gmgeorg/torchlambertw
Lambert W function and Lambert W x F distributions in pytorch
This project provides the core mathematical functions and building blocks for advanced statistical modeling in PyTorch. It implements the Lambert W function and allows you to create custom Lambert W x F distributions, which can model skewed or heavy-tailed data. Researchers and statisticians working with complex data distributions will find this useful for developing novel statistical models.
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Use this if you are a researcher or advanced statistician in an academic or R&D setting who needs to implement and experiment with Lambert W functions and Lambert W x F distributions directly within PyTorch for custom modeling.
Not ideal if you need a complete solution to transform and 'Gaussianize' skewed, heavy-tailed data; for that, look at the `pylambertw` project instead.
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Jupyter Notebook
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MIT
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Last pushed
Aug 11, 2025
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