MikeLasz

Copula-Based-Normalizing-Flows

Generalizing the Base Distribution of a Normalizing Flow using a Copula-Approach.

Benchmarking-Fairness-ImageUpsampling

[ACM FAccT 2024] Benchmarking the Fairness of Image Upsampling Methods

robustness_rdf2vec

A seminar work at Ruhr-University Bochum (Seminar on Knowledge Graphs, Jun. Prof. Dr.-Ing. Maribel Acosta Deibe, 2020)

flipad

[ICML 2024] Single-Model Attribution of Generative Models Through Final-Layer Inversion

yo_flunk

Android Application that helps organizing Flunkyball leagues and tournaments https://mikelasz.github.io/yo_flunk/

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

BiasAndGeneralization

deepgaldx

A little Science-Slam Project about Style-Transfer using Cycle-GANs.

Fair-pSp

Inofficial implementation of the debiasing framework of image-to-image models proposed in Debiasing Image-to-Image Translation Models, Tanjim et al..

Gaussianization_Flows

invertible-resnet

Official Code for Invertible Residual Networks

marginalTailAdaptiveFlow

Marginal Tail-Adaptive Normalizing Flows [ICML 2022] https://arxiv.org/abs/2206.10311

thav.glasso

Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery

mikelasz.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

nflows

Normalizing flows in PyTorch

Normalizing-Flows

A repository to learn about Flows, mostly from papers

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

paper-template

Template for a new paper repository with code, data, and a LaTeX manuscript. Use the Github "Import repository" to create a new paper.

Progressive_Growing_of_GANs-PyTorch

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)