arXiv (Cornell University) · 2019 · 52 citations · 31 references
ComputingComputer EngineeringComputer ScienceArtificial IntelligenceMachine LearningNeural EngineeringData CompressionDeep LearningImage CompressionLossy Data CompressionNeural NetworksPattern RecognitionAutoencodersCompressionCompression AlgorithmsEncoder-decoder ArchitecturesModel CompressionNeural Data Compression
This paper presents the philosophy, design and feature-set of Neural Network Distiller, an open-source Python package for DNN compression research. Distiller is a library of DNN compression algorithms implementations, with tools, tutorials and sample applications for various learning tasks. Its target users are both engineers and researchers, and the rich content is complemented by a design-for-extensibility to facilitate new research. Distiller is open-source and is available on Github at https://github.com/NervanaSystems/distiller.
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