Run tidyverse, tidymodels, targets, carrier, and MLFlow within Docker
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Updated
Nov 19, 2022 - Shell
Run tidyverse, tidymodels, targets, carrier, and MLFlow within Docker
Launch an MLFlow server through Docker
Host MLFlow Tracking Server and Model Registry as a containerized application on Kubernetes
🌐 Language identification for Scandinavian languages
Some examples of running R in a Docker container with machine learning and MLOps features
Deploy MLFlow Tracking Server with Docker Compose
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.
An end-to-end project dedicated to classifying kidney disease CT images into 'tumor' or 'normal' categories using deep learning and CNN models.
MLFlow advanced topics (research project)
🚚 Screwdriver CD template for deploying immutable ML models as REST API to AWS through HashiCorp
The Ultra-Practical Guide to Setting Up MLflow, Postgres, and pgAdmin with Docker on GCP
Testing the integration of MLFlow and BentoML
Vous trouverez dans ce dépôt, tous les éléments nécessaires pour démarrer un serveur MLflow dans un codespace (Dev Container).
MLflow example to track Parameters and Metrics by using MLproject Functionality
MLflow setup using Docker and AWS S3
mlflow container setup for docker, docker compose and kubernetes including helm chart
Kubeflow Pipeline along with MLflow Tracking on a time series forecasting example.
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 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.
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