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.

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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.