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A yml and a set of instructions to build a functioning horovod environment for distributed learning using keras and tensorflow (and torch on Cheaha
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This is a beginner tutorial on using R for beautiful visualizations
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Basic Singularity container commands
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Using https://blog.keras.io/building-autoencoders-in-keras.html as a template, this project is for building simple autoencoders for image denoising
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A yml and a set of instructions to build a functioning horovod environment for distributed learning using keras and tensorflow (and torch on Cheaha
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Working some basic parallel workflows in matlab
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A yml and a set of instructions to build a functioning horovod environment for distributed learning using keras and tensorflow (and torch on Cheaha
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This is a notebook for detecting anomalies in images based on an autoencoder reconstruction. The original autoencoder network is based off of https://www.datacamp.com/community/tutorials/reconstructing-brain-images-deep-learning
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