This is your work, valued
machine learning engineer - (data)scientist - reformed quant - habitual coder - PhD
pyspark-example-project. Implementing best practices for PySpark ETL jobs and applications.
2.1kkubernetes-mlops. MLOps tutorial using Python, Docker and Kubernetes.
416pymc-example-project. Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
106py-package-template. Python package template project for kick-starting new Python projects.
82pipeliner. Machine learning pipelines for R.
67ml-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.
66elasticsearchr. Lightweight Elasticsearch client for R.
54pymc-stochastic-process. Bayesian Inference and parameter estimation in quant finance.
45py-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.
43llm-regression. Exploring the classical regression capabilities of LLMs.
18pymc-advi-hmc-demo. Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
15lime-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.
15notes-and-demos. Study notes and demos.
13transformers-gen-ai. Developing generative language models using transformers.
11bodywork-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.
9pycaret-mlops. Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes
8alexioannides. Python source code for generating my website at alexaioannides.github.io.
3alexioannides.github.io. My GitHub Pages website and blog about all things (data) science and probably a lot more.
3llmz. Tools for experimenting and working with LLMs.
2registerit. Have an idea for a Python package? Register the name on PyPI 💡
1azure-playpen. Example code and notes for using Microsoft Azure
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