Experimenting with the use of AI/ML for playing simple games - e.g., Noughts and Crosses.

MLOps tutorial using Python, Docker and Kubernetes.

Exploring the classical regression capabilities of LLMs.

A pattern for developing libraries of reusable Kubeflow Pipeline components.

Local pipelines for local people

Developing generative language models using transformers.

Python package template project for kick-starting new Python projects.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Automated testing and deployment of a simple Flask-based (RESTful) micro-service to a production-like environment on AWS, using Docker containers and Travis-CI.

Implementing best practices for PySpark ETL jobs and applications.

Demonstrating how Bodywork can be used to deploy a simulation of the lifecycle of a train-and-serve ML pipeline, responding to new data undergoing concept drift.

Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes

Predicting transportation usage in NYC using BigQuery and Vertex AI pipelines on GCP.

Have an idea for a Python package? Register the name on PyPI 💡

Lightweight Elasticsearch client for R.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.

Bayesian Inference and parameter estimation in quant finance.

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.