An Overview of Earth Observation in Poverty Research
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Updated
May 30, 2024 - TeX
An Overview of Earth Observation in Poverty Research
NORmet for Automated Air Quality Intervention Studies
Fast and customizable framework for automatic and quick Causal Inference in Python
A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
Causal Understanding and Remediation for Enhancing Robot Performance
Taking causal inference to the extreme!
DoubleML - Double Machine Learning in Python
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
[Experimental] Global causal discovery algorithms
Lab Sessions - Causal Data Science for Business Analytics (Summer Term 2024)
Sensitivity analysis tools for causal ML
Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"
가짜연구소 <인과추론과 실무> 프로젝트
Replicating papers from the epidemiology and causal inference literature.
A curated list of causal inference libraries, resources, and applications.
causalimages: An R package for performing causal inference with image and image sequence data
DoubleML - Double Machine Learning in R
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