🌐 Language identification for Scandinavian languages
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Updated
Jan 5, 2021 - Python
🌐 Language identification for Scandinavian languages
Deploy MLFlow Tracking Server with Docker Compose
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.
MLflow setup using Docker and AWS S3
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.
Launch an MLFlow server through Docker
Run tidyverse, tidymodels, targets, carrier, and MLFlow within Docker
Some examples of running R in a Docker container with machine learning and MLOps features
Host MLFlow Tracking Server and Model Registry as a containerized application on Kubernetes
Mlflow Docker Image
MLflow Tracking Server with basic auth deployed in AWS App Runner.
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
MLFlow advanced topics (research project)
MLflow example to track Parameters and Metrics by using MLproject Functionality
Testing the integration of MLFlow and BentoML
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.
a docker image of the MLflow server component
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