Jiwon Cha's repositories
python_lpqp_optimization_tutorial
This is a simple tutorial to help person who want to choose python library such as cvxopt, pulp and gurobi.
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
KMA_Parsing
using OpenAPI
nomad_instagram
instagram clon with express + prisma + react + react native
SolarStorage_CA
Init
pandas_playground
Pandas practices
power_demand_analysis_with_covid19
Show & Analysis the impact of COVID-19 on International power demand.
PyConKorea2019-Tutorials
Tutorials about Layer-wise Relevance Propagation (LRP) and SHapley Additive exPlanations (SHAP)
python-ds-handbook
《파이썬 데이터 사이언스 핸드북》 예제 코드
pytorch-densenet
Simple Code Implementation of "DenseNet" architecture using PyTorch.
Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
rn_instagram_clone
React Native Instagram UI Clone & Steemit App
Standalone-DeepLearning
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stock-trading
『파이썬과 리액트를 활용한 주식 자동 시스템』 예제 코드
StockMarketGAN
Stock Market Prediction Using Unsupervised Features
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.
tensorflow-projects
《실전활용! 텐서플로 딥러닝 프로젝트》 예제 코드