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Joseph Omar
Dinov2
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qasfb-patch-3
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add-features-pca-nb
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Created with Raphaël 2.2.0
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fix reqs
main
main
[bug] Fix interpolation of positional embeddings (#378)
Update vision_transformer.py (#331)
Update vision_transformer.py
qasfb-patch-3
qasfb-patch-3
Lint
Update param_groups.py (#283)
Update param_groups.py
qasfb-patch-2
qasfb-patch-2
Update param_groups.py
More top-level README updates
Add more prominent link to paper
Add new backbones trained with registers (#282)
Fix interpolate parameters to allow tracing (#247)
Expose DPT depth models via torch.hub.load() (#238)
Expose linear depth models via PyTorch Hub (#237)
Minor config tweaks (#246)
Rework Pytorch Hub support code (#202)
Update implementation of scaled_index_add and index_select_cat with fallback
qasfb-patch-1
qasfb-patch-1
Update README (#189)
Fix broken links in notebooks
Update notebook
add-features-pc…
add-features-pca-nb
Rename
Add a basic notebook demo-ing PCA of patch features
Add semantic segmentation (Mask2Former) code (#186)
Add semantic segmentation (linear) code (#185)
Add depth estimation code (#184)
Add (optional) extras dependencies (#183)
Update license everywhere (#182)
Set default number of nodes to 1
Allow disabling xFormers via environment variable (#180)
Add missing hubconf arg (#178)
Remove mutable default arguments (#170)
Exclude venv from flake8 linting (#168)
Try to fix embedded video in README.md (#165)
Correct some typos (#62)
Do not force using FlashAttention (#58)
Fix linear classifier wrapper (#61)
Improve and fix ImageNet-1k dataset preparation (#60)
Datasets interface cleanup (#59)
Clarify some of the README.md contents (#31)
Minor tweaks to README.md (#5)
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