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course

Course site

dam_detection

Dam detection using satellite imagery with Google Earth Engine and machine learning

deepops

Tools for building GPU clusters

ismi

intelligent systems in medical imaging

nn-hyperparameter

Natural computing assignment on tuning hyperparameters for neural networks

panda

Prostate cANcer graDe Assessment

pathology-streaming-pipeline

Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

speaker_estimation

Count the number of speakers in a conversation

stephandooper.github.io

streamingcnn

To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.