eshyun's repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
AlphaAI
Use unsupervised and supervised learning to predict stocks
backtrader_plotting
Plotting addon for backtrader to support Bokeh (and maybe more)
Creon-Datareader
대신증권(Creon) PLUS API를 이용한 지속적인 주가 데이터 DB 구축 프로그램
cufflinks
Productivity Tools for Plotly + Pandas
dash-stock-tickers-demo-app
Dash Demo App - Stock Tickers
ecg-mit-bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
engkor_transliterator
transliterate from english to korean, using seq2seq with attention
eshyun.github.io.backup
Build a Jekyll blog in minutes, without touching the command line.
finance_ml
Advances in Financial Machine Learning
FinRL-Library
A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
http-prompt
HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
job-llm
Simplify and improve the job hunting experience by integrating LLMs to automate tasks such as resume and cover letter generation, as well as application submission, saving users time and effort.
langchain
⚡ Building applications with LLMs through composability ⚡
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
nbopen
Open a Jupyter notebook in the best available server
NeuralNetworkStocks
Using Python and keras to make stock predictions
pyRelFinder
Python implementation of RelFinder - http://www.visualdataweb.org/relfinder.php
surpriver
Find big moving stocks before they move using machine learning and anomaly detection
td
rl to finance
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
whisper.cpp
Port of OpenAI's Whisper model in C/C++