Name | Modified | Size | Downloads / Week |
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Parent folder | |||
README.md | 2025-02-23 | 3.0 kB | |
Release v1.0.15 source code.tar.gz | 2025-02-23 | 3.0 MB | |
Release v1.0.15 source code.zip | 2025-02-23 | 3.3 MB | |
Totals: 3 Items | 6.3 MB | 0 |
Feb 21, 2025
- SigLIP 2 ViT image encoders added (https://huggingface.co/collections/timm/siglip-2-67b8e72ba08b09dd97aecaf9)
- Variable resolution / aspect NaFlex versions are a WIP
- Add 'SO150M2' ViT weights trained with SBB recipes, great results, better for ImageNet than previous attempt w/ less training.
vit_so150m2_patch16_reg1_gap_448.sbb_e200_in12k_ft_in1k
- 88.1% top-1vit_so150m2_patch16_reg1_gap_384.sbb_e200_in12k_ft_in1k
- 87.9% top-1vit_so150m2_patch16_reg1_gap_256.sbb_e200_in12k_ft_in1k
- 87.3% top-1vit_so150m2_patch16_reg4_gap_256.sbb_e200_in12k
- Updated InternViT-300M '2.5' weights
- Release 1.0.15
Feb 1, 2025
- FYI PyTorch 2.6 & Python 3.13 are tested and working w/ current main and released version of
timm
Jan 27, 2025
- Add Kron Optimizer (PSGD w/ Kronecker-factored preconditioner)
- Code from https://github.com/evanatyourservice/kron_torch
- See also https://sites.google.com/site/lixilinx/home/psgd
What's Changed
- Fix metavar for
--input-size
by @JosuaRieder in https://github.com/huggingface/pytorch-image-models/pull/2417 - Add arguments to the respective argument groups by @JosuaRieder in https://github.com/huggingface/pytorch-image-models/pull/2416
- Add missing training flag to convert_sync_batchnorm by @collinmccarthy in https://github.com/huggingface/pytorch-image-models/pull/2423
- Fix num_classes update in reset_classifier and RDNet forward head call by @brianhou0208 in https://github.com/huggingface/pytorch-image-models/pull/2421
- timm: add all to init by @adamjstewart in https://github.com/huggingface/pytorch-image-models/pull/2399
- Fiddling with Kron (PSGD) optimizer by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2427
- Try to force numpy<2.0 for torch 1.13 tests, update newest tested torch to 2.5.1 by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2429
- Kron flatten improvements + stochastic weight decay by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2431
- PSGD: unify RNG by @ClashLuke in https://github.com/huggingface/pytorch-image-models/pull/2433
- Add vit so150m2 weights by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2439
- adapt_input_conv: add type hints by @adamjstewart in https://github.com/huggingface/pytorch-image-models/pull/2441
- SigLIP 2 by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2440
- timm.models: explicitly export attributes by @adamjstewart in https://github.com/huggingface/pytorch-image-models/pull/2442
New Contributors
- @collinmccarthy made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2423
- @ClashLuke made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2433
Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.14...v1.0.15