- Munich, Germany
- https://joseph-nagel.github.io/
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graph-nn Public
Machine learning on graphs
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diffusion-demo Public
PyTorch denoising diffusion demo
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contrastive-learning Public
Contrastive representation learning with PyTorch
deep-learning neural-networks metric-learning representation-learning triplet-loss contrastive-learningPython MIT License UpdatedJul 2, 2024 -
attention-mechanism Public
An introduction to attention mechanisms and the vision transformer
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time-series-forecasting Public
Time series forecasting examples
Jupyter Notebook MIT License UpdatedJul 2, 2024 -
ml-notebooks Public
Some random stuff
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pyspark-playground Public
Getting started with PySpark
Jupyter Notebook MIT License UpdatedMay 20, 2024 -
gaussian-processes Public
Gaussian process explorations
Jupyter Notebook MIT License UpdatedMay 17, 2024 -
physics-informed-nn Public
Physics-informed neural nets with PyTorch
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jax-quickstart Public
Getting to know the JAX framework
Jupyter Notebook MIT License UpdatedJan 2, 2024 -
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Awesome-Diffusion-Models Public
Forked from diff-usion/Awesome-Diffusion-ModelsA collection of resources and papers on Diffusion Models
HTML MIT License UpdatedDec 2, 2023 -
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