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  • University of Bergen
  • Bergen, Norway

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odinhg/README.md

Topology, Geometry & Machine Learning 🍩🤖

I explore topological data analysis 🍃, geometric deep learning 🔺, and machine learning projects 🚀.

I also work on many side projects, such as solving games 🎮 with machine learning and various tutorials.

Feel free to explore 👨‍💻 and reach out if you have questions! 💬

– Odin

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  1. Group-Equivariant-Convolutional-Neural-Network-INF367A Group-Equivariant-Convolutional-Neural-Network-INF367A Public

    Weather prediction on stereo images using a graph equivariant convolutional neural network.

    Python 1

  2. Graph-Neural-Networks-INF367A Graph-Neural-Networks-INF367A Public

    Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.

    Python 19 7

  3. Q-Learning-Tutorial Q-Learning-Tutorial Public

    This is an introductory tutorial to tabular Q-learning in Norwegian.

    TeX

  4. SimCLR-self-supervised-INF368A SimCLR-self-supervised-INF368A Public

    Implementation of SimCLR for self-supervised learning of embeddings of plankton image data.

    Python

  5. core core Public

    Implementation of core and alpha-core persistent homology.

    Jupyter Notebook 2

  6. inf264-python-crash-course inf264-python-crash-course Public

    A crash course on NumPy for students enrolled in the course INF264 – Introduction to Machine Learning.

    Jupyter Notebook 2 2