17 citations · 52 across the 8 of their papers we have counts for
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cs.DC2017★ 16 cited
An MPI-Based Python Framework for Distributed Training with Keras
Dustin Anderson, Jean-Roch Vlimant, Maria Spiropulu
We present a lightweight Python framework for distributed training of neural networks on multiple GPUs or CPUs. The framework is built on the popular Keras machine learning library…
physics.data-an2017★ 1 cited
Deep learning for inferring cause of data anomalies
V. Azzolini, M. Borisyak, G. Cerminara +10
Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different su…