Open-source tools for every machine learning practitioner.

d2m streamlines the process of transforming raw data into fully trained machine learning models.

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Flexibility and configurability

Tailor the pipeline to your specific needs, and easily develop models for any type of tabular and time series data.


Green AI

Through integration with CodeCarbon, d2m actively tracks and reports on carbon emissions, promoting environmentally responsible AI development.

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Explainable AI

Incorporating tools like SHAP and LIME, d2m ensures that AI decisions are transparent and understandable.

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Uncertainty Estimation

Utilizing Bayesian dropout techniques, it provides reliable uncertainty estimates for neural network predictions.