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notthattal/README.md

Hi, I'm Tal Erez

I am currently pursuing my master of engineering in artificial intelligence at Duke University and am passionate about AI research

Current Research:

  1. Developing imperceptible perturbations in music to protect artists and prevent ai mimicry
  2. Using sensor data collected from functional electrical stimulation (FES) braces to create a predictive model for early on-set multiple sclerosis

Education

  • Duke University | Master of Engineering in Artificial Intelligence
  • University of California, San Diego | Bachelor of Science in Applied Mathematics

GitHub Stats

My Portfolio: Portfolio

My LinkedIn: LinkedIn

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  1. LunarLanderProject LunarLanderProject Public

    Deep Q-Learning AI Training Project

    Python

  2. ExplainableTechniques ExplainableTechniques Public

    Generating Local Explanations using LIME

    Jupyter Notebook

  3. ContentBasedMovieRecAI ContentBasedMovieRecAI Public

    Content-Based Filtering Movie Recommendation AI System

    Python

  4. AdversarialAI_Patch AdversarialAI_Patch Public

    Create an Adversarial AI Patch

    Jupyter Notebook

  5. InterpretableML_I InterpretableML_I Public

    Predicting customer churn using regression

    Jupyter Notebook

  6. InterpretableML_II InterpretableML_II Public

    Implementing CART, FIGS and Rule-Fit interpretability algorithms

    Jupyter Notebook