Curr allows users to define neural networks using YAML or JSON files, making it easy to customize hyperparameters and model architecture. It supports popular frameworks like TensorFlow, Theano, and PyTorch, enabling a seamless integration for various applications beyond audio, including images and text. Recent hackathons showcased its versatility, with participants creating innovative projects like transforming video appearances.
