taehoonkoo

ACloudGuru-Resources

amazon-sagemaker-examples

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

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

aws-ai-ml-workshop-kr

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

car-damage-segmentation

차량 파손 영역 Segmentation 모델 (UNet 기반)

ChatGPT

It shows how to deploy ChatGPT using Lambda for chat client.

computing-Korean-STT-error-rates

STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수(패키지TBD)

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

deep-forecasting

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Doridori-Counter

Automatic Human Head Shake Counter using Facial Landmarks and peak detection

DS_academic_papers

Code from data science blog.

dtreeviz

A python library for decision tree visualization and model interpretation.

eksworkshop-custom

eksworkshop 보조자료입니다.

FSI-Gameday-General-Immersion-Day

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hg-mldl

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

kogpt

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

sagemaker-jumpstart-generative-ai-examples

Unlocking Creativity: Generative AI with SageMaker Jumpstart

sagemaker-workshop

Self-Study-On-SageMaker

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library

ThymeBoost

Forecasting with Gradient Boosted Time Series Decomposition

Time-series-deep-learning

Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.

Topic-Modelling

Application of Topic Modelling on Appstore reviews to get insights