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abce

Agent-Based Complete Economy, the Python library that makes AB modelling easier..

adapt

Awesome Domain Adaptation Python Toolbox

aiddata

R package to download project information from AidData 3.0 API

approachingalmost

Approaching (Almost) Any Machine Learning Problem

arf_paper

Code and materials to reproduce adversarial RF paper

awesome-causality-algorithms

An index of algorithms for learning causality with data

bankruptcy_sensitivity

behavioral-responses

PSL module that estimates partial-equilibrium behavioral responses to tax changes simulated by Tax-Calculator

blog

cate-estimator-selection

causal-learn

Python translation (and extension) of the Tetrad java code.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causaldml

Implementation of Double Machine Learning

causalinferenceintro

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。

causalml

Uplift modeling and causal inference with machine learning algorithms

causalml-teaching

This repository consolidates my teaching material for "Causal Machine Learning".

causalmodel

CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.

causaltoolbox

causalxtreme

An R package for causal discovery in heavy-tailed models

cfcausal

R package cfcausal

cfi_mixeddata

Code for paper "Conditional Variable Importance for Mixed Data" by Kristin Blesch, David S. Watson, Marvin N. Wright (2022)

cif

Composite Indicators Framework for Business Cycle Analysis

conquer

Convolution-type Smoothed Quantile Regression

conquer-1

Convolution Smoothed Quantile Regression

counterfact

Counterfact package for plotting counterfactual predictions

covregrf

cqrfactor

An R package to perform composite quantile factor analysis

ctl

A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python

ctlatetest

Code for "Instrument Validity Tests with Causal Trees" MEA DP 1872 http://www.mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/1872_MEA_DP_05_2018.pdf