"🌱 Industrial Engineer 🌱"
2020-2022
M.S. Student at Data Science & Business Analytics Lab., School of Industrial Management Engineering, Korea University.2014-2020
Bachelor of Engineering in Industrial Management Engineering, Korea University.
Name: Chung_es
Type: User
Company: Korea University
Bio: Data Science & Business Analytics
Location: Seoul, Korea
"🌱 Industrial Engineer 🌱"
2020-2022
M.S. Student at Data Science & Business Analytics Lab., School of Industrial Management Engineering, Korea University.2014-2020
Bachelor of Engineering in Industrial Management Engineering, Korea University.anomaly detection benchmark datasets
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
고급통계적머신러닝 @KoreaUniversity
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Anomaly detection related books, papers, videos, and toolboxes
SR-CNN
A curated list of awesome Deep Learning tutorials, projects and communities.
list of papers, code, and other resources
This curated list contains python packages for time series analysis
An awesome README template to jumpstart your projects!
Predictive Analytics Term Project @KoreaUniversity
Official Implementation of "CAT-Seg🐱: Cost Aggregation for Open-Vocabulary Semantic Segmentation"
A browser extension that enhance search engines with ChatGPT
daily used code snippets
Cheat Sheets
Data Science Tutorials
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)
『밑바닥부터 시작하는 딥러닝 ❷』(한빛미디어, 2019)
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
Deep Learning Examples
docker-template-baseline
Differentiable Point-based Inverse Rendering
Timeseries Data Anomaly Detection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.