DOKSparse

sparse DOK tensors on GPU, pytorch (by DeMoriarty)

DOKSparse Alternatives

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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 DOKSparse alternative or higher similarity.

DOKSparse reviews and mentions

Posts with mentions or reviews of DOKSparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.
  • GDlog: A GPU-Accelerated Deductive Engine
    16 projects | news.ycombinator.com | 3 Dec 2023
  • tensor.to_sparse() Memory Allocation
    1 project | /r/pytorch | 22 Apr 2023
    If using sparse tensors is a must, you can look into DOK sparse format, which is supported for 2d matrices in scipy. it kinda allows you to access any element of the sparse tensor in constant time, which makes it possible to create your tensor directly in sparse format, skipping the need to create a dense numpy array first. In case you need a GPU version of this, I have a library that implements sparse dok tensor in pytorch and cuda. currently it's GPU only.

Stats

Basic DOKSparse repo stats
2
2
4.2
10 months ago

DeMoriarty/DOKSparse is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of DOKSparse is Cuda.


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