The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

A PyTorch Library for Meta-learning Research

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

A toy example of meta learning on mnist

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"