Pinned Repositories
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
notebooks
Google Cloud Datalab samples and documentation
x_odoo_10_addons
module and extension for odoo 10
kitcharoenp's Repositories
kitcharoenp/notebooks
Google Cloud Datalab samples and documentation
kitcharoenp/x_odoo_10_addons
module and extension for odoo 10
kitcharoenp/apiai-weather-webhook-sample
kitcharoenp/face_recognition
The world's simplest facial recognition api for Python and the command line
kitcharoenp/financial-market-data-analysis
Real-Time Financial Market Data Processing and Prediction application
kitcharoenp/kitcharoenp.github.io
This is My GitHub Pages
kitcharoenp/lxd_ansible_postgreSQL
Create LXD Containers with Ansible to manage PostgreSQL
kitcharoenp/markov-switching-multifractal
Python implementation of the Markov-Switching Multifractal model (MSM) of Calvet & Fisher (2004, 2008).
kitcharoenp/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
kitcharoenp/my_invest
kitcharoenp/Octave
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
kitcharoenp/odoo13_cust_mod
kitcharoenp/odoo14_cust_mod
kitcharoenp/Percona_Migrate_Master_Slave_to_Cluster
kitcharoenp/Python-for-Finance-Cookbook
Repository of Python for Finance Cookbook, published by Packt
kitcharoenp/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
kitcharoenp/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
kitcharoenp/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
kitcharoenp/StockInference-Spark
Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
kitcharoenp/StockPrediction
Stock Prediction demo using Spring XD, Apache Geode and R. Presented at ApacheCon, IMCSummit and other conferences.
kitcharoenp/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.
kitcharoenp/TradingIdeas
Trading Strategies How to
kitcharoenp/tsmoothie
A python library for time-series smoothing and outlier detection in a vectorized way.
kitcharoenp/tspiral
A python package for time series forecasting with scikit-learn estimators.
kitcharoenp/xtradb-cluster-tutorial
PXC Tutorial