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1. graph_ml graph_ml Public

   Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation…

   Jupyter Notebook 17 7

2. covid-19-project covid-19-project Public

   The main focus of this project is to visualize the spreading of the Coronavirus and to perform machine learning, time series, and deep learning algorithms on the COVID-19 data to anticipate the fut…

   Jupyter Notebook 3 4

3. hhaji/funqg hhaji/funqg Public

   Python 11 3

4. hhaji/Applied-Machine-Learning hhaji/Applied-Machine-Learning Public

   Course: Applied Machine Learning

   Jupyter Notebook 61 56

5. PeterGriffinJin/Awesome-Language-Model-on-Graphs PeterGriffinJin/Awesome-Language-Model-on-Graphs Public

   A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"

   797 54

6. exercises-understanding-machine-learning exercises-understanding-machine-learning Public

   In this repository, you can find my solutions to some exercises of the book "Understanding Machine Learning From Theory to Algorithms" by Shai Shalev-Shwartz and Shai Ben-David.

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