Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,140 @@
+---
+license: apache-2.0
+pretty_name: pytorch-image-models metrics
+tags:
+- github-stars
+---
+
+# 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](https://github.com/huggingface/pytorch-image-models/network/dependents)
+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-dependents/resolve/main/pytorch-image-models-dependent_package_star_count.png)  |  ![pytorch-image-models-dependent repository star count](./pytorch-image-models-dependents/resolve/main/pytorch-image-models-dependent_repository_star_count.png)
+
+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](https://github.com/huggingface/transformers): 70536
+
+[fastai/fastai](https://github.com/fastai/fastai): 22776
+
+[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 21390
+
+[MVIG-SJTU/AlphaPose](https://github.com/MVIG-SJTU/AlphaPose): 6424
+
+[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 6115
+
+[awslabs/autogluon](https://github.com/awslabs/autogluon): 4818
+
+[neuml/txtai](https://github.com/neuml/txtai): 2531
+
+[open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2): 2357
+
+[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup): 2271
+
+[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR): 1999
+
+*Repository*
+
+[huggingface/transformers](https://github.com/huggingface/transformers): 70536
+
+[commaai/openpilot](https://github.com/commaai/openpilot): 35919
+
+[facebookresearch/detectron2](https://github.com/facebookresearch/detectron2): 22287
+
+[ray-project/ray](https://github.com/ray-project/ray): 22057
+
+[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 21390
+
+[NVIDIA/DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples): 9260
+
+[microsoft/unilm](https://github.com/microsoft/unilm): 6664
+
+[pytorch/tutorials](https://github.com/pytorch/tutorials): 6331
+
+[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 6115
+
+[hpcaitech/ColossalAI](https://github.com/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-dependents/resolve/main/pytorch-image-models-dependent_package_forks_count.png)  |  ![pytorch-image-models-dependent repository forks count](./pytorch-image-models-dependents/resolve/main/pytorch-image-models-dependent_repository_forks_count.png)
+
+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](https://github.com/huggingface/transformers): 16175
+
+[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 7791
+
+[fastai/fastai](https://github.com/fastai/fastai): 7296
+
+[MVIG-SJTU/AlphaPose](https://github.com/MVIG-SJTU/AlphaPose): 1765
+
+[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 1217
+
+[open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2): 787
+
+[awslabs/autogluon](https://github.com/awslabs/autogluon): 638
+
+[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup): 321
+
+[rwightman/efficientdet-pytorch](https://github.com/rwightman/efficientdet-pytorch): 265
+
+[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR): 247
+
+*Repository*
+
+[huggingface/transformers](https://github.com/huggingface/transformers): 16175
+
+[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 7791
+
+[commaai/openpilot](https://github.com/commaai/openpilot): 6603
+
+[facebookresearch/detectron2](https://github.com/facebookresearch/detectron2): 6033
+
+[ray-project/ray](https://github.com/ray-project/ray): 3879
+
+[pytorch/tutorials](https://github.com/pytorch/tutorials): 3478
+
+[NVIDIA/DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples): 2499
+
+[microsoft/unilm](https://github.com/microsoft/unilm): 1223
+
+[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 1217
+
+[layumi/Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch): 928
+
+