robert-mcdermott/embeddings_plot
A command line utility to create a plots of word embeddings
Supports both 2D and 3D visualization with selectable dimensionality reduction algorithms (PCA, t-SNE, UMAP) and K-means clustering to group semantically similar words. Accepts Word2Vec format embeddings—either pretrained FastText models or custom-trained models—and generates interactive HTML scatter plots using Plotly with customizable themes and labels.
No commits in the last 6 months. Available on PyPI.
Stars
9
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 14, 2023
Monthly downloads
34
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/robert-mcdermott/embeddings_plot"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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