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TransformerGAN
TransformerGAN PublicThis project aims to foster the usage of Transformers as generative models to sample artificial multivariate time series. Thereby, the latent space is shaped using a GAN-principle
Python 12
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DiffusionModel
DiffusionModel PublicIn this project a diffusion model is applied to learn a generative process to sample artificial images from noise
Python 1
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Uncertainty-estimation-for-timeseries-prediction
Uncertainty-estimation-for-timeseries-prediction PublicThe Generalized Gauss-Newton method is used to estimate uncertainty in timeseries prediction
Python
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Reservoir-computing-for-periodic-modeling
Reservoir-computing-for-periodic-modeling PublicThis is a work-in-progess project to model the periodic behavior of superimposed sine waves by the use of an Echo State Network
Python
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Aswendt-Lab/AIDAconnect
Aswendt-Lab/AIDAconnect PublicMouse brain network analysis of rs-fMRI and DTI data using graph theory
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