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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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ipankhi/README.md

I can & I will.

Hello I am Pankhi Kashyap. Passionate about robotics, vision and learning.

Working to gift the world a peaceful future.

  • 🔭 Doing research to make data hungry deep learning perform well on low data scenes. To be precise working on few shot learning.
  • 🌱 Reading, coding and learning.
  • 👯 I’m looking to collaborate on FSL application in different data domains.
  • 👩‍💻 Programming language I practice : Python
  • 🤔 Interested in discussions on concepts of DL
  • 📫 How to reach me: email: pankhikashyap.research@gmail.com | linkedin - Pankhi Kashyap
  • 😄 Pronouns: she/her
  • ⚡ Fun fact: I worship work and live to eat delicious food. Believe in self-learning. Soltitude is bliss.
  • 🌈 BTech(ECE) from Gauhati University Institute of Science and Technology, Guwahati, Assam, India.

Popular repositories Loading

  1. SMART-CLASSROOM SMART-CLASSROOM Public

    This miniproject was done as final submission of Winter Training Program on Arduino Microcontroller. Here I have applied automation to save electricity and to provide a more systematic and comforta…

    C++ 2

  2. git-stuffs git-stuffs Public

    To the point kind of git tuitorial. Aimed to guide through git quickly. Basically extracted from https://guides.github.com/introduction/git-handbook/.

    2

  3. ALPA ALPA Public

    Python 2

  4. Digital-Billing-System-forRestaurants- Digital-Billing-System-forRestaurants- Public

    This is a project done during my Winter Training Program on Python organized by Tech Gyanam at Gauhati University.This is a digital billing system for Restaurants. This system has specialities like…

    Jupyter Notebook 1

  5. IITI IITI Public

    fingerprint QT

    Jupyter Notebook 1

  6. simple_prototypical_classifier simple_prototypical_classifier Public

    Prototypical classifier for dataset, which is in csv format. Here classifying FER2013 data. User need to chage the training parameters and the model use case wise. Dataloader is working fine.

    Jupyter Notebook 1