euisuk-chung

ad-benchmark

anomaly detection benchmark datasets

AD-Datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

code-snippet

daily used code snippets

DTAD

Timeseries Data Anomaly Detection

Generate_TSAD

Git repo for generating Timeseries Anomaly

Mixer_models

MLP Mixer related to Models (for archiving purpose)

TimeSeries_Forecasting

Repository for Timeseries Forecasting

TS_Augmenter

timeseries-generation project

youtube_summarizer

Unstructured Data Analytics Course @KOREAUNIVERSITY

euisuk-chung/code-snippet

daily used code snippets

euisuk-chung/TimeSeries_Forecasting

Repository for Timeseries Forecasting

euisuk-chung/ad-benchmark

anomaly detection benchmark datasets

euisuk-chung/AD-Datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

euisuk-chung/anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

euisuk-chung/euisuk-chung.github.io

euisuk-chung/Generate_TSAD

Git repo for generating Timeseries Anomaly

euisuk-chung/GrangerCausality

Granger Causality Test

euisuk-chung/langchain

🦜🔗 Build context-aware reasoning applications

euisuk-chung/python_ML

Course Material for Python Machine Learning

euisuk-chung/TimeSeries_AnomalyDetection

Repository for Timeseries Anomaly Detection

euisuk-chung/TimeSeriesDataAnalysis

Timeseries Data Analysis Lecture Materials

euisuk-chung/annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

euisuk-chung/Best-README-Template

An awesome README template to jumpstart your projects!

euisuk-chung/CAT-Seg

Official Implementation of "CAT-Seg🐱: Cost Aggregation for Open-Vocabulary Semantic Segmentation"

euisuk-chung/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

euisuk-chung/deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

euisuk-chung/Deep-Learning-Paper-Review-and-Practice

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

euisuk-chung/docker-template

docker-template-baseline

euisuk-chung/DPIR

Differentiable Point-based Inverse Rendering

euisuk-chung/FEAT

euisuk-chung/Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

euisuk-chung/llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

euisuk-chung/machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

euisuk-chung/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

euisuk-chung/ProMetaR

Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".

euisuk-chung/ssl_kccv

KCCV demo

euisuk-chung/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

euisuk-chung/Text-Summarization-Repo

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

euisuk-chung/timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.