DirectML

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm. (by microsoft)

DirectML Alternatives

Similar projects and alternatives to DirectML

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better DirectML alternative or higher similarity.

DirectML reviews and mentions

Posts with mentions or reviews of DirectML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.
  • 'Everyone and Their Dog is Buying GPUs,' Musk Says as AI Startup Details Emerge
    5 projects | /r/hardware | 17 Apr 2023
    ONNX (https://onnx.ai/ https://github.com/onnx/onnx) is an alternative to the basic CUDA model, using Direct-ML ( https://learn.microsoft.com/en-us/windows/ai/directml/dml-intro https://github.com/microsoft/DirectML), which is a microsoft-backed open approach. That is what has allowed AMD cards, even slightly older ones, to join in on the machine learning fun.
  • AMD ROCm: A Wasted Opportunity
    2 projects | news.ycombinator.com | 18 Feb 2023
    It's really shocking that AMD fails to extend support natively.

    Workarounds such as DirectML claim to be the answer in unifying people with NVIDIA or AMD GPUs, but thus far it hasn't, with issues such as [this](https://github.com/microsoft/DirectML/issues/58) constantly popping up.

    As nicolaslem points out, Arch does have community packages for ROCm, but that, unsurprisingly fails to lend support to many consumer GPUs. The best community support I have come across are [rocm-opencl](https://copr.fedorainfracloud.org/coprs/mystro256/rocm-openc... [rocm-hip](https://copr.fedorainfracloud.org/coprs/mystro256/rocm-hip/) for Fedora maintained by [mystro256](https://github.com/Mystro256), who is a single AMD employee.Thanks to him, my AMD GPU (Radeon 6800XT) hasn't completely gone to waste, and I was able to tinker with some things (Gaming isn't really up my alley).

    Lately however, after beginning to work on DGX V100s and A100s, and using my older laptop with a GTX 1650, it was apparent how simple setting up CUDA was, and how easily I could experiment with it on my consumer card. Many have spoken about similar stories, and here's mine. Really hope AMD does a whole lot more, and doesn't exclusively keep their powerful GPUs for gaming.

  • nn-morse neural network mentioned in ftroop by VK6MIK
    2 projects | /r/ftroop | 23 Dec 2022
    You can use a NVidia gpu or the cpu to do the training but the cpu training is very very slow. For AMD graphics cards like the AMD Radeon VII the only solution is pytorch_directml but unfortunately there appears to be a bug that stops it working nn-morse and torch-directml memory leak? · Issue #355
  • A note from our sponsor - SaaSHub
    www.saashub.com | 28 Mar 2024
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Stats

Basic DirectML repo stats
26
1,898
7.4
10 days ago

microsoft/DirectML is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of DirectML is Python.

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