Closed lavanya-seetharaman closed 3 weeks ago
This issue has been open for over six months without activity. We are closing it to keep our project focused.
If it's still relevant, please comment so we can re-open it or create a new issue.
Thank you!
Is there an existing integration?
Use Case
PaddlePaddle. (PArallel Distributed Deep LEarning) is an independent, open-source deep learning platform launched by Baidu in 2016. It’s an easy-to-use, efficient, flexible, and scalable deep learning platform. Scientists and engineers originally developed it to apply deep learning to many products at Baidu, such as NLP, translation, and computer vision.
PaddlePaddle supports a wide range of neural network architectures and optimization algorithms. With PaddlePaddle, it is possible to leverage many CPUs/GPUs and machines to speed up training, achieving high throughput and performance via optimized communication.
PaddlePaddle offers 146 algorithms and has advanced more than 200 pretraining models, some of them with open-source codes to facilitate the rapid development of industrial applications. The platform also hosts toolkits for cutting-edge research purposes, like Paddle Quantum for quantum-computing models and Paddle Graph Learning for graph-learning models.
Python developers can easily get started with the framework by installing the module.
Motivation
Implementation
No response
Anything else?