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

Tools for experimenting and working with LLMs.

All configuration for my developer setup.

Example code and notes for using Microsoft Azure

A toy workload orchestrator in Go

MLOps tutorial using Python, Docker and Kubernetes.

A repo for storing my efforts at learning Go

Hector & Thomas Productions Ltd.

My personal Homebrew tap

Terraform module for deep learning friendly remote development workstations on AWS

My GitHub Pages website and blog about all things (data) science and probably a lot more.

Python source code for generating my website at alexaioannides.github.io.

Exploring the classical regression capabilities of LLMs.

My adventures learning Rust

Various Python tools, by Alex Ioannides (AI). Some of them might be useful for artificial intelligence and some of them might not.

A pattern for developing libraries of reusable Kubeflow Pipeline components.

Study notes and demos.

Developing generative language models using transformers.

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

Algorithms and code 🙂

Dimensionality reduction experiments using deep learning techniques.

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.

Implementing best practices for PySpark ETL jobs and applications.

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