Name: Felix Dangel
Type: User
Company: @ProbabilisticNumerics @VectorInstitute
Bio: Postdoc at the Vector Institute, Toronto. Interested in computing and using anything beyond the gradient for ML.
Twitter: f_dangel
Location: Toronto
Blog: https://fdangel.com
backobs
Use DeepOBS with BackPACK
backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
backpack-experiments
Experiments code for "BackPACK: Packing more into Backrop" [ICLR 2020]
bibliography-file
My global `.bib` file to store bibliographic records
cockpit
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
cockpit-experiments
Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
curvlinops
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
deepobs
DeepOBS: A Deep Learning Optimizer Benchmark Suite
einconv
Convolutions and more as einsum for PyTorch
hbp
Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
org-export-setup
My org-export settings
org-html-themes
How to export Org mode files into awesome HTML in 2 minutes
phd-thesis
Source code for my PhD thesis: Backpropagation Beyond the Gradient
phd-thesis-template
LaTeX template for my PhD thesis at the University of Tuebingen
pyhessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
python-utilities
Python utility functions I often use
pytorchhessianfree
PyTorch implementation of the Hessian-free optimizer
singd
[ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)
sirfshampoo
[ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)
structuredngd-dl
Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
unfoldnd
(N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch
vivit
[TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivatives & Newton steps
vivit-experiments
Experiments for the TMLR 2023 paper "ViViT: Curvature Access Through the Generalized Gauss-Newton’s Low-rank Structure"
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
