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davidlevinwork/README.md

👨🏽‍💻 About me

  • 🎓 MSc Electrical Engineering graduate from Bar-Ilan University.
  • 📖 My Master's research focused on Graph-Based Feature Selection Models For Machine Learning Applications.
  • ⚡️ Passionate about the world of Artificial Intelligence, particularly Deep Learning and its industrial applications.

🔭 Technologies and Tools

               
               
               
               

💻 Current project

gbfs: gbfs is a comprehensive repository dedicated to advancing Graph-Based Feature Selection methodologies in machine learning.

The project houses two significant contributions to the field: GB-AFS and GB-BC-FS, each developed to address the intricate challenges of feature selection with graph-based solutions.


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  1. gbfs gbfs Public

    Python 7

  2. ArtGAN ArtGAN Public

    ArtGAN: Art Style Transfer with Self-Attention Generative Adversarial Networks

    1