Pinned Repositories
course-projects
Repo for submitting and hosting material on student projects
DataTest
DeterministicTransport
FeedforwardNetwork
This neural network was implemented to classify images in the CIFAR-10 dataset into two classes. The network has one hidden layer with a ReLu activation function and a two class cross entropy cost function at the output. The model was trained using stochastic mini-batch gradient descent with momentum optimization.
final-project-grechasneak
final-project-grechasneak created by GitHub Classroom
ML_FeatureAnalysis
Monte_carlo_neutron_transport
Object oriented implementation of a monte carlo simulation of neutron transport in 1-D assembly geometry.
osu-transport
ph464-fall2018
RandForest_HeatLoss
Random forest model that generates a correction factor the thermal diffusivity measured using the laser flash method.
grechasneak's Repositories
grechasneak/course-projects
Repo for submitting and hosting material on student projects
grechasneak/DataTest
grechasneak/DeterministicTransport
grechasneak/FeedforwardNetwork
This neural network was implemented to classify images in the CIFAR-10 dataset into two classes. The network has one hidden layer with a ReLu activation function and a two class cross entropy cost function at the output. The model was trained using stochastic mini-batch gradient descent with momentum optimization.
grechasneak/final-project-grechasneak
final-project-grechasneak created by GitHub Classroom
grechasneak/ML_FeatureAnalysis
grechasneak/Monte_carlo_neutron_transport
Object oriented implementation of a monte carlo simulation of neutron transport in 1-D assembly geometry.
grechasneak/osu-transport
grechasneak/ph464-fall2018
grechasneak/RandForest_HeatLoss
Random forest model that generates a correction factor the thermal diffusivity measured using the laser flash method.
grechasneak/project-three-grechasneak
project-three-grechasneak created by GitHub Classroom
grechasneak/project-two-grechasneak
project-two-grechasneak created by GitHub Classroom
grechasneak/ScientificComputingFinal