https://github.com/dmatrix/mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

Last synced: 05 Jun 2026

https://github.com/dmatrix/examples

These are some code examples

Last synced: 05 Jun 2026

https://github.com/dmatrix/mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

Last synced: 05 Jun 2026

https://github.com/dmatrix/mlflow-workshop-part-3

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

Last synced: 05 Jun 2026

https://github.com/dmatrix/genai-cookbook

A mixture of Gen AI cookbook recipes for Gen AI applications.

anthropic-ai anyscale-endpoint assistants-api chatbot chatbots function-calling llm-apps llms openai prompt-engineering rag

Last synced: 05 Jun 2026

https://github.com/dmatrix/feast_workshops

A series of workshop modules introducing Feast feature store.

Last synced: 05 Jun 2026

https://github.com/dmatrix/olt-mlflow

O'Reilly Online Training Materials for MLflow

Last synced: 05 Jun 2026

https://github.com/dmatrix/omnigent_examples

Example of Omniagents

Last synced: 15 Jun 2026

https://github.com/dmatrix/mlflow-example

An MLflow Executable Example

Last synced: 05 Jun 2026

https://github.com/dmatrix/spark-declarative-pipelines

A collection of modern Spark Declarative Pipeline examples and implementations demonstrating different data processing paradigms and frameworks.

pyspark spark spark-declarative-pipelines

Last synced: 15 May 2026