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README.md
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This dataset contains metrics about the huggingface/accelerate package.
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## Package dependents
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This contains the data available in the [used-by](https://github.com/huggingface/accelerate/network/dependents)
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There are 10 packages that have more than 1000 stars.
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There are
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The top 10 in each category are the following:
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*Package*
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[huggingface/transformers](https://github.com/huggingface/transformers):
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[fastai/fastai](https://github.com/fastai/fastai):
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch):
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[kornia/kornia](https://github.com/kornia/kornia):
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[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d):
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst):
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[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch):
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[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez):
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*Repository*
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[huggingface/transformers](https://github.com/huggingface/transformers):
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[google-research/google-research](https://github.com/google-research/google-research):
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[ray-project/ray](https://github.com/ray-project/ray):
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch):
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[kornia/kornia](https://github.com/kornia/kornia):
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst):
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### Package & Repository fork count
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*Package*
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[huggingface/transformers](https://github.com/huggingface/transformers):
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[fastai/fastai](https://github.com/fastai/fastai):
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[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d):
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[kornia/kornia](https://github.com/kornia/kornia):
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch):
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[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch):
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[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 136
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*Repository*
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[huggingface/transformers](https://github.com/huggingface/transformers):
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[google-research/google-research](https://github.com/google-research/google-research):
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[ray-project/ray](https://github.com/ray-project/ray):
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[roatienza/Deep-Learning-Experiments](https://github.com/roatienza/Deep-Learning-Experiments):
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[kornia/kornia](https://github.com/kornia/kornia):
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch):
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This dataset contains metrics about the huggingface/accelerate package.
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Number of repositories in the dataset: 727
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Number of packages in the dataset: 37
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## Package dependents
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This contains the data available in the [used-by](https://github.com/huggingface/accelerate/network/dependents)
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There are 10 packages that have more than 1000 stars.
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There are 16 repositories that have more than 1000 stars.
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The top 10 in each category are the following:
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*Package*
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[huggingface/transformers](https://github.com/huggingface/transformers): 70480
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[fastai/fastai](https://github.com/fastai/fastai): 22774
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7674
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[kornia/kornia](https://github.com/kornia/kornia): 7103
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[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 6548
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 5457
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5113
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2985
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[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 1727
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[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 1101
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*Repository*
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[huggingface/transformers](https://github.com/huggingface/transformers): 70480
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[google-research/google-research](https://github.com/google-research/google-research): 25092
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[ray-project/ray](https://github.com/ray-project/ray): 22047
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7674
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[kornia/kornia](https://github.com/kornia/kornia): 7103
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 5457
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5113
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[wandb/wandb](https://github.com/wandb/wandb): 4738
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[skorch-dev/skorch](https://github.com/skorch-dev/skorch): 4679
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2985
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### Package & Repository fork count
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*Package*
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[huggingface/transformers](https://github.com/huggingface/transformers): 16157
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[fastai/fastai](https://github.com/fastai/fastai): 7297
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[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 975
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[kornia/kornia](https://github.com/kornia/kornia): 723
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 582
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 490
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 412
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 366
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[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 235
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[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 136
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*Repository*
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[huggingface/transformers](https://github.com/huggingface/transformers): 16157
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[google-research/google-research](https://github.com/google-research/google-research): 6139
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[ray-project/ray](https://github.com/ray-project/ray): 3876
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[roatienza/Deep-Learning-Experiments](https://github.com/roatienza/Deep-Learning-Experiments): 729
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[kornia/kornia](https://github.com/kornia/kornia): 723
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 582
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 490
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[nlp-with-transformers/notebooks](https://github.com/nlp-with-transformers/notebooks): 436
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 412
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 366
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