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 |
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 |
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 |
Michael Monashev
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0be1fa4793
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Argument description fixed
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4 years ago |
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 |
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Aman Arora
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8e6fb861e4
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Add wandb support
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4 years ago |
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Ross Wightman
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779107b693
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Merge pull request #542 from juntang-zhuang/adabelief
Add Adabelief Optimizer
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4 years ago |
Juntang Zhuang
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74366f733c
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Delete distributed_train_adabelief.sh
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4 years ago |
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Juntang Zhuang
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1d848f409a
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Delete args.yaml
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4 years ago |
juntang
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addfc7c1ac
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adabelief
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4 years ago |
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Ross Wightman
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fb896c0b26
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Update some comments re preliminary EfficientNet-V2 assumptions
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4 years ago |
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Ross Wightman
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2b49ab7a36
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Fix ResNetV2 pretrained classifier issue. Fixes #540
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4 years ago |
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Ross Wightman
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de9dff933a
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EfficientNet-V2S preliminary model def (for experimentation)
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4 years ago |
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Ross Wightman
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d5ed58d623
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Merge pull request #533 from rwightman/pit_and_vit_update
Addition of PiT models and update/cleanup of ViT, new NFNet weight, TFDS wrapper fix, few misc fixes/updates
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4 years ago |
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Ross Wightman
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37c71a5609
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Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
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4 years ago |
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Ross Wightman
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2bb65bd875
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Wrong default_cfg pool_size for L1
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4 years ago |
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Ross Wightman
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bf2ca6bdf4
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Merge jax and original weight init
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4 years ago |
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Ross Wightman
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acbd698c83
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Update README.md with updates. Small tweak to head_dist handling.
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4 years ago |
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Ross Wightman
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9071568f0e
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Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
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4 years ago |
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Ross Wightman
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c468c47a9c
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Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
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4 years ago |
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Ross Wightman
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288682796f
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Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
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4 years ago |
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Ross Wightman
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ea9c9550b2
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Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
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4 years ago |
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Ross Wightman
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a5310a3451
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Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
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4 years ago |
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Ross Wightman
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7953e5d11a
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Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
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4 years ago |
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Ross Wightman
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a760a4c3f4
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Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
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4 years ago |
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Ross Wightman
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0dfc5a66bb
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Add PiT model from https://github.com/naver-ai/pit
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4 years ago |
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Ross Wightman
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1ad1645a50
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Merge branch 'contrastive-master'
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4 years ago |
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Ross Wightman
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51febd869b
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Small tweak to tests for tnt model, reorder model imports.
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4 years ago |
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Ross Wightman
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b27a4e0d88
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Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
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4 years ago |
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Ross Wightman
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2319cbbff2
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Merge pull request #525 from amaarora/spp
Add `ActivationStatsHook` to allow extracting activation stats for Signal Propogation Plots
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4 years ago |
