Pinned Repositories
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Gated_UNet-Inpainting
An unofficial implementation for the paper: https://arxiv.org/abs/2305.12358. The Gated-Unet model is trained on slices from the AutoPET dataset.
GatedDiffusionnet-for-Shape-Matching
graph_cuts_loss
code for ICCVW paper 'Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation'.
Grundlagen-der-Kuenstliche-Intelligence
Codes for leture GDKI(IN2062)
Machie-Learning
codes for Machine Learning lecture at tum. (I have only done part of the project since the other tasks are overtaken by other group members)
ml3d
mlgs
pytorch-fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Tmonitor.github.io
My first repository containing the temperature monitoring app of ZEISS(not completed)
sean-xr's Repositories
sean-xr/GatedDiffusionnet-for-Shape-Matching
sean-xr/Gated_UNet-Inpainting
An unofficial implementation for the paper: https://arxiv.org/abs/2305.12358. The Gated-Unet model is trained on slices from the AutoPET dataset.
sean-xr/ml3d
sean-xr/databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
sean-xr/Machie-Learning
codes for Machine Learning lecture at tum. (I have only done part of the project since the other tasks are overtaken by other group members)
sean-xr/mlgs
sean-xr/Grundlagen-der-Kuenstliche-Intelligence
Codes for leture GDKI(IN2062)
sean-xr/Tmonitor.github.io
My first repository containing the temperature monitoring app of ZEISS(not completed)
sean-xr/graph_cuts_loss
code for ICCVW paper 'Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation'.
sean-xr/pytorch-fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains