A very simple framework for state-of-the-art Natural Language Processing (NLP)
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Text preprocessing, representation and visualization from zero to hero.
Top2Vec learns jointly embedded topic, document and word vectors.
A curated list of pretrained sentence and word embedding models
Beautiful visualizations of how language differs among document types.
Open Source Free ATS Tool to compare Resumes with Job Descriptions and create a score to rank them.
A fast, efficient universal vector embedding utility package.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
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
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Generating multiple choice questions from text using Machine Learning.
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