Vision Mamba - Pytorch
Project description
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 codemake check_code_quality
to check code quality (PEP8 basically)black .
ruff . --fix
Tests 🧪
pytests
is used to run our tests.
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vision_mamba-0.0.1.tar.gz
(3.7 kB
view hashes)
Built Distribution
Close
Hashes for vision_mamba-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16d3a1f00c6c499c7a1d3e4b63e544e42021add1ea0b09d62a0ff16bf8c1b819 |
|
MD5 | 6022bfa1d5bbbef65b8fa2f7cf4a7a33 |
|
BLAKE2b-256 | 69c77289a8cad26099271e7fb5e102df0153a863d7f51ca9c0d21432814ad13b |