https://github.com/huawei-noah/trustworthyAI

Trustworthy AI related projects
https://github.com/huawei-noah/trustworthyAI

causal-discovery causal-inference causality graph independence-tests machine-learning python statistics structure

Last synced: about 1 month ago
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Trustworthy AI related projects

• Host: GitHub
• URL: https://github.com/huawei-noah/trustworthyAI
• Owner: huawei-noah
• License: apache-2.0
• Created: 2020-03-19T12:46:47.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2025-03-11T09:42:12.000Z (about 2 months ago)
• Last Synced: 2025-03-27T18:01:49.084Z (about 1 month ago)
• Topics: causal-discovery, causal-inference, causality, graph, independence-tests, machine-learning, python, statistics, structure
• Language: Python
• Homepage:
• Size: 10.3 MB
• Stars: 1,025
• Watchers: 19
• Forks: 230
• Open Issues: 19
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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.