japgarrido/Word2Vec-Embedding-Analysis

This project focuses on implementing and analyzing word embeddings using the Continuous Bag of Words (CBOW) and Skip-gram models.

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 1 / 25

Maturity 9 / 25

Community 0 / 25

Stars

Forks

—

Language

Python

License

GPL-3.0

Category

Last pushed

Jun 08, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/japgarrido/Word2Vec-Embedding-Analysis"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

shibing624/text2vec

text2vec, text to vector....

ddangelov/Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

predict-idlab/pyRDF2Vec

🐍 Python Implementation and Extension of RDF2Vec

IITH-Compilers/IR2Vec

Implementation of IR2Vec, LLVM IR Based Scalable Program Embeddings

IntuitionEngineeringTeam/chars2vec

Character-based word embeddings model based on RNN for handling real world texts