open-source-metrics/accelerate-dependents

---
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
:-------------------------:|:-------------------------:
 | 

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
:-------------------------:|:-------------------------:
 | 

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

原始信息汇总

数据集概述

基本信息

• 许可证: Apache-2.0
• 数据集名称: accelerate metrics
• 标签: github-stars

数据集特征

• 名称 (dtype: string)
• stars (dtype: int64)
• forks (dtype: int64)

数据集分割

• package
  • 字节数: 4874
  • 示例数: 116
• repository
  • 字节数: 162350
  • 示例数: 3488

数据集大小

• 下载大小: 100048
• 数据集大小: 167224

数据集内容

• 包含的仓库数量: 727
• 包含的包数量: 37

星标统计

• 超过1000星的包数量: 10
• 超过1000星的仓库数量: 16
• 超过200叉的包数量: 9
• 超过200叉的仓库数量: 16

顶级包和仓库

• 包
  • huggingface/transformers: 70480 stars
  • fastai/fastai: 22774 stars
  • lucidrains/DALLE2-pytorch: 7674 stars
  • kornia/kornia: 7103 stars
  • facebookresearch/pytorch3d: 6548 stars
• 仓库
  • huggingface/transformers: 70480 stars
  • google-research/google-research: 25092 stars
  • ray-project/ray: 22047 stars
  • lucidrains/DALLE2-pytorch: 7674 stars
  • kornia/kornia: 7103 stars