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alihuss1017/README.md

Hi! 👋


I'm Ali, a 4th Year Electrical Engineering Student with a specialization in Machine Learning and Controls at UC San Diego. I will be starting my M.S. in Machine Learning and Data Science at UC San Diego in March 2025. I enjoy building deep learning models and integrating them into desktop applciations.

Interests:

Deep Learning Robotics

Contact Information:

Linkedin Gmail

Top Skills:

PythonPyTorch Streamlit TF Arduino

Courses Taken:


  • COGS 118A: Supervised Machine Learning Algorithms
  • COGS 118B: Introduction to Machine Learning
  • COGS 181: Neural Networks and Deep Learning
  • ECE 111: Advanced Digital Design Project
  • ECE 143: Programming for Data Analysis
  • ECE 171AB: Linear Control System Theory
  • ECE 172A: Introduction to Intelligent Systems
  • ECE 174: Linear and Nonlinear Optimization
  • ECE 175A: Pattern Recognition and Machine Learning
  • ECE 175B: Probabilistic Reasoning and Graphical Models
  • ECE 176: Introduction to Deep Learning and Applications
  • ECE 225A: Probability and Statistics for Data Science
  • ECE 271A: Statistical Learning I

LeetCode Stats:

Leetcode Stats

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  1. VAE-for-X-Rays VAE-for-X-Rays Public

    ECE 175B Final Project: Variational autoencoder that reconstructs x-ray images.

    Jupyter Notebook

  2. DCGAN DCGAN Public

    ECE 176 Final Project: DCGAN model to generate images of natural scenes.

    Jupyter Notebook

  3. Cancer-Histopathology-CNN Cancer-Histopathology-CNN Public

    Forked from garrett-lam/CancerHistopathologyCNN

    COGS 181 Final Project: Evaluating classifier performance of CNNs, ResNet, and InceptionNet on lung/colon cancer images.

    Jupyter Notebook

  4. NYC-Drug-Crime-EDA NYC-Drug-Crime-EDA Public

    Forked from ECE143ProjectTeamNumber7/NYCDrugCrimeAnalysis

    ECE 143 Final Project: An exploratory data analysis on drug crime in New York City.

    HTML