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README.md
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---
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license: apache-2.0
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pretty_name: accelerate metrics
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tags:
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- github-stars
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---
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# accelerate metrics
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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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tab on GitHub.
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### Package & Repository star count
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| 18 |
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This section shows the package and repository star count, individually.
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| 20 |
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Package | Repository
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| 23 |
+
:-------------------------:|:-------------------------:
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There are 10 packages that have more than 1000 stars.
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There are 15 repositories that have more than 1000 stars.
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The top 10 in each category are the following:
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| 32 |
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| 33 |
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*Package*
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| 34 |
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| 35 |
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[huggingface/transformers](https://github.com/huggingface/transformers): 69651
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| 36 |
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| 37 |
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[fastai/fastai](https://github.com/fastai/fastai): 22719
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| 38 |
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7526
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[kornia/kornia](https://github.com/kornia/kornia): 7031
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| 42 |
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[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 6495
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| 44 |
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5020
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| 46 |
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| 47 |
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 4633
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| 48 |
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| 49 |
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2982
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| 50 |
+
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| 51 |
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[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 1544
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| 52 |
+
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| 53 |
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[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 1099
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| 54 |
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| 55 |
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*Repository*
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| 56 |
+
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| 57 |
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[huggingface/transformers](https://github.com/huggingface/transformers): 69651
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| 58 |
+
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| 59 |
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[google-research/google-research](https://github.com/google-research/google-research): 24875
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| 60 |
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| 61 |
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[ray-project/ray](https://github.com/ray-project/ray): 21869
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| 62 |
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| 63 |
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7526
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| 64 |
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| 65 |
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[kornia/kornia](https://github.com/kornia/kornia): 7031
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| 66 |
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| 67 |
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5020
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| 68 |
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| 69 |
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[wandb/wandb](https://github.com/wandb/wandb): 4693
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| 70 |
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| 71 |
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[skorch-dev/skorch](https://github.com/skorch-dev/skorch): 4662
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| 72 |
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 4633
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| 74 |
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2982
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| 76 |
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| 77 |
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| 78 |
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### Package & Repository fork count
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| 79 |
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| 80 |
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This section shows the package and repository fork count, individually.
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| 81 |
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| 82 |
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Package | Repository
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| 83 |
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:-------------------------:|:-------------------------:
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| 84 |
+
 | 
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| 85 |
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There are 9 packages that have more than 200 forks.
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There are 16 repositories that have more than 200 forks.
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| 90 |
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| 91 |
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The top 10 in each category are the following:
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| 92 |
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| 93 |
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*Package*
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| 94 |
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| 95 |
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[huggingface/transformers](https://github.com/huggingface/transformers): 16026
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| 96 |
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| 97 |
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[fastai/fastai](https://github.com/fastai/fastai): 7288
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| 98 |
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| 99 |
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[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 966
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| 100 |
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| 101 |
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[kornia/kornia](https://github.com/kornia/kornia): 706
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| 102 |
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| 103 |
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 560
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| 104 |
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 392
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 366
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| 108 |
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| 109 |
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 363
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| 110 |
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| 111 |
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[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 219
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| 112 |
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| 113 |
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[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 136
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| 114 |
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| 115 |
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*Repository*
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| 116 |
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| 117 |
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[huggingface/transformers](https://github.com/huggingface/transformers): 16026
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| 118 |
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| 119 |
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[google-research/google-research](https://github.com/google-research/google-research): 6080
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| 120 |
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| 121 |
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[ray-project/ray](https://github.com/ray-project/ray): 3847
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| 122 |
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| 123 |
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[roatienza/Deep-Learning-Experiments](https://github.com/roatienza/Deep-Learning-Experiments): 728
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| 124 |
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| 125 |
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[kornia/kornia](https://github.com/kornia/kornia): 706
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| 126 |
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| 127 |
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[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 560
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| 128 |
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| 129 |
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[nlp-with-transformers/notebooks](https://github.com/nlp-with-transformers/notebooks): 426
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| 130 |
+
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| 131 |
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[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 392
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| 132 |
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| 133 |
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[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 366
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| 134 |
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| 135 |
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[huggingface/diffusers](https://github.com/huggingface/diffusers): 363
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| 136 |
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