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.
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.
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
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
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