Search Results for "deep mind"

...Its model collection includes FM, DSSM, YouTubeDNN, NCF, SDM, MIND, and ComiRec. It is designed to make matching-model experimentation, training, and representation export easier within TensorFlow-based projects.

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding.

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform libraries. ...

Broadleaf Commerce (www.broadleafcommerce.com) is an open source Java eCommerce platform based on the Spring Framework. Broadleaf Commerce uses a robust, extensible architecture that enables deep customization and rapid development. The core framework is licensed under the Apache 2 license with additional community and commercial modules. Find out more here (www.broadleafcommerce.com). To get started using the project, we recommend our Getting Started guide...