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Hi there ๐Ÿ˜ƒ๐Ÿ‘‹

I'm Amin, it's nice to meet you


My past research project highlights are:
  • explanations on xray images: https://github.com/amindadgar/xray-image-explanations
  • Adversarial Attacks: Adversarial attacks using image filters on DenseNet121 model (transfer learning was done). adversarial-attacks-on-image-filters
  • Evolutionary Computing: Optimizing different problems such as Vehicle Routing Problem (VRP), Neural Architecture Search (NAS) and Multi-Objective VRP using Evolutionary Strategies. implementation-of-exercises
  • Machine Learning: Analysing the dependency of fold accuracy and variances by re-implementing the article https://ieeexplore.ieee.org/abstract/document/8012491 as part of Machine-Learning Final Project course. codes: K-Fold-CV-Analysis
  • Fuzzy Systems: Implement different methods of fuzzy systems from scratch in the its course exercise: Fuzzy Systems
  • Neural Networks: Building an object detection Face Mask detection model, Using TensorFlow Object detection API.
  • Pattern Recognition: deploying Some types of Support Vector Machines model. (Medium Article Link: various types of SVMs, Codes are not public)
  • Bachelor's Project: Building a cloth classifier deep neural networks model using Keras API. (Codes are not publicly available)
  • Alexy Grigorev Zoomcamp midterm: Diabeties prediction System (Diabeties Prediction System)

Teck Stacks

The technologies that I'm familiar with:

  • Python (+ Test Driven Development)
  • PostgreSql, Neo4j, MongoDB databases
  • RabbitMQ
  • Apache Airflow
  • Docker
  • Flask
    • Did some minimal projects with it, but it's really easy for me to learn more.
  • Latex
  • Git

๐Ÿ“ซ Here are some links to reach me:

๐Ÿ’ป My GitHub Stats

Contribution Stats

A beautiful Qoute

After Everything, what is left is kindness, So don't hesitate to help others. ๐Ÿ™‚

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