Discover and read the best of Twitter Threads about #fastcore

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It's a very big day for me today, as I'm officially releasing version 0.2.3 for the @AdaptNLP project. With it comes a slew of changes, but what exactly?

A preview:
#nbdev, @fastdotai, #fastcore, and something called a ModelHub for both #FlairNLP and @huggingface, let's dive in:
First up, #nbdev:

Thanks to the lib2nbdev package (novetta.github.io/lib2nbdev), we've completely restructured the library to become test-driven development with nbdev, with integration tests and everything else that comes with the workflow 2/9
Next @fastdotai and #fastcore, I'm restructuring the internal inference API to rely on fastai's Learner and Callback system, to decouple our code and make it more modularized. With the fastai_minima package as well, only the basic Learner and Callback classes are being used: 3/9
Read 10 tweets
A list of the best (and partially biased) @fastdotai resources, in no particular order, with descriptions and how I utilize them 🙂

(A thread)
docs.fast.ai paired with their source notebooks in github.com/fastai/fastai/….

Looking from documentation to examples right away, and letting yourself get your hands dirty. The most common notebooks I go back to ...
nb50, DataBlock: docs.fast.ai/tutorial.datab…

Shows a variety of ways to create @fastdotai DataBlock and DataLoaders with the midlevel API

Callback (Core): docs.fast.ai/callback.core.…

Remembering the event trigger names, how they work, and quick links to other examples

...
Read 13 tweets

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