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santoshpanda1995/README.md

Hi 👋, I'm Santosh Kumar Panda  

💻 PhD Senior Research fellow 📊

 santoshpanda1995

santoshpanda1995

- 👋 Hello there, I am Santosh Kumar Panda - I was University Gold Medalist in my Master's. - I have done my MPhil degree in Image processing. - I am currently pursuing my Ph.D. from NIT Rourkela - I am a DST Inspire fellow, Funded by Govt of India - 👀 I’m interested in Computer vision, Image Processing and Machine learning - �� I’m currently learning Deep learning - 💞️ I’m looking to collaborate on the above topics

Checkout my Portfolio- santoshpanda1995.github.io/portfolio/

Connect with me:

Santosh Kumar Panda | Linkedin Santosh Kumar Panda | ORCID Santosh Kumar Panda | Google Scholar Santosh Kumar Panda | Instagram Santosh Kumar Panda | Facebook Santosh Kumar Panda | Researchgate Santosh Kumar Panda | Scopus Santosh Kumar Panda | Github Portfolio Santosh Kumar Panda | Gmail

Languages and Tools:

c cplusplus css3 html5 java javascript matlab mysql opencv pandas photoshop php postgresql python pytorch scikit_learn seaborn tensorflow unity



santoshpanda1995

 santoshpanda1995

santoshpanda1995

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  1. Circular-Hough-Transform-using-MATLAB Circular-Hough-Transform-using-MATLAB Public

    Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab

    MATLAB 19 2

  2. portfolio portfolio Public

    A simple Github Portfolio

    7

  3. santoshpanda1995 santoshpanda1995 Public

    Config files for my GitHub profile.

    13

  4. MATLAB-for-all MATLAB-for-all Public

    This comprehensive collection covers everything from the foundational basics to advanced techniques related to MATLAB. I will try to cover the basic introduction, looping, plotting, image processin…

    MATLAB 9 1

  5. Rust-for-all Rust-for-all Public

    This comprehensive collection covers everything from the foundational basics to advanced techniques related to Rust.

    Rust 8 1

  6. LightweightGCN-Model LightweightGCN-Model Public

    A very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)

    7