koaning/whatlies
A Python library for visualizing and understanding word embeddings from various NLP backends.
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Whatlies is a toolkit designed to help visualize and understand word embeddings and their operations. It provides simple tools to create interactive visualizations of embedding spaces and supports multiple language model backends including spaCy, fasttext, TensorFlow Hub, Hugging Face, and bpemb. The library also offers lightweight scikit-learn featurizer integration for these backends, making it useful for exploring and debugging embedding-based systems.
Frequently asked
- What is koaning/whatlies?
- A Python library for visualizing and understanding word embeddings from various NLP backends.
- Is whatlies open source?
- Yes — koaning/whatlies is open source, released under the Apache-2.0 license.
- What language is whatlies written in?
- koaning/whatlies is primarily written in Python.
- How popular is whatlies?
- koaning/whatlies has 480 stars on GitHub.
- Where can I find whatlies?
- koaning/whatlies is on GitHub at https://github.com/koaning/whatlies.