GitHub - vncoelho/cuda-optframe-hfm-forecasting: This projects is a template of the Deep Learning HFM. A tool that uses CUDA processing power for parallel exploration of forecasting evaluation during the training phase.

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This projects is a template of the Deep Learning HFM. A tool that uses CUDA processing power for parallel exploration of forecasting evaluation during the training phase.

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Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
INSTANCEmicroGridLiuAETreated		INSTANCEmicroGridLiuAETreated
OptFrame		OptFrame
REED		REED
Release		Release
cudasrc		cudasrc
doc		doc
mct		mct
.gitignore		.gitignore
AUTHORS		AUTHORS
COPYING		COPYING
EvaluatorOutoput-RealTimeForecastsAppredForecastAgaintReal		EvaluatorOutoput-RealTimeForecastsAppredForecastAgaintReal
LICENSE		LICENSE
MCT.java		MCT.java
Readme		Readme
allEvaluations		allEvaluations
main.cpp.old		main.cpp.old
makefile.old		makefile.old
mct.sh		mct.sh
results_APEN_SI		results_APEN_SI
runAPEN_SI.sh		runAPEN_SI.sh
runAPEN_SI_SpeedUp.sh		runAPEN_SI_SpeedUp.sh
runSpeedUp.sh		runSpeedUp.sh
speedUpFile		speedUpFile

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OptFrame - Optimization Framework

To get started (MCT for Windows/Linux):
- compile and run MCT.java application;
- this can be done like this: javac MCT.java && java MCT

To get started (MCT stable version for Linux only):
- run MCT.sh script

Good luck!

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This projects is a template of the Deep Learning HFM. A tool that uses CUDA processing power for parallel exploration of forecasting evaluation during the training phase.

Readme

Unknown, LGPL-3.0 licenses found