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accelerate-dependents

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	---
	license: apache-2.0
	pretty_name: accelerate metrics
	tags:
	- github-stars
	dataset_info:
	features:
	- name: name
	dtype: string
	- name: stars
	dtype: int64
	- name: forks
	dtype: int64
	splits:
	- name: package
	num_bytes: 4874
	num_examples: 116
	- name: repository
	num_bytes: 162350
	num_examples: 3488
	download_size: 100048
	dataset_size: 167224
	---

	# accelerate metrics

	This dataset contains metrics about the huggingface/accelerate package.

	Number of repositories in the dataset: 727
	Number of packages in the dataset: 37

	## Package dependents

	This contains the data available in the [used-by](https://github.com/huggingface/accelerate/network/dependents)
	tab on GitHub.

	### Package & Repository star count

	This section shows the package and repository star count, individually.


	Package \| Repository
	:-------------------------:\|:-------------------------:
	![accelerate-dependent package star count](./accelerate-dependents/resolve/main/accelerate-dependent_package_star_count.png) \| ![accelerate-dependent repository star count](./accelerate-dependents/resolve/main/accelerate-dependent_repository_star_count.png)

	There are 10 packages that have more than 1000 stars.

	There are 16 repositories that have more than 1000 stars.


	The top 10 in each category are the following:

	Package

	[huggingface/transformers](https://github.com/huggingface/transformers): 70480

	[fastai/fastai](https://github.com/fastai/fastai): 22774

	[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7674

	[kornia/kornia](https://github.com/kornia/kornia): 7103

	[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 6548

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 5457

	[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5113

	[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2985

	[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 1727

	[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 1101

	Repository

	[huggingface/transformers](https://github.com/huggingface/transformers): 70480

	[google-research/google-research](https://github.com/google-research/google-research): 25092

	[ray-project/ray](https://github.com/ray-project/ray): 22047

	[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7674

	[kornia/kornia](https://github.com/kornia/kornia): 7103

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 5457

	[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5113

	[wandb/wandb](https://github.com/wandb/wandb): 4738

	[skorch-dev/skorch](https://github.com/skorch-dev/skorch): 4679

	[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2985


	### Package & Repository fork count

	This section shows the package and repository fork count, individually.

	Package \| Repository
	:-------------------------:\|:-------------------------:
	![accelerate-dependent package forks count](./accelerate-dependents/resolve/main/accelerate-dependent_package_forks_count.png) \| ![accelerate-dependent repository forks count](./accelerate-dependents/resolve/main/accelerate-dependent_repository_forks_count.png)

	There are 9 packages that have more than 200 forks.

	There are 16 repositories that have more than 200 forks.


	The top 10 in each category are the following:

	Package

	[huggingface/transformers](https://github.com/huggingface/transformers): 16157

	[fastai/fastai](https://github.com/fastai/fastai): 7297

	[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 975

	[kornia/kornia](https://github.com/kornia/kornia): 723

	[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 582

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 490

	[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 412

	[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 366

	[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 235

	[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 136

	Repository

	[huggingface/transformers](https://github.com/huggingface/transformers): 16157

	[google-research/google-research](https://github.com/google-research/google-research): 6139

	[ray-project/ray](https://github.com/ray-project/ray): 3876

	[roatienza/Deep-Learning-Experiments](https://github.com/roatienza/Deep-Learning-Experiments): 729

	[kornia/kornia](https://github.com/kornia/kornia): 723

	[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 582

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 490

	[nlp-with-transformers/notebooks](https://github.com/nlp-with-transformers/notebooks): 436

	[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 412

	[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 366