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djinn

Urban simulation and market dynamics toolkit with connectors to popular machine learning tools

dltk

Deep Learning Toolkit for Medical Image Analysis

dmc4clonepractice

Practice Project to make a DMC4 Prototype in Unreal Engine 4.12.5

dml_ue4_course

Repo for DML students learning Unreal Engine 4 in 2015-2016 academic year

dnschain

A blockchain-based DNS + HTTP server that fixes HTTPS security, and more!

docker-bitsync

docker-unrealengine4

dockerized launcher for UE4

dog-breeds-classification

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

dronesimlab

SITL ArduCopter with Unreal Engine 4

dungeonmaker

A system for generating Zelda-like dungeons in UE4, using generative grammars.

dwave-cloud-client

A minimal implementation of the REST interface used to communicate with D-Wave Solver API (SAPI) servers.

dwave-ocean-sdk

Installer for D-Wave's Ocean tools

eastl

EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.

eclipse_ue4

UE4 Community Assets for VR Eclipse >4.15.1

economicintelligence

The project focused on the use of public data to assess the economic situation in the country based on the state of the stock market and national means of payment, in particular - of the national currency. As sources are used: Open data Ministry of Finance of the Russian Federation These Moscow Exchange Google Finance Data Technologies used: Backend: Databases (relational) - Microsoft SQL Server 2014 Databases (multivariate) models DataMining, OLAP-cube - Microsoft Analysis Services 12.0 Веб-сервер - Windows Server 2012 / Internet Information Services Самописный ASP.NET HTTP Restful интерфейс для взаимодействия с Frontend ETL (загрузка и пре-процессинг данных, управление обновлением данных) SQL Server Integration Services 2014 (разработка в Visual Studio 2013, SSDT) Frontend: AngularJS ChartJS Twitter Bootstrap These were chosen so that the detail (granularity) in the set is not less than 1 day. The result has been created and filled with data analytic repository (Kimball model, topology - star), which was used to build a multi-dimensional databases and OLAP-based cubes on it, as well as models of analysis of data on two main algorithms: Microsoft Time Series, Microsoft Neural Network . To ensure interoperability frontend and backend server for backend-server was set up HTTP-Restful interface JSON-issuing documents in the form of finished sets. The project includes two main areas: Intelligent visualization of open data Analysis of open data and the construction of forecasts based on them Intelligent visualization involves the use of MDX-queries to the OLAP-cube, followed by depression (drilldown) in the data, the system allows the user to quickly find the "weak points" of the economy, as part of the data collected. To predict the time a standard mix of algorithms ARTXP / ARIMA, without the use of queries involving cross-prediction (but it is possible to enroll in the system correct data). These algorithms have been tested primarily on foreign exchange rates (US dollar) and the assets of banks included in the special list of Ministry of Finance. In addition, for assets shows the different customization options algorithms - a long-term, short-term and medium-term (balanced) plan. Assessing the impact of oil prices and foreign currency exchange rate for the total market capitalization was conducted on a sample of the data collected: companies with a total market capitalization of 100 to 500 million rubles, present in the market during 2013-2015 Analytical server builds the neural network receiving the input exchange rates, companies, the weighted average share price, total capitalization of the company and the price of oil to requests received models give the opportunity to evaluate the growth rate of \ fall (if at all) the company's capitalization at historical exchange rates and / or the cost of oil. Built a system can expand to include new indicators, which will significantly increase the accuracy of forecasting.

eegrunt

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

effect-of-electromagnetic-radiation-on-the-brain

This project aims at building a computational method to imulate the effect of electromagnetic radiations on a human brain.

elmerfem

Official git repository of Elmer FEM software

elwha

Elwha is a Java application for monitoring topics, sentiment and events on Twitter streams with the ability to generate notification messages before passing the presence of such events on to some additional workflow.

ema_vr_rehab

Unreal Engine virtual reality project to aid rehab pacient

emscripten

Emscripten: An LLVM-to-JavaScript Compiler

ence360-helicopter-stabilizer

eon

An open-source game engine

epoch

Epoch gamemode for Arma 3

epochcore

Epoch Mod for Arma 3

eqgrp

Decrypted content of eqgrp-auction-file.tar.xz

eqgrp_lost_in_translation

Decrypted content of odd.tar.xz.gpg, swift.tar.xz.gpg and windows.tar.xz.gpg

evolutiontree

examstressvr-unreal

Bachelor Thesis for an ExamStress VR app, Unreal Engine Version

exisoundvis

UE4 Plugin that loads .ogg files at Runtime and analysis them to get the Frequency Spectrum and control gameplay stuff with that data.