Comprehensive-Tacotron2PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.
FlowKetA framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
ARFIMA.jlSimulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
GatedPixelCNNPyTorchPyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016