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pytorch-image-models-dependents

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	---
	license: apache-2.0
	pretty_name: pytorch-image-models metrics
	tags:
	- github-stars
	dataset_info:
	features:
	- name: name
	dtype: 'null'
	- name: stars
	dtype: 'null'
	- name: forks
	dtype: 'null'
	splits:
	- name: package
	- name: repository
	download_size: 1798
	dataset_size: 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](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