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---
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