andres-fr

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

FizzBuzzEnterpriseEdition

FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

mamba

Mamba SSM architecture

flet

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

AudioLDM

AudioLDM: Generate speech, sound effects, music and beyond, with text.

face_swap

End-to-end, automatic face swapping pipeline

face_segmentation

Deep face segmentation in extremely hard conditions

tueplots

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

mlcourse

Machine learning course materials.

sphinx-gallery

Sphinx extension for automatic generation of an example gallery

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition tools!

torch-scan

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

Early-Bird-Tickets

[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks

ContentDisentanglement

PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"

BNS-GCN

[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin

probnum-spring-school

Tutorial materials of the Probabilistic Numerics Spring School.

CPT

[ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin

CCC

Code for Continuously Changing Corruptions (CCC) benchmark + evaluation

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

vivit

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

curvlinops

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

probabilistic-ssm

Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Schmidt, Krämer, Hennig)

phd-thesis-template

LaTeX template for my PhD thesis at the University of Tuebingen

LearnedRadonFilters

DataLiteracy

cm-fomus

Common Music bindings for the Common Lisp version of the Fomus music notation processor. See cm and fomus repos here.

german-rap-analysis

Satellites

What's the probability of being hit by a satellite?