SaewonY

SaewonY's Stars

• teddylee777/langchain-kr

  LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

  Language:Jupyter Notebook1.2k312

• UpstageAI/2022-lguplus-AI-Ground

  493

• zzsza/Boostcamp-AI-Tech-Product-Serving

  부스트캠프 AI Tech - Product Serving 자료

  Language:Python405344

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.6k1.9k

• data-science-on-aws/data-science-on-aws

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

  Language:Jupyter Notebook3.4k1.1k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.4k3.7k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.5k3.4k

• curieuxjy/Python

  📚 Everything I do with Python🐍

  Language:Jupyter Notebook56

• SaewonY/Sleep_AI_Challenge_SNU_2021

  Code for 1st place solution in Sleep AI Challenge SNU Hospital

  Language:Python135

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k643

• SaewonY/Algorithms

  Problem Solutions of Baekjoon, Programmers, Leetcode, etc...

  1

• selimsef/dfdc_deepfake_challenge

  A prize winning solution for DFDC challenge

  Language:Python787209

• Korea-Health-Datathon/KHD2020

  248

• SaewonY/Korea-Health-Datathon-2020

  Code for 2nd place solution in KHD2020 Challenge.

  Language:Python43

• thisishoon/trend-monitoring

  실시간 트렌드 데이터 분석/모니터링 시스템 tremo

  Language:Python234

• jihoo-kim/RecSys-for-Playlist-Continuation

  State-of-the-art Papers & Codes on Recommender System for Playlist Continuation (2018~2020)

  9818

• stefan-bergstein/Utilizing-the-Kaggle-Python-Docker-Container-image

  In this brief post I’d like to share my experience with the Kaggle Python Docker image, which simplifies the Data Scientist’s life ….

  102

• pudae/kaggle-understanding-clouds

  Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.

  Language:Python21353

• hunkim/ReinforcementZeroToAll

  Language:Python249132

• onedodam/dodam

  1

• borisbanushev/stockpredictionai

  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 Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.3k1.7k

• SaewonY/algorithm_study

  baekjoon, programmers, leetcode

  Language:Python2

• haven-jeon/PyKoSpacing

  Automatic Korean word spacing with Python

  Language:Python403118

• warnikchow/raws

  Real-time automatic word segmentation (for user-generated texts)

  Language:Python213

• zedr/clean-code-python

  :bathtub: Clean Code concepts adapted for Python

  Language:Python4.5k781

• IbarakikenYukishi/AI_RUSH-solution

  2nd place solution of AI RUSH. This repository contains codes and solution pdf.

  Language:Python32

• pudae/kaggle-hpa

  Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.

  Language:Python25089

• Naver-AI-Hackathon/AI-Speech

  315

• whtngus/naver_speech_nsml

  naver_speech_nsml

  Language:Python2

• SaewonY/Kaggle_Competitions

  Kaggle Solutions

  Language:Jupyter Notebook1