Kubeflow Pipelines on Tekton

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.

This special repo will help any user, walk-through the assignments and quizzes -- related to a top-rated Coursera course on MACHINE LEARNING Fundamentals, sponsored by 'GOOGLE CLOUD'

Source code for my Scaleway webinar 'AI solutions and tips for SaaS '

This project is intended to provide an example of MLOps architecture.

Kubeflow Pipeline sample that uses custom docker image with private python code inside the image as base image for the pipeline components.

Medicine prescriber prototype for https://ai-hospital.services

This projects aims to demonstrate an MLOps level-2 systems using Kubeflow and Vertex AI. The model is a content-based recommendation system that recommends similar tracks based the artist, song tags, and playcount of the current track.

This repo contains the process of implementing a Kubeflow Pipeline (KFP) in GCP

Kubeflow slackbot using AWS lambda