Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
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Updated
May 15, 2024 - Python
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
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 Docker Image
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.
Deployment for Graduation Project (Paternity DNA Sequence Classification Using Machine Learning Algorithms and Dynamic programming)
🌐 Language identification for Scandinavian languages
Testing the integration of MLFlow and BentoML
This repository provides a foundational guide to MLOps, including tools and workflows for model versioning, data versioning, CI/CD pipelines, and experiment tracking. It features examples and use cases in Python, Jupyter Notebook, and Google Colab, along with integration with DagsHub for collaborative machine learning.
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