carpedm20/lstm-char-cnn-tensorflow
in progress
This is a machine learning project that helps deep learning researchers and practitioners experiment with character-aware neural language models. You input text data, and it processes this data using a combination of word-level and character-level convolutional neural networks, highway networks, and recurrent neural networks to build a language model. The output is a trained model that can be used to predict the next word or character in a sequence.
780 stars. No commits in the last 6 months.
Use this if you are a deep learning researcher or practitioner interested in implementing and experimenting with character-aware neural language models for text generation or prediction.
Not ideal if you need a production-ready language model with proven performance, as this implementation is still in progress and has known performance issues.
Stars
780
Forks
241
Language
Python
License
MIT
Category
Last pushed
Jul 27, 2018
Commits (30d)
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