Alexander Soare
623e8b8eb8
wip xcit
3 years ago
Alexander Soare
23bb72ce5e
nested_transformer wip
3 years ago
Ross Wightman
742c2d5247
Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.
4 years ago
Ross Wightman
bfc72f75d3
Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.
4 years ago
Ross Wightman
f45de37690
Merge branch 'master' into levit_visformer_rednet
4 years ago
Ross Wightman
306c86b668
Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit
4 years ago
Aman Arora
40c506ba1e
Add ConViT
4 years ago
李鑫杰
00548b8427
Add Twins
4 years ago
Ross Wightman
ecc7552c5c
Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
4 years ago
Ross Wightman
5fcddb96a8
Merge branch 'master' into cait
4 years ago
Ross Wightman
12efffa6b1
Initial MLP-Mixer attempt...
4 years ago
Ross Wightman
1daa15ecc3
Initial Cait commit. Still some cleanup to do.
4 years ago
morizin
1e3b6d4dfc
Update __init__.py
4 years ago
morizin
fd022fd6a2
Update __init__.py
4 years ago
Ross Wightman
d793deb51a
Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
4 years ago
Ross Wightman
f606c45c38
Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
4 years ago
iamhankai
de445e7827
Add GhostNet
4 years ago
Ross Wightman
16f7aa9f54
Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
4 years ago
Ross Wightman
ce62f96d4d
ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
4 years ago
Ross Wightman
a5310a3451
Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 years ago
Ross Wightman
0dfc5a66bb
Add PiT model from https://github.com/naver-ai/pit
4 years ago
Ross Wightman
51febd869b
Small tweak to tests for tnt model, reorder model imports.
4 years ago
contrastive
4a09bc851e
Add TNT model
4 years ago
Ross Wightman
d584e7f617
Support for huggingface hub via create_model and default_cfgs.
...
* improve consistency of model creation helper fns
* add comments to some of the model helpers
* support passing external default_cfgs so they can be sourced from hub
4 years ago
AFLALO, Jonathan Isaac
82c1fe958a
added hardcorenas model
...
refactoring to support feature extraction
4 years ago
Ross Wightman
4f49b94311
Initial AGC impl. Still testing.
4 years ago
Ross Wightman
dc85e5a237
Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
4 years ago
Ross Wightman
5a8e1e643e
Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
4 years ago
Ross Wightman
231d04e91a
ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman
f31933cb37
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
4 years ago
Ross Wightman
14ef7a0dd6
Rename csp.py -> cspnet.py
4 years ago
Ross Wightman
7ba5a384d3
Add ReXNet w/ remapped weights, feature support
4 years ago
Ross Wightman
3b6cce4c95
Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
4 years ago
Ross Wightman
a66df5fb91
More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
4 years ago
Ross Wightman
eb7653614f
Monster commit, activation refactor, VoVNet, norm_act improvements, more
...
* refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto
* implement hard-mish, better grad for hard-swish
* add initial VovNet V1/V2 impl, fix #151
* VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN)
* Wrap IABN for any models that use it
* make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests
5 years ago
Ross Wightman
50658b9a67
Add RegNet models and weights
5 years ago
Ross Wightman
f4cdc2ac31
Add ResNeSt models
5 years ago
talrid
6209146738
TResNet models
5 years ago
Ross Wightman
13746a33fc
Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman
58e28dc7e7
Move Selective Kernel blocks/convs to their own sknet.py file
5 years ago
Ross Wightman
d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
...
AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more
5 years ago
Ross Wightman
7547119891
Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Dushyant Mehta
31939311f6
Added SelecSLS models
5 years ago
Dushyant Mehta
32012a44fd
Added SelecSLS model
5 years ago
Ross Wightman
902d32fb16
Renamed gen_efficientnet.py -> efficientnet.py
5 years ago
Ross Wightman
a39cc43374
Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo
...
* Split MobileNetV3 and EfficientNet model files and put builder and blocks in own files (getting too large)
* Finalize CondConv EfficientNet variant
* Add the AdvProp weights files and B8 EfficientNet model
* Refine the feature extraction module for EfficientNet and MobileNetV3
5 years ago
Ross Wightman
ad93347548
Initial HRNet classification model commit
5 years ago
rwightman
adbf770f16
Add Res2Net and DLA models w/ pretrained weights. Update sotabench.
5 years ago
Ross Wightman
4d505e0785
Add working Gluon Xception-65 model. Some cleanup still needed.
5 years ago
Ross Wightman
da52fcf78a
Add NASNet-Large model
5 years ago