Search Results for "deep" - Page 3

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. ...

The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.

...Test steps are used like bricks to create test cases while test groups collect test cases and other test groups to create a test suite. Test cases are written in a simple text language thus allowing composition of cases from test steps without deep programming knowledge. Reports are created in text and in XML format, the latter are converted to a human readable form when using a standard web browser.

Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around.

Mori brings ClojureScript's efficient persistent data structures and functional APIs into vanilla JavaScript, enabling immutability and functional programming patterns with performant collections in JS. The installed package contains a single optimized JavaScript file mori.js. Load mori in your Node.js programs as you would any other module. For vectors and maps we provide efficient thaw and freeze operations. All Mori maps and sets support all the non-mutating methods of the proposed ES6...

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 (http://docs.broadleafcommerce.org/core/current). The most current Broadleaf Commerce (www.broadleafcommerce.com) source code is now maintained on GitHub (https://github.com/BroadleafCommerce). ...

iJaNet is a J2EE-based framework designed for building distributed applications. However, it is very simple and does not requre deep knowledge of J2EE to be used in various projects. For a detailed information see http://www.janetframework.org

Java objects that share parts of immutable graphs. Reused subgraphs have directly or indirectly recursive Elements. Selected components get replaced by new counterparts in Context of Mirrors - translation tables. Deep copies are not involved.

DNA is an open, flexible and extensible deep network analyzer software server and software architecture for gathering and analyzing network packets, network sessions and applications protocols, passively off enterprise class networks.