keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows (by getkeops)
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kernel-operations.io
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Keops Alternatives

Similar projects and alternatives to keops

  • hummingbird

    9 keops VS hummingbird

    Hummingbird compiles trained ML models into tensor computation for faster inference.

  • falkon

    3 keops VS falkon

    Large-scale, multi-GPU capable, kernel solver (by FalkonML)

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

Posts with mentions or reviews of keops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-30.
  • [D] GPU-enabled scikit-learn
    3 projects | /r/MachineLearning | 30 Dec 2022
    From direct discussions with the sklearn team, note that this may change relatively soon: a GPU engineer funded by Intel was recently added to the core development team. Last time I met with the team in person (6 months ago), the project was to factor some of the most GPU friendly computations out of the sklearn code base, such as K-Nearest Neighbor search or kernel-related computations, and to document an internal API to let external developers easily develop accelerated backends. As shown by e.g. our KeOps library, GPUs are extremely well suited to classical ML and sklearn is the perfect platform to let users fully take advantage of their hardware. Let’s hope that OP’s question will become redundant at some point in 2023-24 :-)
  • [Research] Optimizing a kernel matrix
    2 projects | /r/MachineLearning | 26 Nov 2021
    There has been major progress on the representation of kernel matrices over the last five years. Notably, the KeOps library is an extension for PyTorch/NumPy/etc. that allows you to perform the operations you're thinking of very quickly (10-100 faster than a standard GPU implementation with PyTorch), with low memory usage.
  • Scalable GPs [D]
    1 project | /r/MachineLearning | 6 Sep 2021
    For references on easy-to-use software, you may be interested by e.g. the Falkon and KeOps libraries that were presented as oral/spotlight at last year’s NeurIPS, GPyTorch that you may already know, etc.
  • KeOps: Kernel Operations on the GPU
    1 project | news.ycombinator.com | 8 May 2021
  • [D] why did kernel methods become less popular than neural networks?
    2 projects | /r/MachineLearning | 22 Apr 2021
    You're very welcome! As of today it is still mostly useful when you have less than 50-100 features per point (as detailed here or there), but it's very versatile. We are actively working on making it as useful as possible for the community: if you encounter any issue with it, feel free to let us know!
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    www.saashub.com | 2 May 2024
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Stats

Basic keops repo stats
5
994
9.5
8 days ago

getkeops/keops is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of keops is Python.

Popular Comparisons

  1. keops VS hummingbird
  2. keops VS falkon

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