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๐Ÿค–
Helping computers perceive the world!
๐Ÿค–
Helping computers perceive the world!

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adityamwagh/README.md

๐Ÿ‘‹ Hello, I'm Aditya

I'm a NYC based Roboticist working on applying machine learning to problems in Computer Vision & Robotics.

I hold MS and BE degrees in Electrical Engineering from New York University and BITS Pilani, with a specialization in Robotics, Machine Learning and Computer Vision.

I'm a competent Python and C programmer with an in-depth understanding of deep learning, 2D & 3D computer vision, perception, localization and mapping (SLAM).

Previously worked on building learning based SLAM systems, transformer based point cloud registration & learning-based feature matching and semantic segmentation.

  • Interests
    • Traditional & Machine Learning based approaches to 3D Computer Vision
    • Semantic Mapping and High Definition Maps for Autonomous Systems
    • Foundation Models for Robotics
    • Robot Manipulation using Imitation Learning
    • Language Grounding in Robotics

Always open to interesting conversations and collaboration opportunities. Feel free to reach out if you'd like to chat about robotics, AI, or any exciting projects!

๐Ÿ› ๏ธ Tech Stack

This is a non-exhaustive list of the technologies I have used in the past and I am profesionally competent in.

Languages Frameworks & Libraries Currently Learning
Python C  C MATLAB Bash CUDA HTML CSS JavsScript PyTorch OpenCV Open3D Keras TensorFlow Hugging Face Scikit-learn NumPy SciPy Pandas CMake ONNX TensorRT Docker Linux Rust JAX

๐Ÿ“Š GitHub Stats

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  1. SuperSLAM SuperSLAM Public

    SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)

    C 96 13

  2. f-person/auto-dark-mode.nvim f-person/auto-dark-mode.nvim Public

    A Neovim plugin for macOS, Linux & Windows that automatically changes the editor appearance based on system settings.

    Lua 334 27

  3. pose-estimation-loftr pose-estimation-loftr Public

    Pose estimation pipeline for 3D Reconstruction using LoFTR (Local Feature Transformer) detector free feature matcher.

    Jupyter Notebook 19 2

  4. power-cable-instance-segmentation power-cable-instance-segmentation Public

    Mask RCNN model for instance segmentation of power cables for infrastructure inspection purposes.

    Jupyter Notebook 3 2

  5. cnn-damage-assessment cnn-damage-assessment Public

    Multi-Head Convolutional Networks for Post Earthquake Damage Assessment of Damaged Buildings

    Jupyter Notebook 1

  6. kuka-manipulator-control kuka-manipulator-control Public

    Implementation of KUKA manipulator kinematics and control in plain NumPy and SciPy.

    Jupyter Notebook