This library is super new, and I cannot guarantee long-term maintenance commitment. If you need something faster and highly optimized, you should use ggml or a similar alternative.

Mint is a single-file header only library for tensor manipulation. It also enables importing and executing some of neural net models. Mint aims to be dependency-free (except for C standard lib) and easily distributed. However, it is possible to integrate with the other libraries such as BLAS if needed.

Some of notable features:

• NumPy style broadcasting
• BLAS backend (optional)
• OpenMP acceleration (when linked)

Tested models

Torchvision Models

The torchvision models are dumped into ONNX, then converted to Mint model format for inference.

• AlexNet
• VGG-19
• ResNet-18

Fast neural style transfer

All models here with opset 8 work well