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.
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