text-rnn allows you to create modern neural network architectures which use modern techniques such as skip-embedding and attention weighting. Train either a bidirectional or normal LSTM recurrent neural network to generate text using any dataset. You can continue training a pre-trained model.
A character-level decoder Transformer that generates Shakespeare's like text.
GPTs trained with shakespeare dataset. Includes: small 10.8M GPT mimicking Andrej Karpathy's video lecture, Universal Transformer with Adaptive Computation Time
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