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mak-raiaan/README.md

MAK Raiaan

Portfolio Research Areas


About Me

from dataclasses import dataclass

@dataclass
class MAKRaiaan:
    specialization: str = "Computer Vision"
    research: list[str] = ["Deep Learning", "Image Processing", "Visual Recognition"]
    skills: list[str] = ["ML Engineering", "Software Development", "Data Analysis"]
    welcome: list[str] = ["Research Collaboration", "Open Source Projects", "Technical Discussions"]
    motto: str = "Teaching computers to see and understand the world"

I am a computer vision researcher focused on developing and implementing advanced machine learning techniques for visual data analysis. My research explores deep learning applications in image processing, object detection, and visual recognition systems.

Google Scholar


Technical Skills

Programming Languages

Python Libraries

Frameworks

Database & Server

Version Control & Project Management


GitHub Stats


Connect With Me

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  1. ColdEmailPhDMSc ColdEmailPhDMSc Public

    📩 Guideline for writing cold emails to PhD/MSc supervisors 🌍🎓 | Do it right!

    97 11

  2. MLGuide MLGuide Public

    This repository is a comprehensive guide for beginners to advanced learners in the field of Machine Learning. Whether you're interested in Python, OpenCV, TensorFlow, or PyTorch, this resource will…

    12 3

  3. Image-Processing Image-Processing Public

    This collection of image processing code snippets and notebooks aims to help enhance and manipulate images effectively.

    Jupyter Notebook 3 2

  4. Mammo-Light Mammo-Light Public

    Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images

    Jupyter Notebook 2

  5. RetNet-10 RetNet-10 Public

    RetNet-10: A Lightweight Deep Learning Model for Diabetic Retinopathy Image Classification

    Python 2

  6. ASPPST-GI ASPPST-GI Public

    This repository contains the implementation of Atrous-Spatial-Pyramid-Pooling-with-Swin-Transformer of for classifying gastrointestinal tracts using endoscopic images.

    Python 1 1