Taehun's repositories
AI_FOR_FINANCE
<금융 AI의 이해> 코드 제공을 위한 깃허브
PredictCreditCardDelinquency
🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆
Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
test
test
datamanyo.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
testbed.github.io
A Jekyll version of the Clean Blog theme by Start Bootstrap
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
qconbj2019
QCON 2019 Beijing workshop
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.