briziorusso

ShapleyPC

Estimate causal graphs from observational data using independence tests and game theory

py-tetrad

Makes algorithms/code in Tetrad available in Python via JPype

ArgCausalDisco

Argumentative Causal Discovery

causality-lab

Causal discovery algorithms and tools for implementing new ones

briziorusso.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

imperial_latex_templates

Official LaTeX templates employing the Imperial College London brand.

pcalg

:exclamation: This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https://pcalg.r-forge.r-project.org/

causal-injection-FFNN

Causal Discovery and Knowledge Injection for Contestable Neural Networks

ABAplus

Modules that perform computations related to ABA+. Includes web app that already runs on www-abaplus.doc.ic.ac.uk. 2016 UROP project supervised by K. Čyras and F. Toni.

causal-learn

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

trustworthyAI

trustworthy AI related projects

d-struct

DiffAN

Diffusion Models for Causal Discovery

GraN-DAG

dowhy

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.

ML4C

ML4C: Seeing Causality Through Latent Vicinity

ai-deadlines

:alarm_clock: AI conference deadline countdowns

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

LCIT

Latent representation based Conditional Independence Test (LCIT)

CausalDiscoveryToolbox

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

SCORE

Code used in the paper "Score matching enables causal discovery of nonlinear additive noise models", Rolland et al., ICML 2022

jax-dag-gflownet

Code for "Bayesian Structure Learning with Generative Flow Networks"

dgcit

DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing

briziorusso

Config files for my GitHub profile.

FICOchallenge

Tests on FICO challenge dataset

Generalized-Score-Functions-for-Causal-Discovery

A generalized score-based method for Causal Discovery

ACE

Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).