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1. Graph-Machine-Learning Graph-Machine-Learning 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 26 8

2. hhaji/funqg hhaji/funqg Public

   Python 12 3

3. 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.

   22 2

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

   Course: Applied Machine Learning

   Jupyter Notebook 64 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" (TKDE)

   977 67

6. neural_network_from_scratch_python neural_network_from_scratch_python Public

   I want to build a neural network from scratch with Python to better understand how neural networks work.

   Jupyter Notebook