Topic Modelling for Humans
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Updated
Sep 1, 2024 - Python
Topic Modelling for Humans
A very simple framework for state-of-the-art Natural Language Processing (NLP)
100 Chinese Word Vectors 上百种预训练中文词向量
Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Top2Vec learns jointly embedded topic, document and word vectors.
Text preprocessing, representation and visualization from zero to hero.
Beautiful visualizations of how language differs among document types.
A curated list of pretrained sentence and word embedding models
A fast, efficient universal vector embedding utility package.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
A collection of notebooks for Natural Language Processing from NLP Town
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
A Modern C Data Sciences Toolkit
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Generating multiple choice questions from text using Machine Learning.
Word Embeddings in Go!
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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