[D] Deep Learning Framework Benchmark

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

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  • dl_bench

    I made a blog article about benchmarking deep learning framworks and the code is open sourced on github.

  • kompute

    General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

    There is also kompute that could be interesting (I participated a bit on making some examples).

  • 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.

  • oneflow

    OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

    Great. Maybe you can also try our project OneFlow, which is a performance-centered deep learning framework.

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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