liquid_time_constant_networks
The repository provides resources for training continuous-time neural models such as Liquid Time-Constant Networks, Neural ODEs, and Continuous-time RNNs through backpropagation through time (BPTT). Built with TensorFlow 1.14.0 and tested on Ubuntu, it caters to tasks like gesture segmentation and traffic prediction. The repository includes comprehensive setup scripts and examples per dataset, supporting various RNN models and training configurations for mastering temporal prediction tasks.
