orhuff

FYS-STK-4155-Project1-Regression

FYS-STK-4155-Project2-Neural-Networks

GPGN_436_536

Jupyter notebooks for courses GPGN 436/536

MachineLearning

Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms.

near_offset_reconstruction_CNN

Code for convolutional neural networks that are trained to reconstruct the near offset gap in marine seismic data.

orhuff.github.io

owen

keras-vision-transformer

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

orhuff/FYS-STK-4155-Project1-Regression

orhuff/FYS-STK-4155-Project2-Neural-Networks

orhuff/GPGN_436_536

Jupyter notebooks for courses GPGN 436/536

orhuff/MachineLearning

Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms.

orhuff/near_offset_reconstruction_CNN

Code for convolutional neural networks that are trained to reconstruct the near offset gap in marine seismic data.

orhuff/orhuff.github.io

orhuff/owen