Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia c...

Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and al...

XLearning是一款支持多种机器学习、深度学习框架的调度系统。基于Hadoop Yarn完成了对TensorFlow、MXNet、Caffe、Theano、PyTorch、Keras、XGBoost等常用框架的集成，同时具备良好的扩展性和兼容性。

不同于普通的移动端预测基于类 Caffe 的架构，Lite 架构最早的设计目标来源于 Paddle Server 和 Mobile 两种场景的要求，其中 Server 端需要有完善的图分析和优化能力，而 Mobile 端要求有轻量级部署的能力，两种场景共同的要求是高性能，多硬件支持等。