M2D2

M2D2: Open Source No-Code/Low-Code Machine Learning Platform

Build machine learning models with ease using M2D2, a visual platform for training, evaluating, and deploying ML models without coding.

What is M2D2?

M2D2 is an open-source no-code/low-code machine learning platform that allows users to build, train, evaluate and deploy machine learning models visually without writing any code. It provides a drag-and-drop interface to construct ML pipelines, leveraging popular Python libraries like Pandas, Scikit-Learn, PyTorch, and TensorFlow under the hood.

Some key capabilities and benefits of M2D2 include:

• Intuitive visual interface to assemble ML pipelines
• Support for various ML algorithms including regression, classification, clustering, NLP, etc.
• Real-time visualization and metrics for model performance
• One-click deployment of models via REST APIs
• Version control and reproducibility of ML experiments
• Collaboration features for teams to work together
• Output clean, production-ready code for models
• Extensibility to incorporate new data sources, models, and deployments

M2D2 simplifies machine learning, allowing domain experts and citizen data scientists to leverage ML without coding expertise. Its no-code simplicity combined with transparency into model behavior makes it well-suited for responsible AI applications.

M2D2 Features

Official Links