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 |
|---|---|
 |
 |
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 |
|---|---|
 |
 |
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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