PyTorch模型部署建议方案

在这个存储库中，我将分享一些关于在生产环境中部署基于深度学习模型有用的注释和参考资料。

Convert PyTorch Models in Production:

Convert PyTorch Models to C++:

Deploy TensorFlow Models in Production:

Convert Keras Models in Production:

Deploy MXNet Models in Production:

Deploy Machine Learning Models with Go:

Huawei Deep Learning Framework:

General Deep Learning Compiler Stack:

Model Conversion between Deep Learning Frameworks:

Some Caffe2 Tutorials:

Some Useful Resources for Designing UI (Front-End Development):

Mobile & Embedded Devices Development:

Back-End Development Part:

GPU Management Libraries:

Speed-up & Scalabale Python Codes:

Other: