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injo kim's Projects

anomalib icon anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

character-level-language-model icon character-level-language-model

It aims to write new sentences by learning character units sentences using RNN. As training data, a collection of Shakespeare's novels was used.

clip-sam icon clip-sam

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

data-mining-lecture icon data-mining-lecture

Seoul National University of Science and Technology, Department of Data Science, Spring Semester 2020 Data Mining Class Practice Code

evidential-deep-learning icon evidential-deep-learning

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

extract-company-preference-factors icon extract-company-preference-factors

Based on company review data, company preference factors are derived. This project was conducted as a part of the "Unstructured Data Analysis" class at the Department of Data Science, Seoul National University of Science and Technology

f-anogan icon f-anogan

Implementation of f-AnoGAN with PyTorch

f-anogan-pytorch icon f-anogan-pytorch

Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.

kiminjo.github.io icon kiminjo.github.io

πŸ’Ž 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

lama-cleaner icon lama-cleaner

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

lfwknn icon lfwknn

Local Feature Weight kNN combined Local kNN and Feature weighted kNN.

mlnd-capstone icon mlnd-capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

mnist-classification icon mnist-classification

This project classifies MNIST data that is widely used in computer vision. A basic CNN model was used as the model.

mvtec-sam-validation icon mvtec-sam-validation

This repository aims to measure the zero-shot segmentation performance of Segment Anything Models (SAM) on Industrial defect data

ntis_crawler icon ntis_crawler

κ΅­κ°€κ³Όν•™κΈ°μˆ μ •λ³΄μ„œλΉ„μŠ€(NTIS)의 사업 μ •λ³΄μš© 크둀러

patchcore-with-classifier icon patchcore-with-classifier

This repository compares the performance of features for anomaly detection. The baseline feature is hight-dim feature created using Patchcore. The subject feature is patchcore features with concatenated hand-crafted features.

pytorch-image-models icon 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

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

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