JeanKossaifi/tensorly-notebooks

Tensor methods in Python with TensorLy

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These tutorials demonstrate how to apply tensor methods to analyze complex, multi-dimensional datasets. You'll learn to process your high-dimensional data, perform techniques like CP and Tucker decomposition, and build tensor-based regression models. This is for machine learning practitioners and researchers who work with deep learning frameworks and need to extract insights or build predictive models from multi-way data.

445 stars. No commits in the last 6 months.

Use this if you are a data scientist or researcher working with deep learning frameworks and need to leverage tensor methods for advanced data analysis or model building.

Not ideal if you are looking for a no-code solution or are unfamiliar with Python and deep learning libraries.

multi-dimensional-data-analysis machine-learning-research deep-learning-models data-decomposition predictive-modeling

No License Stale 6m No Package No Dependents

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