Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
Read moreflair is a very simple framework for state-of-the-art Natural Language Processing (NLP). The project is based on PyTorch 0.4+ and Python 3.6+.
Read morePyTorch-NLP is a library of neural network layers, text processing modules and datasets designed to accelerate NLP research.
Read moreSnips NLU is a Natural Language Understanding python library that allows to parse sentences written in natural language.
Read morePyTorch-Transformers is a library of state-of-the-art pre-trained models for Natural Language Processing (NLP).
Read moreNLP Architect is an open source Python library for exploring state-of-the-art deep learning topologies and techniques for NLP and NLU.
Read moreAllenNLP is an Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models.
Read moreGluonNLP is a deep learning framework that enables easy text preprocessing, datasets loading and neural models. Free and open source software.
Read moretextacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library.
Read moreNatural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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