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anylogic-models

anylogic_finalprojects

architecting-spacecraft

This is a GIT repository for the open source spacecraft SysML model presented in the book Architecting Spacecraft with SysML by Sanford Friedenthal and Christopher Oster.

automated-trading-with-r

Source code for 'Automated Trading with R' by Christopher Conlan

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

backtesting

backtrader

Python Backtesting library for trading strategies

calculix

CalculiX is an OSS package designed to solve field problems. The method used is the finite element method. This package is a native Microsoft Windows 64-bit build of CalculiX.

canslimtechnical

Stock pattern recognition of cup and handle patterns

cluster_build

HPC cluster build work

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

dashboard

Dashbord frontend

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

devistatorbacktesting

general purpose backtesting platform, prevents look-ahead bias

diagramnet

Diagram.NET is a free open-source diagramming tools written entirely in C#.

dl4j-anylogic

docker-openemr

Open Source electronic health records and medical practice management application(OpenEMR) container

docker-openmrs

docker-compose file for setting up the OpenMRS EMR reference application.

ehlers

election-history

US Presidential Elections since 1789

faclon_app

Faclon sensor monitoring app

faclon_website

Faclon.com - source

flipsider

Scripts for working with data from Google Finance

forest

AnyLogic Model (including code) for FOReST, a computer simulation of religion and secularism in the Modern period.

gobacktest

event-driven backtesting framework written in golang

ibcontroller-aur

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

lh-ehr

LibreHealth EHR - Free Open Source Electronic Health Records

micmon

Microphone monitor to help with hot mic issues when using Bluejeans

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville