{"id":20019252,"url":"https://github.com/jbris/model-calibration-evaluation","last_synced_at":"2025-05-04T23:31:50.641Z","repository":{"id":180395928,"uuid":"665006588","full_name":"JBris/model-calibration-evaluation","owner":"JBris","description":"Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference","archived":false,"fork":false,"pushed_at":"2024-02-03T15:09:29.000Z","size":4114,"stargazers_count":5,"open_issues_count":5,"forks_count":0,"subscribers_count":4,"default_branch":"main","last_synced_at":"2024-02-04T14:27:21.330Z","etag":null,"topics":["approximate-bayesian-computation","bayesian-optimization","bayesian-statistics","bolfi","deep-learning","differential-evolution-mcmc","generative-neural-network","global-optimization","kriging","likelihood-free-inference","optuna","polynomial-chaos","polynomial-chaos-expansion","pymc","sensitivity-analysis","shuffled-complex-evolution","simulation-based-inference","sobol-indices","surrogate-models","uncertainty-analysis"],"latest_commit_sha":null,"homepage":"https://jbris.github.io/model-calibration-evaluation/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/JBris.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2023-07-11T08:28:17.000Z","updated_at":"2024-02-04T14:27:21.331Z","dependencies_parsed_at":null,"dependency_job_id":"6ca33b12-abbe-4fac-8683-48c7d3106b6c","html_url":"https://github.com/JBris/model-calibration-evaluation","commit_stats":null,"previous_names":["jbris/model-calibration-evaluation"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fmodel-calibration-evaluation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fmodel-calibration-evaluation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fmodel-calibration-evaluation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fmodel-calibration-evaluation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JBris","download_url":"https://codeload.github.com/JBris/model-calibration-evaluation/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224416377,"owners_count":17307412,"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":["approximate-bayesian-computation","bayesian-optimization","bayesian-statistics","bolfi","deep-learning","differential-evolution-mcmc","generative-neural-network","global-optimization","kriging","likelihood-free-inference","optuna","polynomial-chaos","polynomial-chaos-expansion","pymc","sensitivity-analysis","shuffled-complex-evolution","simulation-based-inference","sobol-indices","surrogate-models","uncertainty-analysis"],"created_at":"2024-11-13T08:26:36.703Z","updated_at":"2025-05-04T23:31:50.629Z","avatar_url":"https://github.com/JBris.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# model-calibration-evaluation\n\n[![pages-build-deployment](https://github.com/JBris/model-calibration-evaluation/actions/workflows/pages/pages-build-deployment/badge.svg?branch=main)](https://github.com/JBris/model-calibration-evaluation/actions/workflows/pages/pages-build-deployment)\n[![CodeQL](https://github.com/JBris/model-calibration-evaluation/actions/workflows/github-code-scanning/codeql/badge.svg?branch=main)](https://github.com/JBris/model-calibration-evaluation/actions/workflows/github-code-scanning/codeql)\n\nEvaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference \n\nSee [config.yaml](config.yaml) for the ground-truth simulation parameters.\n\nThe following model calibration methods have been evaluated.\n\n* [Approximate Bayesian Computation - Sequential Monte Carlo](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/abc_smc/run.py)\n* [Bayesian Optimisation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/bayes_opt/run.py)\n* [Bayesian Optimisation for Likelihood-Free Inference](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/bolfi/run.py)\n* [Differential Evolution Adaptive Metropolis](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/dream/run.py)\n* [Experimental Design via Gaussian Process Emulation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/experimental_design/run.py)\n* [Flow Matching Posterior Estimation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/fmpe/run.py)\n* [Genetic Algorithm](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/evotorch/run.py)\n* [Tree-structured Parzen Estimator](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/optimisation/run.py)\n* [Polynomial Chaos Expansion](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/poly_chaos/run.py)\n* [Polynomial Chaos Kriging](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/poly_chaos_kriging/run.py)\n* [Sparse Axis-Aligned Subspace Bayesian Optimization](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/saasbo/run.py)\n* [Shuffled Complex Evolution Algorithm Uncertainty Analysis](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/sceua/run.py)\n* [Sequential Neural Posterior Estimation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/snpe/run.py)\n* [Sobol Sensitivity Analysis](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/sobol_sa/run.py)\n* [Truncated Marginal Neural Ratio Estimation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/tmnre/run.py)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjbris%2Fmodel-calibration-evaluation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjbris%2Fmodel-calibration-evaluation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjbris%2Fmodel-calibration-evaluation/lists"}