grf-labs / grfLinks
Generalized Random Forests
☆1,038Updated last week
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 3 months ago
- DoubleML - Double Machine Learning in Python☆626Updated 2 weeks ago
- Repository with code and slides for a tutorial on causal inference.☆577Updated 5 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,315Updated 3 years ago
- Causal Inference in Python☆570Updated last month
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,186Updated last year
- An R package for causal inference in time series☆1,752Updated 2 years ago
- A Python package for modular causal inference analysis and model evaluations☆782Updated 4 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆333Updated 9 months ago
- A curated list of causal inference libraries, resources, and applications.☆1,035Updated 3 months ago
- A Python package for causal inference using Synthetic Controls☆187Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆775Updated last month
- Must-read papers and resources related to causal inference and machine (deep) learning☆730Updated 2 years ago
- A data index for learning causality.☆472Updated last year
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,233Updated this week
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆113Updated 4 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆426Updated this week
- Data and Program files for Causal Inference: The Mixtape☆427Updated last month
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆278Updated 2 years ago
- ☆238Updated 2 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,427Updated last month
- Synthetic difference in differences☆285Updated last year
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,015Updated 2 weeks ago
- ☆276Updated 3 years ago
- A Python package for causal inference in quasi-experimental settings☆1,026Updated this week
- Counterfactual Regression☆311Updated 2 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆22Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago