GitStar

Dive into Deep Learning (D2L.ai)Organization

Dive into Deep Learning (D2L.ai)

@d2l-ai • Open source projects from d2l-ai. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

82%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

0 repositories updated in the last 90 days.

Leading language

Jupyter Notebook

Portfolio mix

Jupyter Notebook (26), Python (3), Unknown (1)

Average size

75

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Updated: 2023-08-18(985d ago)GitHub API fallback30 repositories

Portfolio Shape

82%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

75

stars per repository in this same snapshot.

Current Mix

Jupyter Notebook

is the most common language here, with 0 repositories updated in the last 90 days.

Why this rank

This organization stands out because its public portfolio is relatively balanced across 30 repositories.

Balanced portfolio across 30 reposTop 3 share 82%

Organization pages work best when you separate portfolio breadth from flagship concentration. In Dive into Deep Learning (D2L.ai)'s case, the visible top three repositories account for about 82% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Jupyter Notebook (26), Python (3), Unknown (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguage⭐ Stars
1d2l-ai/d2l-zh-pytorch-slides

Pytorch版代码幻灯片

Jupyter Notebook793
2d2l-ai/courses-zh-v2

中文版 v2 课程

Jupyter Notebook780
3d2l-ai/d2l-pytorch-slides

Automatically Generated Notebook Slides

Jupyter Notebook258
4d2l-ai/d2l-pytorch-colab

Automatically Generated Notebooks for Colab

Jupyter Notebook75
5d2l-ai/d2l-zh-pytorch-colab

Automatically Generated d2l-zh PyTorch Notebooks for Colab

Jupyter Notebook64
6d2l-ai/d2l-pt

Livro Interativo de Deep Learning com Multiplos Frameworks, Conceitos Matemáticos e Discussões

Python63
7d2l-ai/d2l-en-colab

Automatically Generated Notebooks for Colab

Jupyter Notebook51
8d2l-ai/d2l-tensorflow-colab

Automatically Generated Notebooks for Colab

Jupyter Notebook40
9d2l-ai/d2l-pytorch-sagemaker

Automatically Generated Notebook for Sagemaker

Jupyter Notebook33
10d2l-ai/d2l-pytorch-sagemaker-studio-labJupyter Notebook20
11d2l-ai/d2l-zh-colab

Automatically Generated d2l-zh Notebooks for Colab

Jupyter Notebook19
12d2l-ai/d2l-zh-tensorflow-colab

Automatically Generated d2l-zh TensorFlow Notebooks for Colab

Jupyter Notebook13
13d2l-ai/d2l-zh-pytorch-sagemaker

Automatically Generated d2l-zh PyTorch Notebooks for SageMaker

Jupyter Notebook9
14d2l-ai/d2l-tensorflow-sagemakerJupyter Notebook6
15d2l-ai/d8Python4
16d2l-ai/d2l-pytorch-slides-classic

Automatically Generated Notebook Slides for https://classic.d2l.ai/

Jupyter Notebook3
17d2l-ai/d2l-de

German version of d2l-en

Python3
18d2l-ai/d2l-jax-colabJupyter Notebook2
19d2l-ai/d2l-zh-paddle-colab

Automatically Generated d2l-zh PyTorch Notebooks for Colab

Jupyter Notebook2
20d2l-ai/d2l-zh-tensorflow-sagemaker

Automatically Generated d2l-zh TensorFlow Notebooks for SageMaker

Jupyter Notebook2
21d2l-ai/d2l-tensorflow-colab-classic

Automatically Generated Colab Notebooks for https://classic.d2l.ai/

Jupyter Notebook1
22d2l-ai/d2l-pytorch-colab-classic

Automatically Generated Colab Notebooks for https://classic.d2l.ai/

Jupyter Notebook1
23d2l-ai/d2l-zh-paddle-sagemaker

Automatically Generated d2l-zh TensorFlow Notebooks for SageMaker

Jupyter Notebook1
24d2l-ai/d2l-zh-sagemaker

Automatically Generated d2l-zh Notebooks for SageMaker

Jupyter Notebook1
25d2l-ai/d2l-jax-sagemakerJupyter Notebook0
26d2l-ai/d2l-tensorflow-sagemaker-classic

Automatically Generated Sagemaker Notebooks for https://classic.d2l.ai/

Jupyter Notebook0
27d2l-ai/d2l-pytorch-sagemaker-classic

Automatically Generated Sagemaker Notebooks for https://classic.d2l.ai/

Jupyter Notebook0
28d2l-ai/d2l-en-sagemaker-classic

Automatically Generated Sagemaker Notebooks for https://classic.d2l.ai/

Jupyter Notebook0
29d2l-ai/d2l-en-colab-classic

Automatically Generated Colab Notebooks for https://classic.d2l.ai/

Jupyter Notebook0
30d2l-ai/aws-hugo-them0

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.

How to Read This Snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.