PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
MIT License
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and ...
The easiest way to use deep metric learning in your application. Modular, flexible, and extensibl...
Pytorch framework for doing deep learning on point clouds.
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications...
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
Compute FID scores with PyTorch.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on...
Use scipy.optimize.minimize as a PyTorch Optimizer.
Constrained optimization toolkit for PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
A highly efficient implementation of Gaussian Processes in PyTorch