Demonstration of Jackson data models

Tabular Graph Transformer (TabGT) for tabular and graph representation learning.

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

Material for the Stat Genet workshop in Lincoln - April 2024

Horseshoe regression model fitted in PyMC.

Testing out SeaweedFS for s3 storage. Particularly for MLOps purposes.

Testing deployment of PyMC models using MLFlow and BentoML.

Evaluating Deep Gaussian processes

A simple demonstration of an Airflow-Kafka-Spark (AKS) stack for online time series forecasting.

A test Docker build for SLURM with the SLURM REST API configured.

Testing the integration of MLFlow and BentoML

Trying out the hypothesis library for property-based testing

Testing PyCaret, Fugue, and Dask

Testing the Pluggy Python library and creating a composable pipeline.

Comparison between several Python data profile libraries.

Resources for uBlock Origin, uMatrix: static filter lists, ready-to-use rulesets, etc.

Library for HERA data reduction, including redundant calibration, absolute calibration, and LST-binning.

lightweight, standalone C++ inference engine for Google's Gemma models.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Example of a simple FastAPI and React app using GraphQL

Docker setup for Apache Spark and the R sparklyr package

Docker setup for ClickHouse and Postgres

Docker setup for Metabase and Postgres

Tutorials for the synthetic control method for causal inference using PyMC

Nitrogen balance model components and test procedures

Move2Kube is a command-line tool for automating creation of Infrastructure as code (IaC) artifacts. It has inbuilt support for creating IaC artifacts for replatforming to Kubernetes/Openshift.

Bringing building energy simulation and statistical learning together