This directory includes all the packages needed to create data. These scripts can be used to generate the data for experiments. Before running the scripts to generate data, the CODENET dataset should be downloaded and placed inside the data_maker directory.
This directory contains an implementation of MAML (Model-Agnostic Meta-Learning). To run this code, one should first create the required datasets. Then, the main.py file in the MAML directory should be executed with the necessary parameters.