made with ml

We have hosted the application made with ml in order to run this application in our online workstations with Wine or directly.

Quick description about made with ml:

Made-With-ML is an open-source educational repository and course designed to teach developers how to build production-grade machine learning systems using modern MLOps practices. The project focuses on bridging the gap between experimental machine learning notebooks and real-world software systems that can be deployed, monitored, and maintained at scale. It provides structured lessons and practical code examples that demonstrate how to design machine learning workflows, manage datasets, train models, evaluate performance, and deploy inference services. The repository organizes these concepts into modular Python scripts that follow software engineering best practices such as testing, configuration management, logging, and version control. Through a combination of tutorials, notebooks, and production-ready scripts, the project demonstrates how machine learning applications should be developed as maintainable systems rather than isolated experiments.

Features:

• End-to-end examples for designing and deploying production ML systems
• Structured Python scripts implementing ML pipelines and workflows
• Tutorial notebooks demonstrating real machine learning development processes
• Coverage of MLOps topics such as tracking, testing, and deployment
• Practical examples for training, evaluation, and model serving
• Guidance on integrating software engineering practices into ML projects

Programming Language: Python.
Categories: