There are 1 repository under word-vectors topic.
👩🏫 Advanced NLP with spaCy: A free online course
Basic Utilities for PyTorch Natural Language Processing (NLP)
Multilingual word vectors in 78 languages
👑 spaCy building blocks and visualizers for Streamlit apps
Simple downloader for pre-trained word vectors
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Yet another Python binding for fastText
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Rates the quality of a candidate based on his/her resume using unsupervised approaches
Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.
A little game powered by word vectors
semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475
A chatbot developed to help FIB students. It uses NLP + Machine learning techniques such as sentence classification, or entity recognition (NER), along with a Deep Learning dialogue management model.
Retraining embedding models to incorporate emotional constraints.
Word2Vec Word Vectors trained on a North Korean Corpus / 조선어 (북한어) 단어 임베딩
lda2vec pytorch implementation
'dictvectoR' measures the similarity between a concept dictionary and documents, using fastText word vectors. Implements the "Distributed-Dictionary-Representation" (Garten et al. 2018) method in R.
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
Persian Word Embedding using FastText, BERT, GPT and GloVe | تعبیه کلمات فارسی با روش های مختلف
This repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Natural Language Processing Specialization unless specified otherwise.
Course materials for "Meaningful Text Analysis with Word Embeddings," taught at the Digital Humanities Summer Institute, June 2021.
Word representation for Ukrainian with fastText
spaCy-compatible tokenizers and word vectors for medical text
📙 End-to-end NLP and data visualization pipeline of the text from a machine learning textbook.