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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).

My Google Scholar Citations

Citation History

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

(124/199,921 as of 16/Feb/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

Inkyu's Projects

glove icon glove

GloVe model for distributed word representation

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

gsd_calc icon gsd_calc

A simple Ground Sample Distance calculator

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym_rotor icon gym_rotor

collection of rotorcrafts OpenAI gym Mujoco environments

handeye_calib_camodocal icon handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

handyrl icon handyrl

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

home icon home

DMR Identification Tool

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

icnet-tensorflow icon icnet-tensorflow

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

imagenet_utils icon imagenet_utils

:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.

img2bag icon img2bag

Create a bag file with inputs, images and the corresponding camera_info file (yaml).

img2vec icon img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

imgaug icon imgaug

Image augmentation for machine learning experiments.

imutils icon imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

jekyll-embed-video icon jekyll-embed-video

Embed videos in Jekyll webpages without a plugin (Youtube, Vimeo, Twitch, Facebook, Streamable, Google Drive clips + more)

juxtapose icon juxtapose

JuxtaposeJS is a JavaScript library for making before/after image sliders

kaggle-badge icon kaggle-badge

Add dynamically generated Kaggle Tier & Medals on your readme.

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