briziorusso Goto Github PK

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.

ace

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

ai-deadlines

:alarm_clock: AI conference deadline countdowns

briziorusso

Config files for my GitHub profile.

briziorusso.github.io

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

causal-injection-ffnn

Causal Discovery and Knowledge Injection for Contestable Neural Networks

causal-learn

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

causaldiscoverytoolbox

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

d-struct

dgcit

DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing

diffan

Diffusion Models for Causal Discovery

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.

ficochallenge

Tests on FICO challenge dataset

generalized-score-functions-for-causal-discovery

A generalized score-based method for Causal Discovery

gran-dag

lcit

Latent representation based Conditional Independence Test (LCIT)

ml4c

ML4C: Seeing Causality Through Latent Vicinity

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

score

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

shapleypc

Constraint-based Causal Structure Learning with Shapley values

trustworthyai

trustworthy AI related projects