thinc

Why we included this project

Thinc comes from the team behind spaCy, and it takes a functional approach to deep learning: you compose models rather than subclass them. It's a lightweight layer that lets you build networks out of pieces written in PyTorch, TensorFlow, or MXNet, all in one graph. The type-checked API and integrated configuration system are a real plus when you're assembling custom NLP models, because errors surface early and hyperparameters live in clean, declarative trees. For developers who want a thin, readable wrapper over a familiar framework instead of a whole new ecosystem, Thinc is a practical choice.