totallybullshit Goto Github PK

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mobilewidgets

Helper libraries for building cross-platform mobile widget applications.

mosaic

Project MOSAIC R package

mplusautomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

mqlproxy

A socket server to relay price quotes from Metatrader platform

msvar

A R package to fit markov switching vector autoregression

mt4-fst-library.dll

A bridge between Forex Strategy Trader and MetaTrader 4

mt4j

Java connector for Metatrader4

multicurrencytester

Multi currency tester for MetaTrader 4

multilevel-models-of-nlsy-97-religion-data

This project looks at religious attendance data of NLSY-97 in the Multilevel Modeling framework. Completed as a class project for MLM class in Fall 2012 Kris Preacher course at Vanderbilt.

music-with-js-and-gamepads

myutils

some experimental R functions

neural-network-project

Time series forecasting have been applied in many areas like environment, industry, economy and finance. People use several methods like Linear regression (LR), exponential smoothing (ES), autoregressive integrated moving average (ARIMA) to predict linear time series. Previous studies have shown that artificial neural network can model non-linear pattern of time series data. “The neural network structures and training procedures will have a great impact on forecasting performance” (Tang and Fishwick). However in real world, time series data consist of linear and non-linear patterns. Purwanto et al suggest combining Linear Method and Non Linear Method for more accurate time series forecasting. This project deals with examining the performance of neural network combining with linear method.

nhl-pbp

A hacky way to harvest and analyze NHL PBP data with R

node-finance

Module for portfolio optimization, prices and options

non_parametric_statistics

Graduate course I teach in robust and non parametric statistics

occupy-data-processing

Code for manipulating, cleaning, analyzing, and visualizing data for the Occupy movement

oh-my-zsh

A community-driven framework for managing your zsh configuration. Includes 120+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, macports, etc), over 120 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

parallelize-r

Examples of parallel processing in R

parser

R parser package

perceptron-learning-rule

Implementation of the perceptron learning rule

phpchat

A decentralized, peer-to-peer, encrypted chat in PHP.

pitchrx

Tools for Scraping XML Data and Visualizing Major League Baseball

plyr

A R package for splitting, applying and combining large problems into simpler problems

polymorphic

A polymorphic perl script.

postgremql4

Communicate with PostgreSQL DB from MQL4 script running inside MetaTrader 4 trading terminal.

predcomps

An R package for extracting understanding from predictive models

projecttemplate

A template utility for R projects that provides a skeletal project.

py4mql

The Py4MQL library aims at embedding a Python interpreter in a script, expert advisor or custom indicator written as a plugin for the Metatrader Trading platform. Py4MQL is built in C++ on top of the Boost.Python library and supports Python versions from 2.7 to 3.4 on the Windows operating sysgtem.

pycuda

CUDA integration for Python, plus shiny features