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huawei-noah/trustworthyAI

Python

Trustworthy AI related projects

causal-discoverycausal-inferencecausalityindependence-testsmachine-learningpythonstatisticsstructuregraph
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mars 2020avr. 2022juin 2024juil. 2026
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Trustworthy AI

This repository is a collection of trustworthy AI related works from Huawei Noah's Ark Lab.


gCastle

  • A causal structure learning toolchain containing various functionalities related to causal learning and evaluation. A tech report describing the toolbox is available here.
  • The package offers a number of causal discovery algorithms, most of which are gradient-based, hence the name: gradient-based Causal structure learning pipeline.

Competition

  • Information and baselines for causality-related competitions arranged by Noah's Ark Lab.
  • Previous competitions were held at PCIC 2021, PCIC 2022, and NeurIPS 2023.

Datasets

  • Real-world datasets released by Huawei Noah's Ark Lab.
  • Code for generating various synthetic datasets.

Research

  • Research works related to causality. We will continuously add new methods here.
  • Currently contains implementations of CausalVAE, GAE, and causal discovery with reinforcement learning.