Hi all, excited to share with you aim-spaCy! 🎉
It's an Aim plugin for spaCy that automatically logs the spaCy metrics and displaCy visualizations as images.
Both on training and evaluation.
Aim has a powerful Images Explorer that allows to compare 1000s of tracked images in-depth.
aim-spaCy will allow to seamlessly compare 1000s of displaCy visualizations at once with a few clicks. 🙌
A use-case example
In the gif below, we have tracked 100+ displaCy Dependency Tree and NER visualizations for one spaCy inference run.
With 2 clicks we can compare two visualizations of the same sentence at each step:
- group by
record.step - stack by the last grouping param (the step)
- [Bonus] you can compare across 100s of runs too
Basically this will allow to find where and why (thanks to displaCy magic) models misbehave / underperform.
Other perks
- Free, self-hosted and open-source
- Easy to embed in your jupyter notebook
- Compare 1000s of high-dimensional experiments (100s of metrics, images, text tracked per experiment)
web: aimstack.io/spacy
code: github.com/aimhubio/aim-spacy
Would love your feedback on aim-spaCy. What else would you like us to add to the project?
Top comments (0)