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kumar-selvakumaran/README.md

Hi 👋, I'm Kumar Selvakumaran

I'm Passionate about Computer Vision, Deep Learning and realizing their potentials at different scales.

  • 📖 I'm doing my Masters in Artificial Intelligence at Khoury College of Computer Science, Northeastern University

  • 🔭 I’m currently working on implementing explainable Neural Networks from scratch and compressing them for different environments.

  • 🌱 I’m currently learning C++ for Computer vision and AI

  • 📄 my profile (Resume)

Connect with me:

LinkedIn           Kaggle           Google Scholar

Technical skills

Languages and Tools:

python c cplusplus

Frameworks:

pytorch tensorflow opencv HuggingFace scikit_learn Numpy pandas Streamlit seaborn Matplotlib

Tools and SDKs:

docker git bash Anaconda Unity AR Foundation

OS and Cloud:

Windows linux gcp heroku

Pinned

  1. Annotated-YOLO Annotated-YOLO Public

    Inspired by the the legendary "The Annotated Transformer" This project aims to build an intuitive implementation of the YOLO model from scratch.

    Jupyter Notebook

  2. CBIR CBIR Public

    Extendable and real-time Content Based Image Retrieval

    C++

  3. real-time-video-filtering real-time-video-filtering Public

    This project introduces image processing fundamentals and applications along with their implementations in C++ using OpenCV.

    C++

  4. Transformers_for_imbalanced_classification Transformers_for_imbalanced_classification Public

    Benchmarking Different transformers and demonstrating the pros of focal loss on imbalanced classification data

    Jupyter Notebook

  5. explainable_hardhat_detection explainable_hardhat_detection Public

    This project implements a mechanism to use EigenCAM for object detection, in a plug-and-play, task-agnostic manner.

    Jupyter Notebook

  6. AR_enabled_textbooks AR_enabled_textbooks Public

    Android apps that host QR marker based AR experiences. Textbooks have QR Codes that host AR experiences to better understand conscepts.

    C#