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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

63%

Top three share

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

Breadth

30 repos

Visible snapshot

6 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

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

Average size

271

Stars per repository

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

Back to organizationsCompare repositories
Updated: 2026-07-06(96d ago)GitHub API fallback30 repositories

Portfolio Shape

63%

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

Average Repository Size

271

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 6 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 63%

Organization pages work best when you separate portfolio breadth from flagship concentration. In paddlepaddle's case, the visible top three repositories account for about 63% 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/FastDeploy

High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle

Python3.7K7572 weeks ago
2paddlepaddle/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.

Python7212227 months ago
3paddlepaddle/PaddleYOLO

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

Python6671568 months ago
4paddlepaddle/Paddle3D

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

Python6421481 years ago
5paddlepaddle/FlyCV

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

C++594653 years ago
6paddlepaddle/PaddleRS

Awesome Remote Sensing Toolkit based on PaddlePaddle.

Python490981 years ago
7paddlepaddle/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 Notebook373542 years ago
8paddlepaddle/PaddleSportsPython129223 years ago
9paddlepaddle/PaddleMaterials

Open-source AI infrastructure for materials science

Python125451 months ago
10paddlepaddle/PaConvert

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

Python122981 months ago
11paddlepaddle/EasyDataPython113203 years ago
12paddlepaddle/GraphNet

A Large-Scale Computation Graph Database for Tensor Compiler Research

Python98484 months ago
13paddlepaddle/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.

Python83121 years ago
14paddlepaddle/PaddleDepthPython66112 years ago
15paddlepaddle/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.

Python64231 months ago
16paddlepaddle/PaDiff

Paddle Automatically Diff Precision Toolkits.

Python531610 months ago
17paddlepaddle/flash-attention

Fast and memory-efficient exact attention

Python22361 months ago
18paddlepaddle/PassNet15144 months ago
19paddlepaddle/PaddleSOT

A Bytecode level Implementation of Symbolic OpCode Translator For PaddlePaddle

Python15232 years ago
20paddlepaddle/PaddleAPEX

PaddleAPEX:Paddle Accuracy and Performance EXpansion pack

Python891 years ago
21paddlepaddle/AthenaPython5109 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++113 months ago
25paddlepaddle/Paddle-Metax114 months ago
26paddlepaddle/TST

Temporal-Space-Tensor

Python157 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/PaddleSecurityTest002 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.