Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Start Free
Our Free Plans just got better! | Auth0
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
MODANS is a set of specifications that provides a simulation framework for Inter-Vehicular Networks (DTN). The project consists of a set of Java interfaces and it comes with some simple implementations and a simple Graphical User Interface.
MOTO (Moving Objects Trace generatOr) is a trace generator for the moving objects application domain. Its main strength is scalability for large networks and many moving objects.
The goal of this project is to extend an existing IDE (KDevelop) with support for compiling, debugging and executing of parallel MPI programs ( see http://www-unix.mcs.anl.gov/mpi ) . Current plugin version runs under Linux on KDE 3.3 with KDevelop 3.1.1
Parallel SCVT generator, using a new method for the parallel computation of Spherical Delaunay Triangulations. Uses Jonathan Shewchuk's Triangle http://www.cs.cmu.edu/~quake/triangle.html
Evaluation of methods/software is considered as a very important procedure for any user who wants to know the actual performance of a scientific tool. For the implementation of such evaluation procedure several test cases - scenarios shall be run. Obtaining the necessary test data sets can be an obstacle due to both privacy issues and also the time and cost associated with collecting multiple instances of a diverse set of data sources. An efficient alternative is the design and use of synthetic reference data sets to undertake black-box testing. These data sets should be generated in a manner consistent with the functional specification of the problem addressed by the method/software. According to this approach a data set generator was developed for the evaluation of preference disaggregation methods that are used for customer satisfaction analysis, like MUSA (Multicriteria Satisfaction Analysis).
Paessler: Easy to Use With Enterprise Power. Free Trial
A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
NS-3 libraries for simulating environments with the MQ Telemetry Transport (MQTT) protocol.
For more information go to the Wiki.
You can see a guide of how to integrate this library into the NS-3 here:
http://www.eg.bucknell.edu/~perrone/2010/08/27/creating-a-new-module-in-ns-3/
A highly flexible 3D flocking boids simulator, conceived as a tool for
This project concerns the design and implementation of an open-source flocking boids simulator, designed as a tool to analyze and characterize flock-like collective emerging behaviors. Each boid is conceived as an active agent and modelled by a point-mass approximation. Boid movements in a 3D space are guided by a set of elementary steering behaviors, each implemented as a force acting on the boid's point mass. Each boid is affected by interactions with both the environment and other boids. The set of considered behaviors are inspired by the well-known approach introduced in 1987 by C. W. Reynolds. The simulator delivers a 3D visual interface and provides as an output file all the instantaneous microscopic information related to each boid (positions and velocities over time), allowing in this way subsequent analysis, such as searching for synthetic and higher-level descriptions of collective behaviors, relying for instance on global network and meta-structural properties.
The MuDiSP3 is a set of C++ classes acting as a framework for the execution of Digital Signal Processing (DSP) simulations. The entire simulated system is represented by a "System" class which inherits his properties from a general purpose DSP. The user c
An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem
MaGate 2.0 is now available from github!
https://github.com/huangye177/magate
Macro PLC Trainer es un entorno muy completo e intuitivo de programación LADDER para logra un eficaz y rápido aprendizaje del mismo. Además permite simular sus propias automatizaciones que vayas desarrollando e ir probándolos antes de aplicarlos en el mundo real.
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
Magneticle is a 3D OpenGL physical simulation that applies the Biot-Savart law to charged particles operating inside a magnetic field produced by a current-carrying wire modeled as an arbitrary space curve.
Optical design application geared to telescopes and other optical systems. Features include layout design, optimization, standard expected output, ability to import ZMX and LNS files
Mangrovia is a tool for automatic complex multilayer topology generation in a compatible format with Network Simulator 2 (ns-2). Based on specs (in xml format), software creates an otcl script. Users can set Bandwidths, Distances, Linking Policies.
Software for optimization of multi modal, multi dimensional functions based on SOMA algorithm. Program is implemented on top of hadoop, and is especially well suited for functions with high computational times because of its distributed nature.