[P] DLPrimitives - wondering about best development direction

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • dlprimitives

    Deep Learning Primitives and Mini-Framework for OpenCL

    • BTW Performance numbers: https://github.com/artyom-beilis/dlprimitives/blob/master/docs/benchmarks/benchmarks-gtx1080.md (I just added below TF2 that is missing in docs)

  • pytorch-coriander

    OpenCL build of pytorch - (in-progress, not useable)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • tensorflow-opencl

    OpenCL support for TensorFlow

  • plaidml

    PlaidML is a framework for making deep learning work everywhere.

    • Not really: https://github.com/plaidml/plaidml/commits/plaidml-v1

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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