David Schneider's repositories
accyag
Apply transfer learning with vgg net to accelerator yag screens
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
xtcav-mlearn-doc
notebook documentation on xtcav machine learning project
dlib
A toolkit for making real world machine learning and data analysis applications in C++
gbrop
guided back prop work against psana-mlearn and h5-minibatch
h5-mlearn-minibatch
package to prepare minibatches from h5 input for a machine learning framework.
H5Writer
Demo parallel hdf5 writting with psana
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
LabelMeAnnotationTool
Source code for the LabelMe annotation tool.
psana-mlearn
Machine learning package, meant for use at LCLS/SLAC, with psana
pylabelme
Simple Image Annotation Tool
RAM
"Recurrent Models of Visual Attention" in TensorFlow
regress_xtcav
investigate regression, plots, etc, with xtcav
relevance-prop
investigating relevant propogation
self-seeding
looking at the self seeding data
vgg_xtcav
Try transfer learning from vgg onto xtcav
xtcav-mlearn
applying machine learning to xtcav analysis. xtcav is a imaging diagnostic for the LCLS beam at SLAC.
yaml-cpp
A YAML parser and emitter in C++