mlflow服务器快速启动

End-to-end learning project for building, containerizing, and deploying MLflow models with Docker. Includes model training, auto-generated Dockerfile, REST API serving, and optional Streamlit UI — perfect for beginners learning MLOps fundamentals.

MLflow setup with Kubernetes ⎈

This project is part of MLOps-Salary-project and serve Mlflow UI to fully monitor model progress

Build mlflow docker image.

Deploy Mlflow with remote tracking server, backend and artifact stores on local machine

Docker, Kubernetes, Minikube, MLFlow, KuberFlow, Model serving, CI/CD, Monitoring ,...

FastAPI + Ollama LLM demo: containerized AI inference with Kubernetes, ready for governance tools.

Custom Docker Image für Mlflow. This Image is also used in the mlops-airflow-on-eks project.

Cookbook for Dockerized MLOps

MLFlow environment deployed with docker-compose, PostgreSQL as backend store and MinIO as S3 proxied artifact storage.

Simple Python based MLflow docker compose

This is the example to deploy mlflow tacking server. This repo can deploy mlflow-tracking server to docker-compose environment or k8s environment.

MLflow tracking server with S3 compatible storage

Docker Image packaging for MLflow

A Cookiecutter template for deep learning research projects

self-hosted MLflow based on postgres with minio

Simple MLflow container with extended package management and functionality (based on the orfficial MLflow container).