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kalash-kala/README.md
  • 👋 Hi, I’m @kalash-kala
  • 👀 I’m interested in Data Science and Machine Learning
  • 🌱 I’m currently exploring different types of Machine Learning paradigms / Techniques like :
    • Self Supervised Learning
    • Bayesian Deep Learning
    • Cyclic GAN
  • 💞️ I’m looking to collaborate on Data Science and Machine Learning projects
  • 📫 How to reach me kalashkala@gmail.com

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  1. WCE-Bleeding-Region-Detection-and-Classification WCE-Bleeding-Region-Detection-and-Classification Public

    A Deep Learning approach to Classify WCE frames into Bleeding and Non Bleeding Frames and also to detect Bleeding regions in Bleeding frames using Two Stage object detection algorithms

    Jupyter Notebook

  2. Face-Classification-using-Self-Supervised-Learning Face-Classification-using-Self-Supervised-Learning Public

    Using the Concept of Self Supervised Learning (SSL), I am exploring a method by which we can use SSL for Face Classification. The Method includes Clustering as Pretext task. We compare it with mode…

    Jupyter Notebook

  3. Graph-Network-Analysis Graph-Network-Analysis Public

    Using Graph Analytics and Named Entity Recognition , we aim to create a relation graph between the characters of Merchant of Venice, this can be extended to other Dramas as well

    Jupyter Notebook 1

  4. Cipher-Decryption-Using-Genetic-Algorithm-and-Markov-Model Cipher-Decryption-Using-Genetic-Algorithm-and-Markov-Model Public

    In this project We make use of Language Model. We train the language model on a training corpus and create a probability distribution of how the characters will appear. In order to decrypt the encr…

    Jupyter Notebook

  5. datakind/dk-routing datakind/dk-routing Public

    Container-based Action Routing Tool (CART)

    Python 10 12

  6. Application-of-NMF-on-Colour-Images Application-of-NMF-on-Colour-Images Public

    In this project I make use of both Iterative and Deep NMF to extract features from colour images and therby reducing its dimensions

    Jupyter Notebook