General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Free offline SEM software with HTMT, bootstrapping & exports
...Key features include:
• PLS-SEM and covariance-based SEM
• Visual drag-and-drop model builder
• Bootstrapping and mediation analysis
• HTMT, AVE, CR, Cronbach’s Alpha
• Multi-group analysis (MGA)
• R/Python/Lavaan export
• Fully offline execution for sensitive datasets
Available for Windows, macOS, and Linux.
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData.
Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing...
VarData) manipulate a structure of points connected by links.
Addraw) openGL engine.
ElPoly) analyze mechanical properties of polymer and membrane like structures.
Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE.
Avvis) perform all the...
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.
Worst Cases is a python script that enables calculations on worst case objects. Like a calculator operating on worst cases (e.g. [1,2,3]) rather than on real numbers (2.35) WARNING: This program is released as is, and has never been extensively teste
1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
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