We implement two modern meta learning algorithms to verify the convergence performance of our proposed generalization bounds in our NeurIPS2022 paper "Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms".

We use a platform with 2 NVIDIA GeForce GTX TITAN GPUs, each containing 12G memory.

## Enviroment
 - Python3.7.3
 - Pytorch 1.1.1
 - json

## Regression: S/Q training strategy


## For more implemantation details, please enter the subfolder and follow the instructions in the README file.

## References
This code is built on

* Meta Learning Theory
https://github.com/jiaxinchen666/meta-theory

