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allenai/XNOR-Net

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XNOR Net

Features

  • Efficient Neural Networks - Binary convolutional neural networks for efficient inference.
  • Quantization Frameworks - ImageNet classification using binary convolutional neural networks.

Star history

Star history chart for allenai/xnor-netStar history chart for allenai/xnor-net

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with XNOR Net

These projects share indexed features with XNOR Net. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • 1hunters/limpq1

    1hunters/LIMPQ

    0View on GitHub↗
    View on GitHub↗0
  • 42shawn/causal-dfq4

    42Shawn/Causal-DFQ

    0View on GitHub↗
    View on GitHub↗0
  • aaronhuang-778/billmA

    Aaronhuang-778/BiLLM

    0View on GitHub↗
    View on GitHub↗0
  • 1adrianb/expert-binary-networks1

    1adrianb/expert-binary-networks

    0View on GitHub↗
    View on GitHub↗0
Compare all 30 related projects→

Frequently asked questions

What are the main features of allenai/xnor-net?

The main features of allenai/xnor-net are: Efficient Neural Networks, Quantization Frameworks.

Which projects share features with allenai/xnor-net?

Projects with overlapping indexed features include: 1hunters/limpq. 42shawn/causal-dfq. aaronhuang-778/billm. aaronhuang-778/slim-llm. aldakata/trainingdynamicsquantizationrobustness. 1adrianb/expert-binary-networks.