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JBris / model-calibration-evaluation
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
bayesian-optimization bayesian-statistics pymc sensitivity-analysis uncertainty-analysis polynomial-chaos polynomial-chaos-expansion differential-evolution-mcmc sobol-indices global-optimization approximate-bayesian-computation kriging surrogate-models optuna shuffled-complex-evolution likelihood-free-inference bolfi simulation-based-inference deep-learning generative-neural-network
Language:Python 7