Summary
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice https://github.com/PaddlePaddle/Paddle
Open source software by Baidu
FOUR LEADING TECHNOLOGIES
Agile Framework for Industrial Development of Deep Neural Networks
The PaddlePaddle deep learning framework facilitates the development while lowering the technical burden, through leveraging a programmable scheme to architect the neural networks. It supports both declarative programming and imperative programming with both development flexibility and high runtime performance preserved. The neural architectures could be automatically designed by algorithms with better performance than the ones designed by human experts.
Support Ultra-Large-Scale Training of Deep Neural Networks
PaddlePaddle has made breakthroughs in ultra-large-scale deep neural networks training. It launched the world’s first large-scale open-source training platform that supports the training of deep networks with 100 billion features and trillions of parameters using data sources distributed over hundreds of nodes. PaddlePaddle overcomes the online deep learning challenges for ultra-large-scale deep learning models, and further achieved real-time model updating with more than 1 trillion parameters. Click here to learn more
High-Performance Inference Engines for Comprehensive Deployment Enviroments
PaddlePaddle is not only compatible with models trained in 3rd party open-source frameworks ,
but also offers complete inference products for various production scenarios. Our inference product line includes
- Paddle Inference: Native inference library for high-performance server and cloud inference;
- Paddle Serving(deployment service): A service-oriented framework suitable for distributed and pipeline productions;
- Paddle Lite: Ultra-Lightweight inference engine for mobile and IoT environments;
- Paddle.js: A frontend inference engine for browser and mini-apps. Furthermore, by great amounts of optimization with leading hardware in each scenario, Paddle inference engines outperform most of the other mainstream frameworks.
Industry-Oriented Models and Libraries with Open Source Repositories
PaddlePaddle includes and maintains more than 100 mainstream models that have been practiced and polished for a long time in the industry. Some of these models have won major prizes from key international competitions. In the meanwhile, PaddlePaddle has further more than 200 pre-training models (some of them with source codes) to facilitate the rapid development of industrial applications. Click here to learn more Paddle models
Tool Kits and Tools
Paddle OCR
python tool to use do OCR, the parameters description is here. Used it app results for the english parsing were very good and speed as well. Tested with Django API, the resposne time was 0.5 seconds for english image parsing.