Search Results for "execute" - Page 7

Frameworks using nGraph Compiler stack to execute workloads have shown up to 45X performance boost when compared to native framework implementations. We've also seen performance boosts running workloads that are not included on the list of Validated workloads, thanks to nGraph's powerful subgraph pattern matching. Additionally, we have integrated nGraph with PlaidML to provide deep learning performance acceleration on Intel, nVidia, & AMD GPUs. nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets. ...

lgo is an open-source programming environment that enables interactive Go programming within Jupyter Notebook environments. The project provides a Jupyter kernel for the Go programming language, allowing developers to write and execute Go code interactively in notebook cells similar to how Python is used in data science workflows. This environment combines the strong performance and concurrency features of the Go language with the exploratory and iterative style of notebook-based programming. Developers can execute code snippets, visualize results, and experiment with Go programs in a step-by-step manner without compiling full programs manually. ...

...The library focuses mainly on providing access to the low-level TensorFlow runtime rather than offering the high-level abstractions commonly available in Python libraries like Keras. This design allows applications written in C# or F# to execute machine learning graphs produced by Python workflows while maintaining compatibility with the TensorFlow runtime.

The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. Transactions in GIS, 20(5), 755-775. Other related publications: - Hagenauer, J. (2016). Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks. ...

An IDE for people interested in Machine Vision/Image Processing. Written in Java, using JAI. It allows users to view image data and also provides a drag and drop environment that users can create/execute graphs of JAI operators.

gnostic (or Ada gnostic) is Ada Generic Neural Objects System Engineering For Self Programming Process development with Ada.

...The project’s core idea is instant, zero-setup programming: open a page, pick a language, type, and run—no local installs or environment wrangling. It combines an in-browser editor with a runnable backend or sandbox so code can execute safely and return output in seconds. Sharing and collaboration are first-class: code can be saved, forked, and embedded, which makes it useful for tutorials, classrooms, and quick demos. The architecture leans on simple web technologies so the learning curve stays low for educators and new programmers. Even as the commercial product evolved, this archive shows the foundational approach to making coding accessible anywhere with just a link.

This project develops a Java API and tools to specify and execute organisations for multiagent systems based on Moise model. This model is built upon concepts like groups, roles, global goals and plans, and obligations.

...A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.

...Core Ellipsis components are implemented as MBeans which provides for basic ser-vices to execute agents and control their life-cycle. One of the core components is a special MBean (AgentModul) that makes it possible to load an agent powered by agent engines. Agent engines can execute one type of agent. Based on this mechanism, agents can be added dynamically to a running system, can be stopped (for example in case of an error) and restarted later.

A plugin for Code::Blocks IDE to support CxProlog.

Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.

StateCore is a generic finite state machine (FSM), based on the state pattern and written in C++. - Project: ceStateCore.sourceforge.net - CorEngine Blog: CorEngine.wordpress.com

A framework for bridging the gap between planning, execution, and control, especially with Stanford's whole-body operational space control framework.

Artifical World simulator, it simulate virtual 3D world and execute IA programs. It have API for programming IAs in C++. it use Irrlicht as 3D engine.

The OntoMap Architecture is about using Natural Language to execute users requests, implemented as software components. Natural language requests are converted to an interlingua. This allows the use of different human languages to describe the requests.

VOCP is a complete messaging solution for voice modems, with voicemail, fax, email pager, DTMF command shell and Text-to-Speech support, 3 GUIs and a web interface. Send and receive faxes and voicemail, listen to emails and execute programs on the host.