Incredibly proud to release this: a new deep learning library, incorporating lessons we've learned from @spacy_io, https://prodi.gy and @tiangolo's FastAPI.
Even if you're not looking for new tools, there's lots you might find interesting conceptually. Quick thread: 1/5https://twitter.com/explosion_ai/status/1222265907965321216 …
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Speaking of functional programming...The conceptual model behind Thinc is also something that you might find interesting in itself. It's a different way to program backprop, using callbacks instead of a tape. 4/5https://thinc.ai/docs/concept
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Finally, Thinc also offers some extremely practical features. Have a look at the config system, but also the fact that you can easily wrap other frameworks. Thinc is designed to complement other frameworks, not replace them. 5/5https://thinc.ai/docs/usage-config …
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Static type checking
Mix
Integrated config system
Extensible backends incl. JAX (experimental)
Variable-length sequences & more