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

MLflow deployment with 1 command

Deploy MLflow with HTTP basic authentication using Docker

Deploy mlflow with docker-compose

MLFLow Tracking Server based on Docker and AWS S3

This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.

No description available

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.

A ready-to-run Docker container setup to quickly provide MLflow as a service, with PostgreSQL, AWS S3, and NGINX

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

This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.

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.

Using MLflow with a Docker Environment

Docker for mlflow framework

4-5 days workshop from development to deploy (Deep Learning, tensorlfow, keras, mlflow, docker, ...)

MLFlow Server Image for ML pipeline.

MLflow and Prefect with docker-compose

Full Machine Learning lifecycle with MLFlow, DVC, Docker, Kubernetes and Airflow on the cloud (AWS)

A production-grade MLOps pipeline for predicting telecom customer churn, featuring automated data preprocessing, ML model training, experiment tracking with MLflow, distributed training using PySpark, real-time inference via Kafka streaming, Airflow DAG orchestration, and Dockerized REST API deployment.

Dockerized MLFlow Tracking server with minIO artifact storage server.

This repository builds a production-ready Docker image to productionalize an MLFlow cluster

An MLOps pipeline for unsupervised industrial defect detection using PaDiM, ONNX, FastAPI, Docker, Azure DevOps, and MLflow.

Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.

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

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.

The Docker image for the Prometheus Python exporter for MLflow is a self-contained package that collects and exposes custom metrics from MLflow servers.

Foundation of MLOps