This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

An implementation of a sequence to sequence neural network using an encoder-decoder

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

Implementations of Quantile Regression

Material for a short graduate course on Bayesian nonparametrics