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inkyusa/README.md

Hi there, this is Inkyu 👋


My interests are Field Robotics, Applied machine learning, Large-language models, and AI-generated content (AIGC e.g., stable-diffusion).

Citation History

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This graph is generated by my custom web API that uses serpapi to obtain my scholar information and parsed using a simple python script hosted on vercel. If you want to use this in your project, please have a look this repo

inkyusa

My Kaggle profile


Kaggle is one of my favourite places to learn and explore new machine learning (ML) technologies. I have found it to be a fun and entertaining playground where I can apply my skills and knowledge to real-world problems.

If you are also interested in ML or other state-of-the-art (SOTA) technologies, I highly recommend checking out Kaggle. There are a wide range of challenging problems that need to be solved, and Kaggle provides a great platform for learning and collaboration.

Kaggle profile

(128/205,650 as of 26/July/2024, Top 0.05%)

Here is my Kaggle profile page: My Kaggle profile

I hope you enjoy Kaggle as much as I do!

Github stats


 inkyusa

inkyusa

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  1. cartographer_kitti_config cartographer_kitti_config Public

    cartographer configuration files for KITTI dataset including .lua and .launch

    Lua 40 19

  2. weedNet weedNet Public

    weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming

    MATLAB 53 18

  3. raisimGymTutorial raisimGymTutorial Public

    Tutorial repository for raisimGym

    C++ 25 5

  4. gym_rotor gym_rotor Public

    collection of rotorcrafts OpenAI gym Mujoco environments

    Python 45 4

  5. ethz-asl/mav_dji_ros_interface ethz-asl/mav_dji_ros_interface Public

    Interface of DJI autopilot based on its OSDK (3.2)

    C++ 164 58

  6. ethz-asl/reinmav-gym ethz-asl/reinmav-gym Public

    Reinforcement Learning framework for MAVs using the OpenAI Gym environment

    Python 94 24