Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / JBris / model-calibration-evaluation
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fmodel-calibration-evaluation
Stars: 5
Forks: 0
Open Issues: 5
License: mit
Language: Python
Repo Size: 3.92 MB
Dependencies: pending
Created: 10 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
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