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Data sourced from GitHub API

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  3. paddlepaddle
paddlepaddleOrganization

paddlepaddle

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

Portfolio concentration

46%

Top three share

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

Breadth

30 repos

Visible snapshot

8 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (21), C++ (4), Unknown (3)

Average size

148

Stars per repository

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

Back to organizationsCompare repositories
Updated: 2026-07-06(51d ago)GitHub API fallback30 repositories

Portfolio Shape

46%

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

Average Repository Size

148

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 8 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 46%

Organization pages work best when you separate portfolio breadth from flagship concentration. In paddlepaddle's case, the visible top three repositories account for about 46% 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 Python (21), C++ (4), Unknown (3). 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

#RepositoryLanguageStars🍴 ForksUpdated
1paddlepaddle/PaddleMIX

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

Python7232235 months ago
2paddlepaddle/PaddleYOLO

🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

Python6681557 months ago
3paddlepaddle/Paddle3D

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

Python6421491 years ago
4paddlepaddle/FlyCV

FlyCV is a high-performance library for processing computer visual tasks.

C++595653 years ago
5paddlepaddle/PaddleRS

Awesome Remote Sensing Toolkit based on PaddlePaddle.

Python487991 years ago
6paddlepaddle/ERNIE-SDK

ERNIE Bot Agent is a Large Language Model (LLM) Agent Framework, powered by the advanced capabilities of ERNIE Bot and the platform resources of Baidu AI Studio.

Jupyter Notebook375542 years ago
7paddlepaddle/PaddleSportsPython128223 years ago
8paddlepaddle/PaConvert

PaddlePaddle Code Convert Toolkit. 『飞桨』深度学习代码转换工具

Python125971 weeks ago
9paddlepaddle/PaddleMaterials

Open-source AI infrastructure for materials science

Python118421 weeks ago
10paddlepaddle/EasyDataPython113203 years ago
11paddlepaddle/GraphNet

A Large-Scale Computation Graph Database for Tensor Compiler Research

Python96493 months ago
12paddlepaddle/PaddleHub

400+ AI Models: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal. Easy to Use: 3 lines of code to predict 400+ AI models.

Python80121 years ago
13paddlepaddle/PaddleDepthPython66112 years ago
14paddlepaddle/PaddleCFD

PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery in the field of fluid mechanics.

Python6423Yesterday
15paddlepaddle/PaDiff

Paddle Automatically Diff Precision Toolkits.

Python53168 months ago
16paddlepaddle/PaddleFleet

Core Functional Library for Distributed Training

Python24108Today
17paddlepaddle/flash-attention

Fast and memory-efficient exact attention

Python21362 days ago
18paddlepaddle/PaddleSOT

A Bytecode level Implementation of Symbolic OpCode Translator For PaddlePaddle

Python15232 years ago
19paddlepaddle/PassNet14142 months ago
20paddlepaddle/PaddleAPEX

PaddleAPEX:Paddle Accuracy and Performance EXpansion pack

Python891 years ago
21paddlepaddle/AthenaPython5107 months ago
22paddlepaddle/modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Python202 years ago
23paddlepaddle/warp-transducer

A fast parallel implementation of RNN Transducer.

C++233 years ago
24paddlepaddle/paddle_musaC++111 months ago
25paddlepaddle/Paddle-Metax123 months ago
26paddlepaddle/TST

Temporal-Space-Tensor

Python156 months ago
27paddlepaddle/Paddle-iluvatar

PaddlePaddle for Iluvatar GPU

Cuda17Today
28paddlepaddle/flux

A fast communication-overlapping library for tensor parallelism on GPUs.

C++131 years ago
29paddlepaddle/modulus-sym

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

Python121 years ago
30paddlepaddle/PaddleSecurityTest001 years ago

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.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

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

How to read this organization 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.