mlflow-docker

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Setting up an MLflow Workspace with Docker

a docker image of the MLflow server component

MLflow Tracking Server with basic auth deployed in AWS App Runner.

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.

Mlflow Docker Image

Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.

Foundation of MLOps

This project creates a basic web service for solving image-based CAPTCHAs. Using the Flask framework, it allows users to upload CAPTCHA images and employs an Optical Character Recognition (OCR) pipeline to extract the embedded text.

mlflow container setup for docker, docker compose and kubernetes including helm chart

Kubeflow Pipeline along with MLflow Tracking on a time series forecasting example.

MLflow example to track Parameters and Metrics by using MLproject Functionality

Automated machine learning pipeline using MLflow, DVC, Docker, GitHub Actions, and AWS deployment for reproducible AI workflows.

End-to-end machine learning pipeline to predict seller churn for the Olist e-commerce

Host MLFlow Tracking Server and Model Registry as a containerized application on Kubernetes

MLflow setup using Docker and AWS S3

Run tidyverse, tidymodels, targets, carrier, and MLFlow within Docker

🌐 Language identification for Scandinavian languages

Some examples of running R in a Docker container with machine learning and MLOps features

Launch an MLFlow server through Docker