https://github.com/arogozhnikov/mlp-mixer-pytorch
An All-MLP solution for Vision, from Google AI
Science Score: 10.0%
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Low similarity (3.2%) to scientific vocabulary
Last synced: 11 months ago
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An All-MLP solution for Vision, from Google AI
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Fork of lucidrains/mlp-mixer-pytorch
Created about 5 years ago
· Last pushed about 5 years ago
https://github.com/arogozhnikov/mlp-mixer-pytorch/blob/main/
## MLP Mixer - Pytorch An All-MLP solution for Vision, from Google AI, in Pytorch. No convolutions nor attention needed! Yannic Kilcher video ## Install ```bash $ pip install mlp-mixer-pytorch ``` ## Usage ```python import torch from mlp_mixer_pytorch import MLPMixer model = MLPMixer( image_size = 256, patch_size = 16, dim = 512, depth = 12, num_classes = 1000 ) img = torch.randn(1, 3, 256, 256) pred = model(img) # (1, 1000) ``` ## Citations ```bibtex @misc{tolstikhin2021mlpmixer, title = {MLP-Mixer: An all-MLP Architecture for Vision}, author = {Ilya Tolstikhin and Neil Houlsby and Alexander Kolesnikov and Lucas Beyer and Xiaohua Zhai and Thomas Unterthiner and Jessica Yung and Daniel Keysers and Jakob Uszkoreit and Mario Lucic and Alexey Dosovitskiy}, year = {2021}, eprint = {2105.01601}, archivePrefix = {arXiv}, primaryClass = {cs.CV} } ```
Owner
- Name: Alex Rogozhnikov
- Login: arogozhnikov
- Kind: user
- Location: San Francisco
- Company: Aperture Science
- Website: https://arogozhnikov.github.io
- Repositories: 9
- Profile: https://github.com/arogozhnikov
ML + Science, einops, scientific tools