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100 Days of ML Coding
5 Ways to do 2D Histograms in R
a collection of trading strategies coded in quantstrat
Repository for package afedR ("Analyzing Financial and Economic Data with R")
machine learning/artificial intelligence notes
alphaModel library
Codes related to activities on AV including articles, hackathons and discussions.
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
FORTS Volatility smile history
Source code for 'Automated Trading with R' by Christopher Conlan
Source code and community enhancements for Automated Trading with R by Christopher Conlan, Springer/Apress Oct. 2016
GGCM charts for backtest
Book on backtesting strategies in R using blotter, quantstrat, FinancialInstruments, TTR packages
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Shiny app for Value at Risk (VaR) Backtesting
Bash Crash Course
R & Stan code associated with my "Bayes Days" workshop
A manuscript, intended for peer review, describing the use of the BayesFactor package
Inside every classical test there is a Bayesian model trying to get out.
Code for illustrating simple Bayesian linear regression
Bayesian hierarchical model for complex trait analysis
Shareables for the 2015 Bayesian Analysis Workshop
Slides for talk in Melbourne Oct 16, 2018
One-dimensional bin packing algorithm, solved with hill climbing, tabu search and GA.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.