Neural network autoencoders for unevenly sampled time series

Code accompanying "A recurrent neural network for classification of unevenly sampled variable stars".

• Code for scores/figures is found in figures.ipynb
• Autoencoder network architecture is defined in autoencoder.py
• Experiments for simulated data are found in autoencoder.main
• Experiments for light curve data are found in survey_autoencoder.main
  • Light curve data is in ./data
• Model weights are saved in ./keras_logs

See mirror at https://gitlab.com/cesium-ml/IrregularTimeSeriesAutoencoderPaper to download the full set of input data.