A workshop covering the calibration of agent-based models.

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

Comparison between fully Bayesian model fitting, Approximate Bayesian Computation, and neural simulation-based inference

Testing the development of an MCP server for Influx v2 in Python

Code and data for the publication: Automated reading of vertebral images for aging shortfin mako (Isurus oxyrinchus) using Bayesian deep learning

Docker deployment of structurizr

Bayesian optimal experimental design, optimisation, and active learning with different acquisition functions

Plotly Dashboard for calibrating WOFOST 7.2

Quick demonstration of using R with Kubernetes

Testing Pydantic, FastAPI, polyfactory, pandera and GraphQL with SQLModel and pydantic-mongo

Testing rendering Jupter notebooks in Sphinx

Automated feature engineering

Testing out statistical models for generating synthetic tabular data.

Testing out Redis Streams using Python client

Testing LinkML for generating Pydantic data models alongside polyfactory for mock data.

Testing MQTT using Docker and the Paho Python client

Testing deploying R models using vetiver.