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hardaatbaath/README.md

Hi there , I am Hardaat Singh Baath

I am a DL and Robotics Enthusiast

  • 🎓 I am a final year undergraduate student pursuing a BE in Computer Science at BITS Pilani, Goa.
  • 🧠 I am interested in the field of Computer Vision, Financial ML, NeuroChaos Learning and Robotics.
  • 🔍 I am looking for internship opportunities to collaborate in these fields.
  • 🦾 I am the Ex-Autonomous Subsystem lead of Project Kratos
  • 🤝 I am a driven and enthusiastic problem solver who likes to think outside the box. I believe in the value of teamwork.
  • ⚡ Fun fact I love writing poetry.
  • 📫 Feel free to contact me via my website, LinkedIn or good old email; I have shared the links to those and my resume below.

mail  LinkedIn  google scholar  github  resume  mail 

 

Languages and Tools:

  • Languages:

   c  cplusplus  python  java  matlab  javascript  matlab 

  • Libraries:

   numpy  matplotlib  pandas  seaborn  plotly  opencv   scikit_learn 

  • Frameworks:

   ros  pytorch  tensorflow  keras 

  • Tools:

    gazebo  coppelia  git  git  git  google sheets  arduino 

  • Platforms:

   linux 

 

Statistics:

Hardaat's GitHub stats Hardaat's GitHub Streak
Top Langs Github Stars

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  1. transformers-pytorch transformers-pytorch Public

    Implementation of "Attention is all you need."

    Python

  2. vision_transformer-pytorch vision_transformer-pytorch Public

    Implementation of "An Image is worth 16 x 16 words"

    Jupyter Notebook

  3. deep-learning-projects deep-learning-projects Public

    This has all of my smaller projects and code.

    Jupyter Notebook

  4. distributed_deployment_platform distributed_deployment_platform Public

    This is our project that aims to make a deployment platform that takes link of GitHub repositories and deploies it on AWS.

    TypeScript

  5. stable_diffusion-pytorch stable_diffusion-pytorch Public

    This is an implementation for Stable Diffusion model in PyTorch

    1

  6. deep-q_network-agent deep-q_network-agent Public

    An RL agent that learns to land the shutter on an OpenGym environment