…
  ☆341Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆154Updated last month
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆937Updated last month
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• grf-labs / grf
  Generalized Random Forests
  ☆1,050Updated 2 weeks ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 5 months ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆449Updated last week
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆243Updated last week
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆107Updated last month
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago