Alex Ioannides's repositories
pyspark-example-project
Implementing best practices for PySpark ETL jobs and applications.
kubernetes-mlops
MLOps tutorial using Python, Docker and Kubernetes.
pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
py-package-template
Python package template project for kick-starting new Python projects.
ml-workflow-automation
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.
elasticsearchr
Lightweight Elasticsearch client for R.
py-docker-aws-example-project
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.
pymc-stochastic-process
Bayesian Inference and parameter estimation in quant finance.
pymc-advi-hmc-demo
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
lime-interpretable-ml
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.
notes-and-demos
Study notes and demos.
bodywork-mlops-demo
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.
transformers-gen-ai
Developing generative language models using transformers.
pycaret-mlops
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes
alexioannides.github.io
My GitHub Pages website and blog about all things (data) science and probably a lot more.
alexioannides
Python source code for generating my website at alexaioannides.github.io.
registerit
Have an idea for a Python package? Register the name on PyPI 💡
bodywork-core
An open-source deployment automation tool for machine learning in Python, on Kubernetes. Run batch jobs, serve models and deploy ML pipelines without the DevOps headache. Accelerated MLOps 🚀
dimensionality-reduction-and-deep-learning
Dimensionality reduction experiments using deep learning techniques.
hector-and-dad
Algorithms and code 🙂
kfp-component-lib
A pattern for developing libraries of reusable Kubeflow Pipeline components.
lbg-hackathon-team-05
Predicting transportation usage in NYC using BigQuery and Vertex AI pipelines on GCP.