Eliot: the logging system that tells you *why* it happened

Python package for causal discovery based on LiNGAM.

YLearn, a pun of "learn why", is a python package for causal inference

A Python package for causal inference using Synthetic Controls

Python package for Granger causality test with nonlinear forecasting methods.

Causing: CAUsal INterpretation using Graphs

Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://arxiv.org/abs/1702.07007 is available at https://github.com/jakobrunge/tigramite!

金融文本中的原因事件

Identifying reasons for human actions in lifestyle vlogs.

RL-based Causal Discovery with Prior Knowledge

Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)

Code base for our paper "Connectivity-Inspired Network for Context-Aware Recognition" (ECCV 2024, Human-inspired Computer Vision workshop)

Code accompanying my 2021 ASA SDSS paper

A Powerful Python Library for Causal Inference

Master's degree thesis project using Debiased Machine Learning to estimate treatment effects from economic policy in US funds performance.

Anaysing Asymmetries in Causality using Convergent Cross Mapping for Epilepsy

Counterfactual causal analysis

Detecting epilepsy seizures by using deep learning models on causal asymmetries in EEG data

This project analyses whether people who have attained job trainings makes more money than those who have not attained these trainings.

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable