This is the Windows app named nlp-tutorial whose latest release can be downloaded as nlp-tutorialsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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nlp-tutorial
DESCRIPTION
nlp-tutorial is an educational repository that implements influential natural language processing models in concise PyTorch examples. Most implementations use fewer than 100 lines of executable code, making the architectures easier to inspect and modify. The curriculum begins with neural language models, Word2Vec, and FastText. It then covers TextCNN, recurrent networks, LSTM, bidirectional LSTM, sequence-to-sequence learning, and attention. Later examples implement the Transformer and BERT for translation, classification, and masked-token tasks. Paper links and Google Colab notebooks connect each implementation with its research background and an accessible runtime.
Features
- Concise PyTorch model implementations
- Word embedding and language models
- CNN, RNN, and LSTM examples
- Sequence-to-sequence attention models
- Transformer and BERT implementations
- Research papers and Colab notebooks
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/nlp-tutorial.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
