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xxavier's Projects

aix360 icon aix360

Interpretability and explainability of data and machine learning models

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

causal-learn icon causal-learn

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

causaldiscoverytoolbox icon causaldiscoverytoolbox

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

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

causaltree icon causaltree

Working repository for Causal Tree and extensions

corels icon corels

Learning Certifiably Optimal Rule Lists

dafny icon dafny

Dafny is a verification-aware programming language

decision-rules-network icon decision-rules-network

This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".

dowhy icon 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.

grf icon grf

Generalized Random Forests

loghub icon loghub

A large collection of system log datasets for AI-powered log analytics

loglizer icon loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

mlic icon mlic

A new framework to generate interpretable classification rules

oslo.policy icon oslo.policy

Rules engine to enforce access control policy. Mirror of code maintained at opendev.org.

policyuniverse icon policyuniverse

Parse and Process AWS IAM Policies, Statements, ARNs, and wildcards.

td icon td

Cross-platform library for building Telegram clients

tetrad icon tetrad

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

z3 icon z3

The Z3 Theorem Prover

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