yezichu

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

lingam

Python package for causal discovery based on LiNGAM.

539b

(Advanced) Applied Econometrics

HypEx

Fast and customizable framework for automatic and quick Causal Inference in Python

kernel_regression

Implementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.

CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

pygformula

The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

2024-causal-inference-machine-learning

TestMDP

Implementation of "Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making”(ICML 2020) in Python

causaltensor

A python package for causal inference in panels

causal-me

Causal Inference with a Continuous Error-Prone Exposure

causal-fairness

Causal Conceptions of Fairness and their Consequences

hal-workshops

Teaching materials for HAL workshops and short courses

CausalInference

Project for Math 522 at BYU. We are interested in understanding causal inference in deep learning.

confound_it

interference-review

A review of causal inference approaches with partial interference

hidmed

Causal Inference with Hidden Mediators

eliater

A high level, end-to-end causal inference workflow

mekiv

causal-inference

Course repository for BIOST 578: Causal Inference for Biomedical Studies (Spring 2024) with Dr. Ting Ye

my-causality-book

causalGossipSub

Causal Discovery and Analysis of GossipSub over the XRP Ledger

causality-and-experimentation

Portfolio projects on Data Analysis, Data Visualization and Machine Learning

STEAM

DR_distributional_test

This repo contains the code for the paper "Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects"

Causal_ML_For_EEG

Diagnosis and Causal Analysis of Depression Based on EEG Features and Machine Learning: 对EEG脑电信号与抑郁症关系的因果分析

causal_data_science

Lab Sessions - Causal Data Science for Business Analytics (Summer Term 2024)

ml-notes

Notes on machine learning topics, including machine learning & pattern recognition, probabilistic modelling and reasoning, and causal inference.

DML-IV

Implementation of Learning Decision Policies with Instrumental Variables through Double Machine Learning

causal-inference

Learning and exploration through causal inference topics