Accelerating Machine Learning Research with MI-PrometheusDownload PDF

Oct 29, 2018NIPS 2018 Workshop MLOSS Paper7 DecisionReaders: Everyone
  • Keywords: machine learning, pytorch, model, problem, grid worker
  • TL;DR: The paper presents a PyTorch-based, open-source framework for machine learning.
  • Abstract: The paper introduces MI-Prometheus (Machine Intelligence - Prometheus), an open-source framework aiming at accelerating Machine Learning Research, by fostering the rapid development of diverse neural network-based models and facilitating their comparison. In its core, to accelerate the computations on their own, MI-Prometheus relies on PyTorch and extensively uses its mechanisms for the distribution of computations on CPUs/GPUs. The paper discusses the motivation of our work, the formulation of the requirements and presents the core concepts. We also briefly describe some of the problems and models currently available in the framework.
  • Decision: accept
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