# trustworthyAI

**Repository Path**: mirrors_huawei-noah/trustworthyAI

## Basic Information

- **Project Name**: trustworthyAI
- **Description**: Trustworthy AI related projects
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-09-24
- **Last Updated**: 2026-05-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Trustworthy AI

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

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### gCastle

- A causal structure learning toolchain containing various functionalities related to causal learning and evaluation. A tech report describing the toolbox is available [here](https://arxiv.org/abs/2111.15155).
- The package offers a number of causal discovery algorithms, most of which are gradient-based, hence the name: **g**radient-based **Ca**usal **st**ructure **le**arning 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.