A toolbox for analyzing non-linear control algorithms from an optimization perspective.
A toolbox of selected optimization algorithms for unstructured tasks such as binary classification, and structured prediction tasks such as visual object localization and named entity recognition.
A code to implement Convolutional Kernel Networks (CKN) on image classification tasks. CKNs are the translation of Convolutional Neural Networks (ConvNets) into the framework of kernel methods. The present code provides a concret implementation of this framework on benchmark architectures and datasets.