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.