Firstly, thank you for your interest in contributing to our tutorials. We use Jekyll + Markdown for our documentation. To contribute, simply make a pull request (PR) with changes in the Markdown files ...
This repo contains code accompaning the paper, Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (Finn et al., ICML 2017). It includes code for running the few-shot supervised learning ...
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