ptcn 0.1.3

TF2 implementation of a Temporal Convolutional Network with a probabilistic twist

ptcn

Tensorflow (2.x) implementation of a Temporal Convolutional Network architecture, with a probabilistic twist.

This project indulges a couple of curiosities:

1. Working with convolutional sequence-to-sequence models a la An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
2. Adding a bayesian twist to the network a la Bayesian Segnet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

This implementation has been inspired by other projects, including:

• https://github.com/locuslab/TCN
• https://github.com/Baichenjia/Tensorflow-TCN
• https://github.com/philipperemy/keras-tcn