{"id":16517905,"url":"https://github.com/mtsokol/epidemic-modelling-workshop","last_synced_at":"2025-03-02T19:41:03.639Z","repository":{"id":82426575,"uuid":"308984348","full_name":"mtsokol/epidemic-modelling-workshop","owner":"mtsokol","description":"An introduction to sensitivity analysis and 4D-Var data assimilation method in epidemic modelling setting","archived":false,"fork":false,"pushed_at":"2021-02-09T11:50:43.000Z","size":448,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-13T06:43:22.689Z","etag":null,"topics":["4d-var","data-assimilation","seir-model","sensitivity-analysis","tensorflow"],"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/mtsokol.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}},"created_at":"2020-10-31T22:41:49.000Z","updated_at":"2021-02-09T11:57:07.000Z","dependencies_parsed_at":null,"dependency_job_id":"5f01f53c-554d-4d2a-a617-7ed98bafd54f","html_url":"https://github.com/mtsokol/epidemic-modelling-workshop","commit_stats":{"total_commits":11,"total_committers":2,"mean_commits":5.5,"dds":0.09090909090909094,"last_synced_commit":"25da7c23ce19fdc117249a2e01fc84e4af94dd4b"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtsokol%2Fepidemic-modelling-workshop","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtsokol%2Fepidemic-modelling-workshop/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtsokol%2Fepidemic-modelling-workshop/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mtsokol%2Fepidemic-modelling-workshop/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mtsokol","download_url":"https://codeload.github.com/mtsokol/epidemic-modelling-workshop/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241564433,"owners_count":19982958,"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":["4d-var","data-assimilation","seir-model","sensitivity-analysis","tensorflow"],"created_at":"2024-10-11T16:34:13.724Z","updated_at":"2025-03-02T19:41:03.608Z","avatar_url":"https://github.com/mtsokol.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Epidemic Modelling - SIR workshop\n\nWorkshop is comprised of two notebooks:\n\n1. Introduction to the `SIR` model, sensitivity analysis (local with TensorFlow and global with SALib)\n2. `4D-Var` methodology, epidemic modelling and prediction for New Zealand cases\n\nRequired dependencies in `requirements.txt`\n\n`master` branch contains filled notebooks with solutions, where `class-version` branch is prepared with blank fields (tasks) to be completed by students.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtsokol%2Fepidemic-modelling-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmtsokol%2Fepidemic-modelling-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtsokol%2Fepidemic-modelling-workshop/lists"}