Topic Modelling for Humans
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Updated
Apr 24, 2024 - Python
Topic Modelling for Humans
100+ Chinese Word Vectors 上百种预训练中文词向量
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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.
A collection of notebooks for Natural Language Processing from NLP Town
Top2Vec learns jointly embedded topic, document and word vectors.
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Beautiful visualizations of how language differs among document types.
A curated list of pretrained sentence and word embedding models
Text preprocessing, representation and visualization from zero to hero.
A Modern C++ Data Sciences Toolkit
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Java interface for fastText
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
A fast, efficient universal vector embedding utility package.
Generating multiple choice questions from text using Machine Learning.
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