Search Results for "network gui"

ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host networks. ...

useful library for repetitive java stuff

Gnoga uses modern web technologies to allow simple creation of cross platform GUIs for Ada with native or custom look and feels that perform on par to native toolsets locally and can be easily and securely remoted as web apps over the internet as well.

GUI for easier installation and training of neural network models for guitar amplifiers and pedals, based on the GuitarML Proteus models. These are usable for Proteus, Chowdhury-DSP BYOD and even NeuralPi, on all platforms incl. Linux and RaspberryPi. What is this? GuitarML's work on Proteus, NeuralPi and Proteusboard (hardware) is amazing. https://github.com/GuitarML Yet, it is not easy to wrap your head around if you are not familiar with programming, AI, machine learning, neuronal networks. ...

IMPORTANT: Please refer to the Ctalk wiki, available from the tab above, for important release information. Ctalk is a compact object oriented language that works closely with C. That means you can use Ctalk for GUI, network, client-server, and systems programs as well as traditional object oriented simulations, with all of the advantages of a true object oriented language, like class and method inheritance, and rapid prototyping. Ctalk includes a just-in-time compiler, a compact run-time library, and a developing set of X widgets and OpenGL classes to create desktop and 3-D modeling apps. ...

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

Elasticsearch Desktop GUI client. An IDE to create and test your queries.

ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.

"Unified Modular System" is project primarily designed to create platform independent light-weighted modular applications like games but also GUI or service utilities supported. Application is gathered from unified modules as brick wall from brick.

...Using PetriNetExec you can define places and transitions, connect them using arcs and inhibitors, define the initial marking and then fire events and see how tokens flow into the network. * PetriNetExec does not provide a GUI for editing the network nor will it provide in the near future. That is not really a feature :-) but to those of you able to cope with this news I suggest to read further; * Petri Nets are created with PetriNetExec by writing Java code and using the provided API; * PetriNetExec provides a simple yet powerful callback mechanism allowing you to actually do something when events are fired and the network status is changing...

A cakephp facebook component with easy GUI installer with live examples to connect to apps, send app requests, write on wall, view profile picture, friends list, and many more

STBase (Softtopia Toolkit Base) is a set of multiplatform C++ libraries that extends Qt (http://qt.nokia.com/) libraries in areas like Database data persistance, Imaging, Printing, GUI, Networking and I/O device support.

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.

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.

...This project has merged into another that can be found here: https://github.com/nicrohobak/Toolbox The designer portion is currently on hold. ------------------------------------------------------------ A C++ neural network toolkit. This project is a C++ library for adding, potentially complicated, neural networks to any project. libNervousSystem is developed in conjunction with the GUI tool, Nervous System Designer, to easily generate and train networks for use.