karoaper

clustering-with-deep-auto-encoders

cStress-model

Provides model training and evaluation implementations

deep-residual-networks

Deep Residual Learning for Image Recognition

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow and XGBoost

differentially-expressed-gene-modeling-w-cnn

imbl

optimize-net

OptNet - Reducing memory usage in torch neural nets

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

resnet-generator

Generate Caffe Prototxt for Deep Residual Learning Network

stream-processor

Java implementation of the cStress framework

karoaper/clustering-with-deep-auto-encoders

karoaper/cStress-model

Provides model training and evaluation implementations

karoaper/deep-residual-networks

Deep Residual Learning for Image Recognition

karoaper/deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow and XGBoost

karoaper/differentially-expressed-gene-modeling-w-cnn

karoaper/imbl

karoaper/optimize-net

OptNet - Reducing memory usage in torch neural nets

karoaper/py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

karoaper/resnet-generator

Generate Caffe Prototxt for Deep Residual Learning Network

karoaper/stream-processor

Java implementation of the cStress framework