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Add more tutorials #122

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seba-1511 opened this issue Mar 3, 2020 · 2 comments · Fixed by #133 or #312
Open

Add more tutorials #122

seba-1511 opened this issue Mar 3, 2020 · 2 comments · Fixed by #133 or #312
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good first issue Good for newcomers help wanted Extra attention is needed

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@seba-1511
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As suggested on Reddit, it would be nice to have more tutorials.

A simple idea is to base them on our existing examples. The tutorial could explain how each implemented method works and contrast it with other meta-learning methods. In doing so, it could also cover functionalities that learn2learn provides.

@seba-1511 seba-1511 added help wanted Extra attention is needed good first issue Good for newcomers labels Mar 3, 2020
@ewinapun ewinapun mentioned this issue Mar 30, 2020
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@seba-1511 seba-1511 reopened this Mar 30, 2020
@jspisak
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jspisak commented Jul 23, 2020

I think even making the existing tutorials more digestible would really help. For example, adding comments in the code, putting them into Jupyter NBs and adding some level of prose in the notebooks (.md cells) would make it an easier onboard for users.

@atseng17
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Are you guys considering adding an example for cifar100 on maml, it would be great as a lot of custom datasets has structures that could be directly applied with cifarfs.py.

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good first issue Good for newcomers help wanted Extra attention is needed
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