In this repo, I experiment with TensorFlow models and make some adaptations to them. Keeping them as a personal library of useful models; however, I do not claim ownership of the original code.
- Multi-class CNN Text Classification
- Allowed to use word2vec embeddings
- Modified the model to be multi-class
- SCLSTM Semantically Conditioned LSTM for Language Generation
- Added method for iterative evaluations
- Sequence Tagging with Bi-RNN
- TODO: split training data into real train/test/dev
- TODO: need to add training data