Frameworks

Caffe is a deep learning framework developed for image classification and other tasks using Convolutional Neural Networks (CNNs).

Chainer is a flexible, intuitive deep learning framework that allows for dynamic computation graphs.

DReCon stands for Data Representation and Contextualization, a framework for enhancing data interoperability.

MXNet is an open-source deep learning framework known for its scalability and efficiency in training neural networks.