README.md

---
license: apache-2.0
pretty_name: accelerate metrics
tags:
- github-stars
---

# accelerate metrics

This dataset contains metrics about the huggingface/accelerate package.

## 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 15 repositories that have more than 1000 stars.


The top 10 in each category are the following:

*Package*

[huggingface/transformers](https://github.com/huggingface/transformers): 69651

[fastai/fastai](https://github.com/fastai/fastai): 22719

[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7526

[kornia/kornia](https://github.com/kornia/kornia): 7031

[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 6495

[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5020

[huggingface/diffusers](https://github.com/huggingface/diffusers): 4633

[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2982

[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 1544

[abhishekkrthakur/tez](https://github.com/abhishekkrthakur/tez): 1099

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 69651

[google-research/google-research](https://github.com/google-research/google-research): 24875

[ray-project/ray](https://github.com/ray-project/ray): 21869

[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 7526

[kornia/kornia](https://github.com/kornia/kornia): 7031

[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 5020

[wandb/wandb](https://github.com/wandb/wandb): 4693

[skorch-dev/skorch](https://github.com/skorch-dev/skorch): 4662

[huggingface/diffusers](https://github.com/huggingface/diffusers): 4633

[catalyst-team/catalyst](https://github.com/catalyst-team/catalyst): 2982


### 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): 16026

[fastai/fastai](https://github.com/fastai/fastai): 7288

[facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d): 966

[kornia/kornia](https://github.com/kornia/kornia): 706

[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 560

[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 392

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

[huggingface/diffusers](https://github.com/huggingface/diffusers): 363

[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch): 219

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

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 16026

[google-research/google-research](https://github.com/google-research/google-research): 6080

[ray-project/ray](https://github.com/ray-project/ray): 3847

[roatienza/Deep-Learning-Experiments](https://github.com/roatienza/Deep-Learning-Experiments): 728

[kornia/kornia](https://github.com/kornia/kornia): 706

[lucidrains/DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch): 560

[nlp-with-transformers/notebooks](https://github.com/nlp-with-transformers/notebooks): 426

[lucidrains/imagen-pytorch](https://github.com/lucidrains/imagen-pytorch): 392

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

[huggingface/diffusers](https://github.com/huggingface/diffusers): 363