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1. A toolbox for the calibration and evaluation of simulation models.

   Python 18 2

2. Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

   Python 15 2

3. Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Pr…

   Python 18 3

4. Several examples of anomaly detection algorithms for time series data.

   Python 16 3

5. A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling

   Dockerfile 20 5

6. A simple search tool to retrieve git repo information from GitHub, GitLab, and Bitbucket. Uses aiohttp and Graphene for server-side API searches, and Vue.js for client-side rendering.

   Vue 9 2