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Securing the Cloud Made Easy
Multi-cloud security delivered — now and in the future.
Designed for organizations operating in the cloud who need complete, centralized visibility of their entire cloud estate and want more time and resources dedicated to remediating the actual risks that matter, Orca Security is an agentless cloud Security Platform that provides security teams with 100% coverage their entire cloud environment.
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM.
Quick Start: "java -jar nen.jar"
NeuralJ is a free, open-source neural network library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neural network platform available.
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
Inspections+ Mobile forms for Dynamics 365 - Resco.net
Start collecting field data without the hassles of complicated development thanks to resco.Inspections' native integration with Dynamics 365.
Equip your frontline teams with a robust digital solution to simplify data collection and reporting. Handle inspections and audits effortlessly, even in remote locations, and create comprehensive reports on the spot, all integrated with Dynamics 365.
A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.