{"id":24525805,"url":"https://github.com/camsai/notebooks","last_synced_at":"2025-10-27T10:12:20.768Z","repository":{"id":267916593,"uuid":"902708404","full_name":"camsai/notebooks","owner":"camsai","description":"CAMSAI Notebooks provides interactive Jupyter notebooks for AI-driven materials science research. These notebooks demonstrate the use of CAMSAI tools, schemas, and workflows, offering hands-on examples for data validation, materials design, and AI integration to accelerate scientific discovery.","archived":false,"fork":false,"pushed_at":"2024-12-13T08:50:42.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-22T05:30:52.668Z","etag":null,"topics":["artificial-intelligence","chemistry","data-science","data-standards","data-structures","data-visualization","density-functional-theory","machine-learning","materials","materials-design","materials-informatics","materials-science","modeling-and-simulation","molecular-dynamics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/camsai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2024-12-13T05:34:21.000Z","updated_at":"2024-12-13T10:36:53.000Z","dependencies_parsed_at":"2024-12-13T08:36:53.705Z","dependency_job_id":null,"html_url":"https://github.com/camsai/notebooks","commit_stats":null,"previous_names":["camsai/notebooks"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camsai%2Fnotebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camsai%2Fnotebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camsai%2Fnotebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camsai%2Fnotebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/camsai","download_url":"https://codeload.github.com/camsai/notebooks/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243753987,"owners_count":20342537,"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":["artificial-intelligence","chemistry","data-science","data-standards","data-structures","data-visualization","density-functional-theory","machine-learning","materials","materials-design","materials-informatics","materials-science","modeling-and-simulation","molecular-dynamics"],"created_at":"2025-01-22T05:28:57.583Z","updated_at":"2025-10-27T10:12:20.714Z","avatar_url":"https://github.com/camsai.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Empty main branch\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamsai%2Fnotebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcamsai%2Fnotebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamsai%2Fnotebooks/lists"}