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rsk27/README.md

banner that says Hi Im Raghav

Welcome to my GitHub profile! I'm a passionate Mechanical Engineer with interests in Robotics, Space Applications, Machine learning, Artificial Intelligence and Deep learning. Here you can find some of my projects and contributions in these areas. Feel free to explore and connect.

🌱 I'm Currently Learning

  • Computer Vision Application in Robotics Domain
  • Reinforcement Learning
  • Advanced Deep Learning techniques

💬 Let's Connect

My Github Status

GitHub Streak

🛠️ Technologies and Tools

Tech Stack

Python TensorFlow Keras Scikit-Learn Streamlit C++ Git GitHub GitLab Postman MySQL Bootstrap Flask OpenCV HTML5 LaTeX Lua Shell Script ROS

🌍 Visitors

Check out my visitor map: Visitor Map

Popular repositories

  1. Interfacing-Hokuyo-Laser-in-ROS Interfacing-Hokuyo-Laser-in-ROS Public

    Forked from HUNTERVEDANSH/Interfacing-Hokuyo-Laser-in-ROS

    The repository showcase simple steps to interface UTM-30LX Laser

    C++

  2. Object-Detection-using-Laser-Rangefinder-UTM-30LX- Object-Detection-using-Laser-Rangefinder-UTM-30LX- Public

    Forked from HUNTERVEDANSH/Object-Detection-using-Laser-Rangefinder-UTM-30LX-

    This repository contains commands and file to detect object using LRF and its various other dimensions

    Python

  3. trailmet trailmet Public

    Forked from transmuteAI/trailmet

    Transmute AI Lab Model Efficiency Toolkit

    Jupyter Notebook

  4. mmclassification mmclassification Public

    Forked from open-mmlab/mmpretrain

    OpenMMLab Image Classification Toolbox and Benchmark

    Python

  5. pytorch-image-models pytorch-image-models Public

    Forked from huggingface/pytorch-image-models

    PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

    Python

  6. cords cords Public

    Forked from decile-team/cords

    Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

    Jupyter Notebook