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PaddlePaddle avatar

Paddle

Deep learning framework for training and deploying neural networks at scale

  • AI models and runtimes
  • Languages and frameworks
View on GitHub
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What it is

PaddlePaddle is a deep learning framework from Baidu with a Python API over a C++ core, covering model building, single-machine and distributed training, and inference deployment. It offers unified dynamic and static graphs, automatic parallelism from simple tensor partitioning hints, a neural network compiler, and higher-order differentiation for scientific computing workloads. Machine learning engineers and researchers use it to train large models and run them across a range of GPUs and domestic AI chips.

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Facts

Stars
24,130 GitHub stars.
24,130

Forks
6,018
Commits
58,198
Contributors
500+
Language
C++
License
Apache-2.0
Last commit
Oct 20, 2026
On GitHub since
August 2016
First release
August 2016
Platforms
macOS, Windows, Linux, library
Self-hostable
No
Tags
  • model-training
  • machine-learning
  • llm-inference
  • scientific-computing
  • gpu-computing

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsPaddlePadle, Baidu Open and Easy Deep Learning Platform for Enterprise, ResearchSep 12, 2016 · 4 points · 0 comments (opens Hacker News in a new tab)
  • Hacker NewsOpen and Easy-To-Use Deep Learning Platform from BaiduMar 1, 2017 · 3 points · 0 comments (opens Hacker News in a new tab)
  • Hacker NewsBaidu open-sources its deep learning softwareSep 1, 2016 · 2 points · 0 comments (opens Hacker News in a new tab)