kitcharoenp Goto Github PK

apiai-weather-webhook-sample

face_recognition

The world's simplest facial recognition api for Python and the command line

financial-market-data-analysis

Real-Time Financial Market Data Processing and Prediction application

kitcharoenp.github.io

This is My GitHub Pages

lxd_ansible_postgresql

Create LXD Containers with Ansible to manage PostgreSQL

markov-switching-multifractal

Python implementation of the Markov-Switching Multifractal model (MSM) of Calvet & Fisher (2004, 2008).

medium_notebook

Repository containing notebooks of my posts on Medium

my_invest

notebooks

Google Cloud Datalab samples and documentation

octave

my octave exercises for 2011 stanford machine learning class, posted after the due date of course

odoo13_cust_mod

odoo14_cust_mod

percona_migrate_master_slave_to_cluster

python-for-finance-cookbook

Repository of Python for Finance Cookbook, published by Packt

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockinference-spark

Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.

stockprediction

Stock Prediction demo using Spring XD, Apache Geode and R. Presented at ApacheCon, IMCSummit and other conferences.

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.

tradingideas

Trading Strategies How to

tsmoothie

A python library for time-series smoothing and outlier detection in a vectorized way.

tspiral

A python package for time series forecasting with scikit-learn estimators.

x_odoo_10_addons

module and extension for odoo 10

xtradb-cluster-tutorial

PXC Tutorial