Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
Build Securely on AWS with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
JMAT : Java MATrix tools package.
Provides an easy-to-use class of matrix with MATLAB-like functions and syntax. JMAT also includes plots and histograms in 2D or 3D, an expression parser, and some statistic simulation tools.
LearnML is a XML based markup language to put learning materials in the web.
Based on a simple syntax, LearnML documents can be transformed to any kind of web page (HTML, XHTML) or (printable) PDF document.
MAGMA: Multiobjective Analyzer for Genetic Marker Acquisition
A genetic algorithm for generating SNP tiling paths from a large SNP database
based on the competing objectives of cost (number of SNPs) and coverage (haplotype blocks):
Hubley R., Zitzler
Calculates the shape of a telescope mirror from a sequence of Foucault test images. Java-based GUI simplifies entering and organizing measurement data. Logging and comparison functions enable quantification of the effects of various figuring strokes.
Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Contextual rule-based text normalization engine written in java, that can be used to implement stemming algorithms or phonetic normalizers. The project includes a french stemmer/phonetic normalizer, and a soundex implementation. Includes a Lucene Analyzer
Making Hebrew properly searchable by IR software. Right now, most work is being done in our mailing list (planning), and on our github repository (concept code, see below).