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fabiangroeger96

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PhD student, DD/UniBas

Funding Links: https://github.com/sponsors/FabianGroeger96

GitHub Sponsors Profile

Hi there, my name is Fabian Gröger 👋 I'm a graduate-level student in Switzerland. My main study focus is machine learning and deep learning. I'm currently working on applied machine learning in a variety of domains.

deep-embedded-music unsupervised creation of an embedding space for music that can be used for various downstream tasks
cnn-number-detection number detection aimed for fast inference on edge devices

If you enjoy or use some of my projects, I'd appreciate it if you would give me something back.
Your sponsorship helps me continue to contribute.
I also use it for learning new technology associated with my projects.
Thank you for your support!

Featured Works

keras-team/keras-io

Keras documentation, hosted live at keras.io

Language: Jupyter Notebook - Stars: 2878
FabianGroeger96/cnn-number-detection

Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset

Language: Python - Stars: 60
FabianGroeger96/NFC-Background-reading

Tutorial: how to add apple’s background reading to your app

Language: Swift - Stars: 32
FabianGroeger96/deep-embedded-music

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Language: Jupyter Notebook - Stars: 18
FabianGroeger96/semantic-segmentation-dtd

Semantic Segmentation for the Describable Textures Dataset (DTD)

Language: Python - Stars: 4