kmario23/pytorch-padawan

Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

PyTorch Padawan

The grand goal of this repository is to offer an in-depth understanding of PyTorch for Scientific Computing. In particular, we will focus mainly on solving problems while also explaining the steps involved which will then offer good intuitions and confidence for working with tensors of arbitrary shapes.

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Topic	Description	nbviewer	colab	github
einsum	explanation and examples about processing tensors using einsum
tensor manipulation	explanation and examples about general manipulations on the tensors
vectorization	explanation and examples about how to write vectorized code in order to achieve memory & runtime efficiency
broadcasting	explanation and examples for writing code without duplicating data to achieve memory & runtime efficiency	in progress	in progress	in progress
multiple linear regression	explanation and implementation of multiple linear regression with regularization & hyperparameter tuning	in progress	in progress	in progress
linear algebra	barebones implementation of common linear algebra operations with intuitive explanations	planned	planned	planned
signal processing	implementation interspersed with explanations of fundamental principles for processing signals	planned	planned	planned

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Acknowledgement

Special thanks 🙏 to my dear friend Kata Naszádi for introducing me the name and letting me to use it here.