README.md

---
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