tinygrad Image Models
A collection of vision models implemented in tinygrad, in a similar vein to timm.
Mostly targeting models trained on Imagenet-1k, and other models that are fast on resource-constrained devices.
Models
- ShuffleNetV2 - paper code
- GhostNetV2 - paper code
- FocalNet - paper code
- FastViT - paper code
- RepViT - paper code
TODO
- For models that can be reparameterized, add that functionality
- Training
License
See LICENSE.
Certain parts of the code are adapted from the original implementations, but they should all be under permissive licenses.
1 maintainer
Release files for tgim 0.0.0
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Source distribution (sdist)
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| tgim-0.0.0.tar.gz | 13.3 kB | Details |
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| tgim-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.7 kB
Release files / tgim-0.0.0.tar.gz
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