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Name: Mike Laszkiewicz
Type: User
Company: @ruhr-uni-bochum
Bio: Working on statistically sound Deep Generative Models. PhD Student at Ruhr University Bochum.
Location: Bochum, Germany
Name: Mike Laszkiewicz
Type: User
Company: @ruhr-uni-bochum
Bio: Working on statistically sound Deep Generative Models. PhD Student at Ruhr University Bochum.
Location: Bochum, Germany
Paper Lists for Graph Neural Networks
[ACM FAccT 2024] Benchmarking the Fairness of Image Upsampling Methods
Generalizing the Base Distribution of a Normalizing Flow using a Copula-Approach.
A little Science-Slam Project about Style-Transfer using Cycle-GANs.
Inofficial implementation of the debiasing framework of image-to-image models proposed in Debiasing Image-to-Image Translation Models, Tanjim et al..
[ICML 2024] Single-Model Attribution of Generative Models Through Final-Layer Inversion
Official Code for Invertible Residual Networks
Marginal Tail-Adaptive Normalizing Flows [ICML 2022] https://arxiv.org/abs/2206.10311
A beautiful, simple, clean, and responsive Jekyll theme for academics
Normalizing flows in PyTorch
A repository to learn about Flows, mostly from papers
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Template for a new paper repository with code, data, and a LaTeX manuscript. Use the Github "Import repository" to create a new paper.
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
A seminar work at Ruhr-University Bochum (Seminar on Knowledge Graphs, Jun. Prof. Dr.-Ing. Maribel Acosta Deibe, 2020)
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
Android Application that helps organizing Flunkyball leagues and tournaments https://mikelasz.github.io/yo_flunk/
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An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.