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
$300 Free Credits to Build on Google Cloud
New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Simulate bad network conditions on Windows - latency, packet loss
Bean Network Tester is a tool for testers and developers: check how your application behaves on a poor connection. Like Clumsy or NetLimiter, it lets you deliberately degrade the network - add ping, drop packets, cap the speed, tear connections down, and more. It works by intercepting traffic with the WinDivert driver (via PyDivert), and offers both a clear windowed interface with tooltips and a command-line mode for CI.
https://beannetworktester.donislawdev.com/
WIMAX Model for ns-2.36 implementing IEEE 802.16-2012 OFDMA.
The earlier version of this NS-2 add-on (for OFDM PHY) was developed at NIST. At the WiMAX Forum Plenary Meeting at Hawaii (January 30 - February 2, 2007), the decision to merge the independent development efforts supported by Application Architecture Task Group (AATG), WiMAX Forum and NIST was taken. In 2009 the source code was made available to public though the website http://community.4gdeveloper.com/ and is moved from Google code to sourceforge gain a broader attention.
Credit is given to everybody who contributed to this software module, especially the development teams at the National Institute of Standards and Technology (NIST), Rensselaer Polytechnic Institute (RPI) and Washington University in St. ...
LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.