fursovia/geometric_embedding
"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation
This tool helps researchers and data scientists quickly transform lists of sentences into numerical representations. It takes your sentences and a pre-existing word embedding file (like GloVe), then outputs a numerical "fingerprint" for each sentence. This is useful for tasks like comparing document similarity or categorizing text without needing to train a complex model first.
No commits in the last 6 months.
Use this if you need to generate sentence embeddings efficiently for text analysis without extensive model training.
Not ideal if you require highly specialized embeddings trained on a very specific, niche dataset or domain.
Stars
19
Forks
3
Language
Python
License
—
Category
Last pushed
Dec 23, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/fursovia/geometric_embedding"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MilaNLProc/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings...
vinid/cade
Compass-aligned Distributional Embeddings. Align embeddings from different corpora
spcl/ncc
Neural Code Comprehension: A Learnable Representation of Code Semantics
criteo-research/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
vintasoftware/entity-embed
PyTorch library for transforming entities like companies, products, etc. into vectors to support...