PaddlePaddle

What is PaddlePaddle?

PaddlePaddle is a parallel distributed deep learning framework described as efficient and extensible. It is developed by Baidu and is open source.

Key capabilities of PaddlePaddle

• Distributed training: Parallel distributed deep learning.
• ERNIE: Pretrained language models in the ecosystem.
• PaddleHub: Tool for pretrained model access.
• PARL: Reinforcement learning toolkit.
• AutoDL: Automated deep learning tool.
• AI Studio: Learning and development platform.
• EasyDL and EasyEdge: Model building and edge deployment platforms.

How PaddlePaddle works

Developers write models in Python with the framework and train them on single machines or distributed clusters. The ecosystem adds tools such as PaddleHub and PARL and platforms such as EasyDL for model building and EasyEdge for edge deployment. Details on specific modules are in the vendor documentation.

Who uses PaddlePaddle?

PaddlePaddle is used by machine learning engineers and researchers, especially in China. Its platforms target both developers and teams who want lower-code model building.

PaddlePaddle pricing

PaddlePaddle is free and open source. Costs come from the compute you run it on, and some Baidu platforms may have their own terms.

PaddlePaddle alternatives

Alternatives include TensorFlow, which is Google open source ML platform, PyTorch, which is a widely used deep learning framework, and MindSpore, which is Huawei deep learning framework.