🧮 Python package to construct word embeddings for small data using PMI and SVD
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Updated
Oct 25, 2020 - Python
🧮 Python package to construct word embeddings for small data using PMI and SVD
Data and code for "Understanding Linearity of Cross-Lingual Word Embedding Mappings" (TMLR 2022)
Finding word analogies using GLoVe word embeddings
📶 NetBERT: a domain-specific BERT model for computer networking.
Operations on word vectors - measure similarity using cosine similarity, solve word analogy problems, reduce gender bias in word embedding.
An implementation of the GloVe model using 100% rust
An interactive Streamlit web app for exploring and visualizing word embeddings using pre-trained models like GloVe, Word2Vec, and FastText.
This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
Word2Vec implementation from scratch using Skip-Gram and Negative Sampling. Features interactive t-SNE/UMAP visualizations
Word2Vec Tensorflow implementation with word sense disambiguation.
Word2Vec implementation from scratch using Skip-Gram and Negative Sampling. Features interactive t-SNE/UMAP visualizations
Use of word embeddings and document similarity to solve word analogy problems
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