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https://github.com/huawei-noah/trustworthyAI
Trustworthy AI related projects
https://github.com/huawei-noah/trustworthyAI
Last synced: 6 days 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 (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-10-31T14:34:18.000Z (8 days ago)
- Last Synced: 2024-10-31T15:29:26.925Z (8 days ago)
- Language: Python
- Homepage:
- Size: 4.93 MB
- Stars: 963
- Watchers: 21
- Forks: 215
- Open Issues: 32
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-causality-algorithms - Python
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- awesome-deep-learning - Trustworthy AI
README
# 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](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.