🧮 Python package to construct word embeddings for small data using PMI and SVD
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Updated
Oct 27, 2026 - 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
Operations on word vectors - measure similarity using cosine similarity, solve word analogy problems, reduce gender bias in word embedding.
📶 NetBERT: a domain-specific BERT model for computer networking.
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.
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
Word2Vec Tensorflow implementation with word sense disambiguation.
Bias Reduction in Word Embeddings – A practical NLP project demonstrating how gender bias arises in word embeddings and how it can be measured and mitigated using vector space operations. Implements debiasing techniques on pre-trained GloVe embeddings.
Word2Vec implementation from scratch using Skip-Gram and Negative Sampling. Features interactive t-SNE/UMAP visualizations
This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.
Use of word embeddings and document similarity to solve word analogy problems
Word2Vec implementation from scratch using Skip-Gram and Negative Sampling. Features interactive t-SNE/UMAP visualizations
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