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Felix Dangel (f-dangel)

f-dangel

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Company:@ProbabilisticNumerics @VectorInstitute

Location:Toronto

Home Page:https://fdangel.com

Twitter:@f_dangel

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Felix Dangel's repositories

backpack

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

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cockpit

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

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unfoldNd

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

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phd-thesis

Source code for my PhD thesis: Backpropagation Beyond the Gradient

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hbp

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

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singd

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

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vivit

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

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curvlinops

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

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einconv

Convolutions and more as einsum for PyTorch

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phd-thesis-template

LaTeX template for my PhD thesis at the University of Tuebingen

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sirfshampoo

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

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backobs

Use DeepOBS with BackPACK

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org-export-setup

My org-export settings

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python-utilities

Python utility functions I often use

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cockpit-experiments

Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"

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DeepOBS

DeepOBS: A Deep Learning Optimizer Benchmark Suite

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org-html-themes

How to export Org mode files into awesome HTML in 2 minutes

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vivit-experiments

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

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backpack-experiments

Experiments code for "BackPACK: Packing more into Backrop" [ICLR 2020]

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bibliography-file

My global `.bib` file to store bibliographic records

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PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

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PyTorchHessianFree

PyTorch implementation of the Hessian-free optimizer

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StructuredNGD-DL

Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning

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