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Vision Mamba - Pytorch

Project description

Multi-Modality

Vision Mamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

Installation

You can install the package using pip

pip install -e .

Usage


Code Quality 🧹

  • make style to format the code
  • make check_code_quality to check code quality (PEP8 basically)
  • black .
  • ruff . --fix

Tests 🧪

pytests is used to run our tests.

License

MIT

Project details


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vision_mamba-0.0.1.tar.gz (3.7 kB view hashes)

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vision_mamba-0.0.1-py3-none-any.whl (3.7 kB view hashes)

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