Causality reading group

An auto generator of alternative representations for Bayesian Networks.

Code and figures for the Differential Causal Inference (DCI) algorithm

Materials for 2017 Myanmar causal network paper (Lim et al. 2017. Conservation Biology).

A Brief Overview of Causal Inference (xaringan presentation)

Experiments on Causality & Reinforcement Learning

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

Applications and validation analyses shown in the manuscript

CASCADE - CAncer Signaling CAusality DatabasE

Causal Abstraction of Neural Models Trained to Solve ReaSCAN

appunti magistrale - informatica

Code accompanying my 2021 ASA SDSS paper

Investigation of network geometry and percolation in directed acyclic graphs (MSci Thesis). Maintained by Ariel Flint Ashery and Kevin Teo. Supervisor: Timothy Evans

Data processing procedure described in the article submitted to JBI Special Issue

A Python package for learning and using causal networks via discrete geometry

A super light-weight web app to create causal loop diagrams (CLD) online. This is useful in Systems Thinking and System Dynamics.

A Python library that helps data scientists to infer causation rather than observing correlation.

A Python package for drug discovery by analyzing causal paths on multiscale networks

Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"