soyml: framework-independent ML model inference

soy - a prefix indicating that this is a subpar substitute for the real thing :)

machine learning models are often trained in one framework (e.g. pytorch) and deployed in another. there are many different inference-focused frameworks, but they all have different APIs. this makes it difficult to deploy models in a framework-agnostic way. soyml aims to solve this problem by providing a simple, framework-agnostic API for inference, abstracting away the details of the underlying framework, and just letting you turn inputs to outputs and nothing else.

currently supported backends:

• pytorch (torch)
• onnxruntime (ort)
• wonnx (wonnx)
• ncnn (ncnn)