Pinned Repositories
doku-study
【한글자막】 Docker & Kubernetes : 실전 가이드 강의를 듣고 함께 공부한 것을 공유합니다.
algorithms-study
baekjoon_algorithms
Solving algorithm problems for coding interviews. Most examples are uploaded in 'programmers.co.kr' or 'acmicpc.net/'
codetree-TILs
TILs for codetree(https://www.codetree.ai)
Django-Basic-Project
Django_project_restaurant_review
MCNCC
Python implementation of MATLA code of <Multi-Channel Normalized Cross-Correlation(2017)>. Incomplete. MATLAB 기반의 MCNCC 논문 공개 소스 코드를 파이썬으로 재구현.
NURBSDiff-Revision
A newly devised method to select and compress the number of control points based on the paper "NURBS-Diff: A Differentiable Programming Module for NURBS". Research performed during 2021-2022 Winter Undergraduate Research Program, in DGIST.
shoeprint_image_retrieval
Forensic shoeprint retrieval system with deep learning models. Tested with only FID-300 datset. FID-300 공개 데이터셋을 활용한 딥러닝 기반 족적 이미지 자동 검색 시스템 개발.
test_imagenet_based_models
Customized code templates for training PyTorch & Hugging Face DL models with ImageNet dataset. PyTorch, Hugging Face 기반 딥러닝 모델을 ImageNet 데이터셋으로 학습하기 위한 코드 템플릿.
seanshnkim's Repositories
seanshnkim/NURBSDiff-Revision
A newly devised method to select and compress the number of control points based on the paper "NURBS-Diff: A Differentiable Programming Module for NURBS". Research performed during 2021-2022 Winter Undergraduate Research Program, in DGIST.
seanshnkim/shoeprint_image_retrieval
Forensic shoeprint retrieval system with deep learning models. Tested with only FID-300 datset. FID-300 공개 데이터셋을 활용한 딥러닝 기반 족적 이미지 자동 검색 시스템 개발.
seanshnkim/MCNCC
Python implementation of MATLA code of <Multi-Channel Normalized Cross-Correlation(2017)>. Incomplete. MATLAB 기반의 MCNCC 논문 공개 소스 코드를 파이썬으로 재구현.
seanshnkim/algorithms-study
seanshnkim/baekjoon_algorithms
Solving algorithm problems for coding interviews. Most examples are uploaded in 'programmers.co.kr' or 'acmicpc.net/'
seanshnkim/codetree-TILs
TILs for codetree(https://www.codetree.ai)
seanshnkim/Django-Basic-Project
seanshnkim/Django_project_restaurant_review
seanshnkim/msn_shoeprint_retrieval
Mainly focused on shoeprint image retrieval. Experiments with self-supervised learning method: MSN(Masked Siamese Networks for Label-Efficient Learning)
seanshnkim/test_imagenet_based_models
Customized code templates for training PyTorch & Hugging Face DL models with ImageNet dataset. PyTorch, Hugging Face 기반 딥러닝 모델을 ImageNet 데이터셋으로 학습하기 위한 코드 템플릿.
seanshnkim/Django_project_ToDoList
Make basic Django projects
seanshnkim/leetcode-algorithms
My own solutions and visualized explanations for algorithm problems in leetcode.com.
seanshnkim/msn_train_from_scratch
Train masked siamese networks (https://arxiv.org/abs/2204.07141) from scratch.
seanshnkim/pytorch_lightning_tutorials
Practice with pytorch lightning tutorials!
seanshnkim/recom-sys-using-CLIP
OpenAI's CLIP model has proved excellent performance in image captioning task. Using its zero-shot learning ability, I implemented text-text based image(background photo) recommendation system.
seanshnkim/sehyun-seankim.github.io
Github blog
seanshnkim/Sketch-Based-3D-Asset-Classification