{"id":20153067,"url":"https://github.com/huawei-noah/trustworthyai","last_synced_at":"2025-05-14T03:09:05.574Z","repository":{"id":38058230,"uuid":"248501097","full_name":"huawei-noah/trustworthyAI","owner":"huawei-noah","description":"Trustworthy AI related projects","archived":false,"fork":false,"pushed_at":"2025-03-11T09:42:12.000Z","size":10819,"stargazers_count":1039,"open_issues_count":21,"forks_count":230,"subscribers_count":19,"default_branch":"master","last_synced_at":"2025-05-12T04:50:00.620Z","etag":null,"topics":["causal-discovery","causal-inference","causality","graph","independence-tests","machine-learning","python","statistics","structure"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/huawei-noah.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-03-19T12:46:47.000Z","updated_at":"2025-05-10T04:36:50.000Z","dependencies_parsed_at":"2023-11-06T04:28:58.899Z","dependency_job_id":"1ef58fcd-d4e4-4625-bff4-c2ac99aadce4","html_url":"https://github.com/huawei-noah/trustworthyAI","commit_stats":{"total_commits":285,"total_committers":14,"mean_commits":"20.357142857142858","dds":0.5684210526315789,"last_synced_commit":"f2eaa6c0e1c176b31bb48049df38d95f65bf210d"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huawei-noah%2FtrustworthyAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huawei-noah%2FtrustworthyAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huawei-noah%2FtrustworthyAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huawei-noah%2FtrustworthyAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/huawei-noah","download_url":"https://codeload.github.com/huawei-noah/trustworthyAI/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254059508,"owners_count":22007768,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["causal-discovery","causal-inference","causality","graph","independence-tests","machine-learning","python","statistics","structure"],"created_at":"2024-11-13T23:16:56.105Z","updated_at":"2025-05-14T03:09:05.499Z","avatar_url":"https://github.com/huawei-noah.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Trustworthy AI\n\nThis repository is a collection of trustworthy AI related works from Huawei Noah's Ark Lab.  \n\n---\n\n### gCastle\n\n- 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).\n- 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.\n\n### Competition\n\n- Information and baselines for causality-related competitions arranged by Noah's Ark Lab.\n- Previous competitions were held at PCIC 2021, PCIC 2022, and NeurIPS 2023.\n\n### Datasets\n\n- Real-world datasets released by Huawei Noah's Ark Lab.\n- Code for generating various synthetic datasets.\n\n### Research \n \n- Research works related to causality. We will continuously add new methods here.\n- Currently contains implementations of CausalVAE, GAE, and causal discovery with reinforcement learning.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuawei-noah%2Ftrustworthyai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuawei-noah%2Ftrustworthyai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuawei-noah%2Ftrustworthyai/lists"}