DoubleML / doubleml-for-pyLinks
DoubleML - Double Machine Learning in Python
☆598Updated this week
Alternatives and similar repositories for doubleml-for-py
Users that are interested in doubleml-for-py are comparing it to the libraries listed below
Sorting:
- A Python package for modular causal inference analysis and model evaluations☆782Updated 2 months ago
- A Python package for causal inference in quasi-experimental settings☆1,009Updated this week
- AutoML for causal inference.☆222Updated 6 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆767Updated 10 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆640Updated 5 months ago
- ☆493Updated 6 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆329Updated 8 months ago
- Code for the Book Causal Inference in Python☆321Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆723Updated 2 years ago
- Causal Inference in Python☆568Updated 4 years ago
- A curated list of causal inference libraries, resources, and applications.☆1,008Updated 2 months ago
- A Python package for causal inference using Synthetic Controls☆185Updated last year
- Python package for causal discovery based on LiNGAM.☆425Updated this week
- A data index for learning causality.☆468Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- A resource list for causality in statistics, data science and physics☆264Updated last week
- Generalized Random Forests☆1,031Updated last month
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆236Updated this week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆524Updated last month
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 10 months ago
- An extension of XGBoost to probabilistic modelling☆624Updated last month
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated this week
- Working repository for Causal Tree and extensions☆443Updated 2 months ago
- An extension of LightGBM to probabilistic modelling☆316Updated last year
- Code and notebooks for my Medium blog posts☆126Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆99Updated 2 months ago
- Data Efficient Decision Making☆247Updated 3 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,382Updated this week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆873Updated this week