Stable Non-optimized PyTorch Eigenvectors from Eigenvalues Implementation

This code repository implements this paper that allows us to calculate eigenvectors from eigenvalues elegantly through PyTorch that allows your code to run on your CPU, GPU, or TPU.

Easily run it on your browser through Google Colab or copy the function to run locally.

Non-optimized PyTorch Eigenvectors from Eigenvalues Implementation

This repository implements the paper "Eigenvectors from Eigenvalues" that "relates the norm squared of the elements of eigenvectors to the eigenvalues and the submatrix eigenvalues." Implementation is in PyTorch, enabling deployment on CPU and GPU for large-scale calculation of eigenvectors through this new succinct method.