datakim

datakim's Stars

• PKUFlyingPig/Self-learning-Computer-Science

  the resources I use to learn computer science in my spare time

  3.6k343

• datakim/AI_FOR_FINANCE

  <금융 AI의 이해> 코드 제공을 위한 깃허브

  Language:Jupyter Notebook53

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook8.2k835

• justinxu421/recipe_rex

  Language:Jupyter Notebook86

• jupyter-naas/awesome-notebooks

  A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

  Language:Jupyter Notebook2.7k453

• ashtad63/HackerRank-Data-Scientist-Hiring-Test

  Predict life expectancy of a country or a geographical area based on socioeconomic factors.

  Language:Jupyter Notebook3121

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7.2k1.3k

• the-black-knight-01/Data-Science-Competitions

  Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

  800216

• Boburmirzo/genetic-Meyer-Packard-Algorithm

  Predicting a Stock Price Using a Genetic Algorithm

  Language:Python1512

• Auquan/Tutorials

  Ipython notebooks for math and finance tutorials

  Language:Jupyter Notebook981567

• sainathadapa/kaggle-freesound-audio-tagging

  8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)

  Language:Python11425

• kylejusticemagnuson/pyti

  Python library of various financial technical indicators

  Language:Python657164

• kartik-joshi/Stock-predection

  Stock Prediction using machine learning

  Language:Python5954

• bukosabino/ta

  Technical Analysis Library using Pandas and Numpy

  Language:Jupyter Notebook4.3k916

• mzyates/techindicators

  Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.

  Language:Jupyter Notebook4219

• jaislp3/nycdsa_capstone_proj_Lakshmi

  This is my Capstone project for NYCDSA, stock market predictions

  Language:Jupyter Notebook41

• Bravea/Armstrong

  3411

• philipperemy/fractional-differentiation-time-series

  As described in Advances of Machine Learning by Marcos Prado.

  Language:Python11947

• chinuy/stock-price-prediction

  A practice project for machine learning and stop price prediction

  Language:Python2013

• YongBeomKim/FinanceBasic2018

  파이썬을 활용한 금융분석 Tutorial

  Language:Jupyter Notebook2918

• mborysiak/Time-Series-Forecasting-with-ARIMA-and-LSTM

  Language:Jupyter Notebook7819

• krish240574/ETFMachineLearning

  Implementation of a paper in q/KDB+ and python - "Forecasting ETFs with Machine Learning Algorithms" - Jim Kyung-Soo Liew and Boris Mayster

  Language:Jupyter Notebook3612

• grananqvist/Awesome-Quant-Machine-Learning-Trading

  Quant/Algorithm trading resources with an emphasis on Machine Learning

  2.7k562

• nmharmon8/DSD

  Downloads Stock Data

  Language:Python54

• JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM

  Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

  Language:Python28698

• 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.

  4.2k1.7k

• nmharmon8/StockMarketGAN

  Stock Market Prediction Using Unsupervised Features

  Language:Python5326

• MiloMallo/Stock

  Stock Market Prediction Using Unsupervised Features

  Language:Python326214

• ayushjain1594/Stock-Forecasting

  Hidden Markov Model (HMM) based stock forecasting

  Language:Python9557

• christsaizyt/US-Stock-Market-Prediction-by-LSTM

  Language:Python11340