This repository implements CfC, a continuous-time neural network model designed for handling irregularly sampled sequential data. It provides implementations in both TensorFlow 2.x and PyTorch with various model variants including gated and minimal configurations. The library includes training scripts for datasets like Physionet 2012, IMDB, and Walker2d, making it a practical tool for benchmarking continuous-time neural network architectures.