This repository provides TensorFlow implementations of Liquid Time-Constant Networks (LTCs), a class of continuous-time recurrent neural networks with time-dependent dynamics. The implementation supports backpropagation through time (BPTT) for training and includes comparison baselines such as Neural ODEs, CTRNNs, LSTM, and GRU. It provides training scripts for time-series benchmarks including gesture segmentation, room occupancy detection, human activity recognition, traffic volume prediction, and ozone level forecasting.