kiminjo Goto Github PK
Name: injo kim
Type: User
Company: @RTM
Bio: Data scientist working on GNN and anomaly detection
Location: Seoul
Blog: https://cord-failing-30f.notion.site/Injo-Kim-6699e0592e6048eab63550841c87d752
Name: injo kim
Type: User
Company: @RTM
Bio: Data scientist working on GNN and anomaly detection
Location: Seoul
Blog: https://cord-failing-30f.notion.site/Injo-Kim-6699e0592e6048eab63550841c87d752
Seoul National University of Science and Technology. Department of Data Science Fall 2020, Advanced machine learning Class Practice Code
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
It aims to write new sentences by learning character units sentences using RNN. As training data, a collection of Shakespeare's novels was used.
Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.
Seoul National University of Science and Technology, Department of Data Science, Spring Semester 2020 Data Mining Class Practice Code
Dacon AI friends third competiton 'electricity usage forecast'
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
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
Implementation of f-AnoGAN with PyTorch
Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
GitHub crawler for Graduate research
github crawler
This repository functions to split the data into a form suitable for HIL.
My own LLM custom library collection.
π π³ A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.
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.
Local Feature Weight kNN combined Local kNN and Feature weighted kNN.
Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree
This project classifies MNIST data that is widely used in computer vision. A basic CNN model was used as the model.
This repository aims to measure the zero-shot segmentation performance of Segment Anything Models (SAM) on Industrial defect data
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Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
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, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
A Collection of Variational Autoencoders (VAE) in PyTorch.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.