mlops

This is the code repository associated with my development notes notebook.

I need it to improve development efficiency. I study concepts, prototype solutions, save them here along with their comments. When needed, I know where I can quickly find code examples to reuse.

Simulation of a real hospital scenario with a ML model in production

This repository showcases an end-to-end machine learning project implemented with a focus on MLOps.

MLflow deployment plugin for Knative targets

Fork of Rubrix for natural language processing machine learning dataset labeling and RLHF (reinforcement learning human feedback) and active learning. Original license was Apache 2.0 which allows Argilla.io to modify the software without sharing it with the community.

Bash scripts for building and running a Docker container locally with Apache Airflow Standalone.

Not suitable for production environment. Use it for local development and testing only!

Yet another one news recommender for MLOps & Production course by ods.ai