{"repo":"huawei-noah/trustworthyAI","free":true,"listed":false,"github":"https://github.com/huawei-noah/trustworthyAI","clone":"git clone https://github.com/huawei-noah/trustworthyAI.git","description":"Trustworthy AI related projects","language":"Python","stars":1133,"topics":["causal-discovery","causal-inference","causality","independence-tests","machine-learning","python","statistics","structure","graph"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"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. - 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.","default_branch":null,"files":null,"tree":[],"storefront":"/r/huawei-noah","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/huawei-noah/trustworthyAI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}