This repository implements the handwriting synthesis experiments from Alex Graves’s 2013 paper on generating sequences with recurrent neural networks. The model uses bidirectional LSTM layers with a mixture density network output to generate sequences of pen strokes that form handwritten text. Users can prime the model with custom styles and bias the outputs to control neatness, generating SVG files of synthesized handwriting. A pretrained model is included along with a web demo.