
# 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

    
license:apache-2.0 github-stars region:us
{"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}}
TAGS
#license-apache-2.0 #github-stars #region-us 

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
tab on GitHub.


### Package & Repository star count


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



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: 70480


fastai/fastai: 22774


lucidrains/DALLE2-pytorch: 7674


kornia/kornia: 7103


facebookresearch/pytorch3d: 6548


huggingface/diffusers: 5457


lucidrains/imagen-pytorch: 5113


catalyst-team/catalyst: 2985


lucidrains/denoising-diffusion-pytorch: 1727


abhishekkrthakur/tez: 1101


*Repository*


huggingface/transformers: 70480


google-research/google-research: 25092


ray-project/ray: 22047


lucidrains/DALLE2-pytorch: 7674


kornia/kornia: 7103


huggingface/diffusers: 5457


lucidrains/imagen-pytorch: 5113


wandb/wandb: 4738


skorch-dev/skorch: 4679


catalyst-team/catalyst: 2985


### Package & Repository fork count


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



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: 16157


fastai/fastai: 7297


facebookresearch/pytorch3d: 975


kornia/kornia: 723


lucidrains/DALLE2-pytorch: 582


huggingface/diffusers: 490


lucidrains/imagen-pytorch: 412


catalyst-team/catalyst: 366


lucidrains/denoising-diffusion-pytorch: 235


abhishekkrthakur/tez: 136


*Repository*


huggingface/transformers: 16157


google-research/google-research: 6139


ray-project/ray: 3876


roatienza/Deep-Learning-Experiments: 729


kornia/kornia: 723


lucidrains/DALLE2-pytorch: 582


huggingface/diffusers: 490


nlp-with-transformers/notebooks: 436


lucidrains/imagen-pytorch: 412


catalyst-team/catalyst: 366



### Package & Repository star count


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



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: 70480


fastai/fastai: 22774


lucidrains/DALLE2-pytorch: 7674


kornia/kornia: 7103


facebookresearch/pytorch3d: 6548


huggingface/diffusers: 5457


lucidrains/imagen-pytorch: 5113


catalyst-team/catalyst: 2985


lucidrains/denoising-diffusion-pytorch: 1727


abhishekkrthakur/tez: 1101


*Repository*


huggingface/transformers: 70480


google-research/google-research: 25092


ray-project/ray: 22047


lucidrains/DALLE2-pytorch: 7674


kornia/kornia: 7103


huggingface/diffusers: 5457


lucidrains/imagen-pytorch: 5113


wandb/wandb: 4738


skorch-dev/skorch: 4679


catalyst-team/catalyst: 2985 ### Package & Repository fork count


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



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: 16157


fastai/fastai: 7297


facebookresearch/pytorch3d: 975


kornia/kornia: 723


lucidrains/DALLE2-pytorch: 582


huggingface/diffusers: 490


lucidrains/imagen-pytorch: 412


catalyst-team/catalyst: 366


lucidrains/denoising-diffusion-pytorch: 235


abhishekkrthakur/tez: 136


*Repository*


huggingface/transformers: 16157


google-research/google-research: 6139


ray-project/ray: 3876


roatienza/Deep-Learning-Experiments: 729


kornia/kornia: 723


lucidrains/DALLE2-pytorch: 582


huggingface/diffusers: 490


nlp-with-transformers/notebooks: 436


lucidrains/imagen-pytorch: 412


catalyst-team/catalyst: 366
TAGS
#license-apache-2.0 #github-stars #region-us 
 ### Package & Repository star count


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



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: 70480


fastai/fastai: 22774


lucidrains/DALLE2-pytorch: 7674


kornia/kornia: 7103


facebookresearch/pytorch3d: 6548


huggingface/diffusers: 5457


lucidrains/imagen-pytorch: 5113


catalyst-team/catalyst: 2985


lucidrains/denoising-diffusion-pytorch: 1727


abhishekkrthakur/tez: 1101


*Repository*


huggingface/transformers: 70480


google-research/google-research: 25092


ray-project/ray: 22047


lucidrains/DALLE2-pytorch: 7674


kornia/kornia: 7103


huggingface/diffusers: 5457


lucidrains/imagen-pytorch: 5113


wandb/wandb: 4738


skorch-dev/skorch: 4679


catalyst-team/catalyst: 2985 ### Package & Repository fork count


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



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: 16157


fastai/fastai: 7297


facebookresearch/pytorch3d: 975


kornia/kornia: 723


lucidrains/DALLE2-pytorch: 582


huggingface/diffusers: 490


lucidrains/imagen-pytorch: 412


catalyst-team/catalyst: 366


lucidrains/denoising-diffusion-pytorch: 235


abhishekkrthakur/tez: 136


*Repository*


huggingface/transformers: 16157


google-research/google-research: 6139


ray-project/ray: 3876


roatienza/Deep-Learning-Experiments: 729


kornia/kornia: 723


lucidrains/DALLE2-pytorch: 582


huggingface/diffusers: 490


nlp-with-transformers/notebooks: 436


lucidrains/imagen-pytorch: 412


catalyst-team/catalyst: 366