GluonNLP is a deep learning framework that enables easy text preprocessing, datasets loading and neural models building to help you speed up your Natural Language Processing (NLP) research.
GluonNLP relies on the recent version of MXNet.
The toolkit is designed for engineers, researchers, and students to fast prototype research ideas and products based on these models.
This toolkit offers five main features:
- Training scripts to reproduce SOTA results reported in research papers.
- Pre-trained models for common NLP tasks.
- Carefully designed, APIs that greatly reduce the implementation complexity.
- High-level APIs: gluonnlp.data, gluonnlp.mode, gluonnlp.embedding.
- Low-level APIs: gluonnlp.data.batchify, gluonnlp.model.StandardRNN.
- Tutorials to help get started on new NLP tasks.
- Community support.
This toolkit assumes that users have basic knowledge about deep learning and NLP.
Website: nlp.gluon.ai
Support: Crash Course, Tutorials, GitHub Code Repository
Developer: GluonNLP Team
License: Apache License 2.0
GluonNLP is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Python Natural Language Processing Tools | |
|---|---|
| PyTorch-Transformers | Library of state-of-the-art pre-trained models for NLP |
| NLTK | Natural Language Toolkit |
| spaCy | Industrial strength natural language processing |
| scikit-learn | Machine learning library |
| Haystack | AI orchestration framework |
| Gensim | Vector space modeling and topic modeling toolkit |
| flair | Simple framework for state-of-the-art NLP |
| TextBlob | Python (2 and 3) library for processing textual data |
| doccano | Data labelling and text annotation platform |
| BERTopic | Topic modeling |
| textacy | Python library for performing NLP tasks |
| Presidio | Data protection and de-identification SDK |
| polyglot | Multilingual text (NLP) processing toolkit |
| AllenNLP | Apache 2.0 NLP research library |
| Snips NLU | Natural Language Understanding Python library |
| PyNLPI | Various modules useful for common, and less common, NLP tasks |
| nlpnet | Natural Language Processing with neural networks |
| Pattern | Web mining module |
| GluonNLP | Deep Learning for NLP |
| PyTorch-NLP | Neural network layers, text processing modules and datasets |
| NLP Architect | Deep Learning NLP/NLU library |
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