Few shot learning for image classification

I am totally new to the concept of few shot learnig. I am looking for a tested and well-designed tutorial that can walk me through the concept (e.g., similar to transfer learning tutorial). Could you please share a link with me?

I found this: https://github.com/orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch

hi, were you able to find some tutorials ?
I have to implement few shot learning for image classification and I have absolutely no idea how to start.
Thanks