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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)

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

A Modern C++ Data Sciences Toolkit

Text preprocessing, representation and visualization from zero to hero.

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

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.

Fast State-of-the-Art Static Embeddings