Ross Wightman
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e5e15754c9
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Fix coat first conv ident
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4 years ago |
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Ross Wightman
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76739a7589
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CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
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4 years ago |
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Ross Wightman
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026430c083
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Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
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4 years ago |
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Ross Wightman
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c03e45cbf3
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Merge branch 'mrT23-master'
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4 years ago |
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Ross Wightman
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a0492e3b48
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A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
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4 years ago |
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talrid
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8c1f03e56c
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comment
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4 years ago |
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talrid
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19e1b67a84
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old spaces
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4 years ago |
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talrid
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a443865876
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update naming and scores
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4 years ago |
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talrid
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cf0e371594
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84_0
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4 years ago |
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talrid
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0968bdeca3
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vit, tresnet and mobilenetV3 ImageNet-21K-P weights
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4 years ago |
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mrT23
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b81cd75eea
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Merge pull request #3 from rwightman/master
merge base
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4 years ago |
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morizin
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1e3b6d4dfc
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Update __init__.py
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4 years ago |
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morizin
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fd022fd6a2
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Update __init__.py
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4 years ago |
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morizin
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06841427cd
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Add files via upload
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4 years ago |
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morizin
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c2d5087eae
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Add files via upload
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4 years ago |
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Ross Wightman
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9a1bd358c7
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Merge pull request #571 from normster/augmix-fix
Enable uniform augmentation magnitude sampling and set AugMix default
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4 years ago |
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Norman Mu
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79640fcc1f
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Enable uniform augmentation magnitude sampling and set AugMix default
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4 years ago |
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Ross Wightman
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c1cf9712fc
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Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
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4 years ago |
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Ross Wightman
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e8a64fb881
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Test input size for efficientnet_v2s was wrong in last results run
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4 years ago |
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Ross Wightman
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a04427d8ce
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Add _in22k to bulk validate filter
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4 years ago |
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Ross Wightman
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af647c10b3
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Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
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4 years ago |
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Ross Wightman
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e15e68d881
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Fix #566, summary.csv writing to pwd on local_rank != 0. Tweak benchmark mem handling to see if it reduces likelihood of 'bad' exceptions on OOM.
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4 years ago |
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Ross Wightman
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1b0c8e7b01
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Merge branch 'iamhankai-master'
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4 years ago |
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Ross Wightman
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2df77ee5cb
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Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
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4 years ago |
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Ross Wightman
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d793deb51a
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Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
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4 years ago |
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Ross Wightman
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e685618f45
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Merge pull request #550 from amaarora/wandb
Wandb Support
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4 years ago |
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Ross Wightman
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277a9a78f9
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Fix unit test filter update.
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4 years ago |
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Ross Wightman
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858728799c
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Update README again. Add 101x3 BiT-M model to CI ignore since it's starting to fail in GitHub runners.
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4 years ago |
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Ross Wightman
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f606c45c38
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Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
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4 years ago |
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iamhankai
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de445e7827
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Add GhostNet
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4 years ago |
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Ross Wightman
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5a196dddf6
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Update README.md with latest, bump version to 0.4.8
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4 years ago |
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Ross Wightman
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ce6585f533
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Merge pull request #556 from rwightman/byoanet-self_attn
ByoaNet - Self Attn Networks - Bottleneck Transformers, Lambda ResNet, HaloNet
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4 years ago |
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Ross Wightman
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b3d7580df1
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Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
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4 years ago |
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Ross Wightman
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16f7aa9f54
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Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
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4 years ago |
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Ross Wightman
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4e4b863b15
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Missed norm.py
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4 years ago |
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Ross Wightman
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7c97e66f7c
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Remove commented code, add more consistent seed fn
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4 years ago |
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Ross Wightman
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364dd6a58e
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Merge branch 'master' into byoanet-self_attn
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4 years ago |
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Ross Wightman
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ce62f96d4d
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ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
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4 years ago |
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Ross Wightman
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cd3dc4979f
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Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like
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4 years ago |
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Ross Wightman
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21812d33aa
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Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
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4 years ago |
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Michael Monashev
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0be1fa4793
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Argument description fixed
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4 years ago |
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Aman Arora
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5772c55c57
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Make wandb optional
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4 years ago |
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Aman Arora
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f54897cc0b
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make wandb not required but rather optional as huggingface_hub
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4 years ago |
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Aman Arora
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f13f7508a9
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Keep changes to minimal and use args.experiment as wandb project name if it exists
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4 years ago |
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Aman Arora
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f8bb13f640
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Default project name to None
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4 years ago |
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Aman Arora
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8db8ff346f
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add wandb to requirements.txt
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4 years ago |
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Aman Arora
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3f028ebc0f
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import wandb in summary.py
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4 years ago |
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Aman Arora
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a9e5d9e5ad
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log loss as before
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4 years ago |
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Aman Arora
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624c9b6949
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log to wandb only if using using wandb
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4 years ago |
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Aman Arora
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00c8e0b8bd
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Make use of wandb configurable
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4 years ago |
