Difference between revisions of "Natural Language Tools & Services"
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* [http://github.com/salesforce/awd-lstm-lm LSTM and QRNN Language Model Toolkit for PyTorch | GitHub] | * [http://github.com/salesforce/awd-lstm-lm LSTM and QRNN Language Model Toolkit for PyTorch | GitHub] | ||
* [http://github.com/salesforce/pytorch-qrnn PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub] | * [http://github.com/salesforce/pytorch-qrnn PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub] | ||
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Revision as of 02:54, 20 November 2018
- Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- Natural Language Services
- NLP Tools | Wikipedia
- Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Stanford
- Natural Language Toolkit (NLTK)
- H2O Driveless AI
- NaturalNode Node.js
- SpaCy Python Library
- Matlab
- Sintelix
- Thematically Discover
- Software Packages | Cognitive Computation Group, led by Prof. Dan Roth
- LSTM and QRNN Language Model Toolkit for PyTorch | GitHub
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub
