grt

Built specifically for low-latency processing of live sensor streams, as emphasized in the key features, making it ideal for interactive applications like gesture-based interfaces.

Allows flexible chaining of preprocessing, feature extraction, and classification modules, enabling customizable system architectures without reinventing the wheel.

Includes a wide range of supervised and unsupervised algorithms, from SVM and HMM to neural networks, listed in the core algorithms section, reducing the need for external libraries.

Provides uniform functions like predict(), train(), save(), and load() across all modules, simplifying usage and reducing the learning curve for developers.