...Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device.
A slightly modified base package Slackware image suitable for VM performance testing.
Project Goals:
Development of production testing protocols
Base Image
Base +Apache
Base + MySQL
Base + node.js
Base + AoE
Standard Full Slackware Current VM image
The goal of the Slackless project is really two-fold. To provide high quality virtual images of the original Slackware operating system suitable for use and testing in virtual environments in an effort to introduce users new to...
Real time micro benchmark multi-lingual suite (RTMB) provides a good way to measure the deterministic quality of hardware, an operating system, or a Java VirtualMachine. RTMB consists of benchmarks in C, C++ and Java
Project Bonneville is a suite of Java micro-benchmarks for revealing JVM performance trends and providing insight into coding Java programs for speed. It includes an analysis of its results, and discusses their application to real-world projects.
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.
This project is designed to help programmers understand the resource utilization of their code in the Java VirtualMachine and provide real time feedback via a GUI interface.