f-dangel/org-export-setup

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Created over 3 years ago
Updated 10 months ago

f-dangel/org-export-setup

f-dangel

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My org-export settings

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

cockpit

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

unfoldNd

(N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch

hbp

Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations

phd-thesis

Source code for my PhD thesis: Backpropagation Beyond the Gradient

singd

[ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)

curvlinops

scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch

vivit

[TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivatives & Newton steps

einconv

Convolutions and more as einsum for PyTorch

sirfshampoo

[ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)

phd-thesis-template

LaTeX template for my PhD thesis at the University of Tuebingen

backobs

Use DeepOBS with BackPACK

python-utilities

Python utility functions I often use

wandb_preempt

Code and tutorial on integrating wandb sweeps with Slurm pre-emption

vivit-experiments

Experiments for the TMLR 2023 paper "ViViT: Curvature Access Through the Generalized Gauss-Newton’s Low-rank Structure"