grf-labs / grfLinks
Generalized Random Forests
☆1,028Updated last month
Alternatives and similar repositories for grf
Users that are interested in grf are comparing it to the libraries listed below
Sorting:
- Working repository for Causal Tree and extensions☆443Updated last month
- DoubleML - Double Machine Learning in Python☆597Updated this week
- Causal Inference in Python☆568Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆575Updated 5 years ago
- A data index for learning causality.☆468Updated last year
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,141Updated this week
- Must-read papers and resources related to causal inference and machine (deep) learning☆718Updated 2 years ago
- An R package for causal inference in time series☆1,742Updated last year
- A Python package for modular causal inference analysis and model evaluations☆779Updated 2 months ago
- ☆234Updated 2 years ago
- Synthetic difference in differences☆283Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,310Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,178Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆762Updated 10 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆2,962Updated 5 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆328Updated 7 months ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆111Updated 4 years ago
- ☆268Updated 3 years ago
- A Python package for causal inference using Synthetic Controls☆184Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆252Updated 7 months ago
- A Python package for causal inference in quasi-experimental settings☆1,001Updated this week
- Tools for causal analysis☆1,077Updated 2 months ago
- Counterfactual Regression☆307Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,424Updated this week
- Combining tree-boosting with Gaussian process and mixed effects models☆607Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆348Updated 2 years ago
- A curated list of causal inference libraries, resources, and applications.☆995Updated last month
- DoubleML - Double Machine Learning in R☆146Updated last month
- Data and Program files for Causal Inference: The Mixtape☆423Updated 3 months ago