Paddle and Paddle-Lite

Paddle-Lite is the inference engine component of the Paddle ecosystem, optimized for deploying models trained with the main Paddle framework to mobile and edge devices, making them complementary tools used together in a production pipeline.

Paddle
87
Verified
Paddle-Lite
53
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 23,752
Forks: 5,974
Downloads:
Commits (30d): 198
Language: C++
License: Apache-2.0
Stars: 7,233
Forks: 1,627
Downloads:
Commits (30d): 0
Language: C++
License: Apache-2.0
No risk flags
Stale 6m No Package No Dependents

About Paddle

PaddlePaddle/Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

This is a comprehensive platform for building and deploying machine learning models, especially deep learning. It helps data scientists and AI engineers transform raw data into trained AI models and then deploy those models into real-world applications. It supports a wide range of industrial applications, making AI solutions practical for businesses.

Machine Learning Engineering Deep Learning AI Development Model Deployment Scientific Computing

About Paddle-Lite

PaddlePaddle/Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)

This tool helps developers deploy deep learning models to a wide range of mobile, embedded, and edge devices. It takes models trained in PaddlePaddle (or converted from other frameworks) and optimizes them for speed and efficiency on target hardware. The output is a highly optimized, lightweight model ready for high-performance inference on various end-user devices. This is for software engineers and machine learning engineers who need to deploy AI models in resource-constrained environments.

mobile-AI edge-computing deep-learning-deployment embedded-systems model-optimization

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