huawei-noah/trustworthyAI
A causal structure learning pipeline from Huawei Noah's Ark Lab providing causal discovery algorithms, evaluation tools, and datasets.
Not currently ranked — collecting fresh signals.
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This repository provides gCastle, a comprehensive causal learning toolchain implementing various causal discovery algorithms including gradient-based methods, CausalVAE, and graph autoencoders. It includes utilities for independence testing, synthetic and real-world dataset generation, and benchmarking tools used in NeurIPS and other competitions. The library supports structure learning evaluation and research in causal inference methods.
Frequently asked
- What is huawei-noah/trustworthyAI?
- A causal structure learning pipeline from Huawei Noah's Ark Lab providing causal discovery algorithms, evaluation tools, and datasets.
- Is trustworthyAI open source?
- Yes — huawei-noah/trustworthyAI is open source, released under the Apache-2.0 license.
- What language is trustworthyAI written in?
- huawei-noah/trustworthyAI is primarily written in Python.
- How popular is trustworthyAI?
- huawei-noah/trustworthyAI has 1.1k stars on GitHub.
- Where can I find trustworthyAI?
- huawei-noah/trustworthyAI is on GitHub at https://github.com/huawei-noah/trustworthyAI.