Tag: natural language processing

flair 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+.

PyTorch-NLP is a library of neural network layers, text processing modules and datasets designed to accelerate NLP research.

Snips NLU is a Natural Language Understanding python library that allows to parse sentences written in natural language.

PyTorch-Transformers is a library of state-of-the-art pre-trained models for Natural Language Processing (NLP).

NLP Architect is an open source Python library for exploring state-of-the-art deep learning topologies and techniques for NLP and NLU.

AllenNLP is an Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models.

GluonNLP is a deep learning framework that enables easy text preprocessing, datasets loading and neural models. Free and open source software.

textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library.

NLTK, the Natural Language Toolkit, is a suite of open source Python modules, data sets and tutorials supporting research and development.

spaCy is an open-source software library for advanced Natural Language Processing, written in the programming languages Python and Cython.

nlpnet is a Python library for NLP tasks based on neural networks. It performs part-of-speech tagging and semantic role labeling.

TextBlob is an open source, Python (2 and 3) library for processing textual data. It provides a consistent API.

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.