A suite of tools for text preparation, vectorization and processing for deep learning with Keras.
MIT License
Signs is a set of tools for text preparation, vectorization and processing and radically simplifies raw text to Keras embeddings workflow. Signs unifies Gensim and SpaCy vectorization backends for Keras users and provides an easy-to-use vectorization solution to manage otherwise complex workflows. Signs provides a meaningful replacement for dozens of lines of redundant code that are currently required to transform raw text into a a Keras Embeds layer.
get source for the below example.
Several example notebooks with common workflows can be found here.
Stable version:
pip install signs
Daily development version:
pip install git+https://github.com/autonomio/signs.git@daily-dev
If you want ask a "how can I use Signs to..." question, the right place is StackOverflow.
If you found a bug or want to suggest a feature, check the issues or create a new issue.