There are 0 repository under mlflow-docker topic.
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
MLflow Tracking Server with basic auth deployed in AWS App Runner.
a docker image of the MLflow server component
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.
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.
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.
Kubeflow Pipeline along with MLflow Tracking on a time series forecasting example.
MLflow example to track Parameters and Metrics by using MLproject Functionality
MLflow setup using Docker and AWS S3
Some examples of running R in a Docker container with machine learning and MLOps features
Testing the integration of MLFlow and BentoML
Launch an MLFlow server through Docker
Run tidyverse, tidymodels, targets, carrier, and MLFlow within Docker
:globe_with_meridians: Language identification for Scandinavian languages
MLflow using MinIO and Postgres
An end-to-end project dedicated to classifying kidney disease CT images into 'tumor' or 'normal' categories using deep learning and CNN models.
The Ultra-Practical Guide to Setting Up MLflow, Postgres, and pgAdmin with Docker on GCP
Vous trouverez dans ce dépôt, tous les éléments nécessaires pour démarrer un serveur MLflow dans un codespace (Dev Container).
Host MLFlow Tracking Server and Model Registry as a containerized application on Kubernetes
Deploy MLFlow Tracking Server with Docker Compose
MLFlow advanced topics (research project)
🚚 Screwdriver CD template for deploying immutable ML models as REST API to AWS through HashiCorp