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Chung-ang Univ
- Seoul, South Korea
- kaggle.com/yangsaewon
Stars
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
부스트캠프 AI Tech - Product Serving 자료
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Code for 1st place solution in Sleep AI Challenge SNU Hospital
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Problem Solutions of Baekjoon, Programmers, Leetcode, etc...
A prize winning solution for DFDC challenge
Code for 2nd place solution in KHD2020 Challenge.
State-of-the-art Papers & Codes on Recommender System for Playlist Continuation (2018~2020)
In this brief post I’d like to share my experience with the Kaggle Python Docker image, which simplifies the Data Scientist’s life ….
Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
Automatic Korean word spacing with Python
Real-time automatic word segmentation (for user-generated texts)
🛁 Clean Code concepts adapted for Python
2nd place solution of AI RUSH. This repository contains codes and solution pdf.
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.