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name (string)stars (int64)forks (int64)
"okunator/cellseg_models.pytorch"
15
0
"openpifpaf/openpifpaf_extras"
1
0
"facebookresearch/omnivore"
428
26
"microsoft/Semi-supervised-learning"
275
17
"TL-System/plato"
175
42
"dlmacedo/robust-deep-learning"
5
1
"fcakyon/video-transformers"
4
0
"eora-ai/torchok"
22
6
"ViCCo-Group/THINGSvision"
73
11
"hmorimitsu/ptlflow"
93
6
"samedii/perceptor"
1
1
"clovaai/donut"
731
60
"BrainCog-X/Brain-Cog"
115
22
"entelecheia/ekorpkit"
2
0
"devProgst/gag-python"
0
1
"qubvel/segmentation_models.pytorch"
6,148
1,228
"matjesg/deepflash2"
38
6
"fernandoTB/BLIP"
0
0
"kwchurch/gft"
8
4
"awslabs/autogluon"
4,849
643
"openvinotoolkit/anomalib"
1,203
192
"warner-benjamin/fastxtend"
21
3
"KevinMusgrave/pytorch-adapt"
192
9
"FlyreelAI/sesemi"
29
2
"fastai/fastai"
22,809
7,304
"ZJCV/ZCls2"
6
1
"alibaba/EasyCV"
1,120
103
"lukas-blecher/LaTeX-OCR"
2,082
255
"Deeplite/deeplite-torch-zoo"
21
6
"leeguandong/mmdetection_add"
4
0
"Emilien-mipt/fer-pytorch"
9
0
"yoshitomo-matsubara/sc2-benchmark"
3
2
"open-mmlab/mmrazor"
740
129
"open-mmlab/mmselfsup"
2,282
323
"Averylamp/composer"
2
0
"open-mmlab/mmdetection"
21,509
7,828
"i008/zeroml"
0
0
"vita-epfl/openpifpaf"
44
15
"chaofengc/IQA-PyTorch"
293
31
"SforAiDl/vformer"
139
22
"avensolutions/hcat-py"
0
0
"jlehrer1/ConvNeXt-lightning"
2
0
"gradsflow/gradsflow"
286
35
"likyoo/change_detection.pytorch"
154
41
"neuml/txtai"
2,564
245
"MarcSkovMadsen/paithon"
4
0
"vturrisi/solo-learn"
986
115
"martinsbruveris/tensorflow-image-models"
210
14
"Chris-hughes10/pytorch-accelerated"
85
10
"microsoft/torchgeo"
1,032
116
"HolyWu/vs-swinir"
11
0
"adines/SemiCompact"
3
0
"zbr17/GeDML"
30
2
"hysts/pytorch_mpiigaze_demo"
160
41
"AI4Bharat/OpenHands"
62
4
"BioinfoMachineLearning/DeepInteract"
43
9
"NMZ0429/sample_pip"
0
0
"Ys-Prakash/transcv"
4
0
"faustomorales/mira"
5
0
"openpifpaf/openpifpaf"
959
211
"kritiksoman/GIMP-ML"
1,123
86
"qanastek/EasyTTS"
2
0
"qanastek/HugsVision"
166
17
"BloodAxe/pytorch-toolbelt"
1,303
110
"jitdee-ai/darmo"
4
1
"adapter-hub/adapter-transformers"
1,015
178
"open-mmlab/mmaction2"
2,387
801
"huggingface/transformers"
71,001
16,261
"zihangJiang/TokenLabeling"
367
32
"MVIG-SJTU/AlphaPose"
6,440
1,773
"Lightning-AI/lightning-flash"
1,556
179
"eltoto1219/vltk"
0
0
"JeiKeiLim/kindle"
75
7
"p-s-vishnu/cassava-leaf-disease-classification"
6
4
"bwolfson97/plant_pathology"
0
0
"KeremTurgutlu/self_supervised"
264
28
"walkwithfastai/walkwithfastai.github.io"
115
49
"DevoLearn/devolearn"
32
26
"hududed/aidkitHW"
0
0
"ternaus/datasouls_antispoof"
30
4
"oke-aditya/quickvision"
49
5
"ternaus/check_orientation"
52
9
"albumentations-team/autoalbument"
161
19
"rwightman/efficientdet-pytorch"
1,392
265
"core-ml/coreml"
16
3
"benayas1/benatools"
2
0
"oke-aditya/pytorch_cnn_trainer"
26
4
"ternaus/facemask_detection"
28
5
"Kshitij09/fast_impl"
0
0

pytorch-image-models metrics

This dataset contains metrics about the huggingface/pytorch-image-models package.

Number of repositories in the dataset: 3615 Number of packages in the dataset: 89

Package dependents

This contains the data available in the used-by tab on GitHub.

Package & Repository star count

This section shows the package and repository star count, individually.

Package Repository
pytorch-image-models-dependent package star count pytorch-image-models-dependent repository star count

There are 18 packages that have more than 1000 stars.

There are 39 repositories that have more than 1000 stars.

The top 10 in each category are the following:

Package

huggingface/transformers: 70536

fastai/fastai: 22776

open-mmlab/mmdetection: 21390

MVIG-SJTU/AlphaPose: 6424

qubvel/segmentation_models.pytorch: 6115

awslabs/autogluon: 4818

neuml/txtai: 2531

open-mmlab/mmaction2: 2357

open-mmlab/mmselfsup: 2271

lukas-blecher/LaTeX-OCR: 1999

Repository

huggingface/transformers: 70536

commaai/openpilot: 35919

facebookresearch/detectron2: 22287

ray-project/ray: 22057

open-mmlab/mmdetection: 21390

NVIDIA/DeepLearningExamples: 9260

microsoft/unilm: 6664

pytorch/tutorials: 6331

qubvel/segmentation_models.pytorch: 6115

hpcaitech/ColossalAI: 4944

Package & Repository fork count

This section shows the package and repository fork count, individually.

Package Repository
pytorch-image-models-dependent package forks count pytorch-image-models-dependent repository forks count

There are 12 packages that have more than 200 forks.

There are 28 repositories that have more than 200 forks.

The top 10 in each category are the following:

Package

huggingface/transformers: 16175

open-mmlab/mmdetection: 7791

fastai/fastai: 7296

MVIG-SJTU/AlphaPose: 1765

qubvel/segmentation_models.pytorch: 1217

open-mmlab/mmaction2: 787

awslabs/autogluon: 638

open-mmlab/mmselfsup: 321

rwightman/efficientdet-pytorch: 265

lukas-blecher/LaTeX-OCR: 247

Repository

huggingface/transformers: 16175

open-mmlab/mmdetection: 7791

commaai/openpilot: 6603

facebookresearch/detectron2: 6033

ray-project/ray: 3879

pytorch/tutorials: 3478

NVIDIA/DeepLearningExamples: 2499

microsoft/unilm: 1223

qubvel/segmentation_models.pytorch: 1217

layumi/Person_reID_baseline_pytorch: 928

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