Showing 5 open source projects for "structural seismic design"

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    Design Patterns in Swift

    Design Patterns in Swift

    Design Patterns implemented in Swift

    Design-Patterns-In-Swift is a repository that translates classic software engineering design patterns (from sources like the Gang of Four) into Swift code examples, so you can see how those patterns look in a modern, strongly typed, object-/protocol-oriented language. It covers creational, structural, and behavioral patterns: singletons, factories, decorators, observers, strategy, command, mediator, and more.
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    Design Patterns Library

    Design Patterns Library

    A comprehensive design patterns library implemented in C#

    A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to...
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  • 3
    Valibot

    Valibot

    Modular and type safe schema library for validating structural data

    Valibot is a modular and type-safe schema library for validating structural data. It provides developers with tools to define and enforce data schemas, ensuring data integrity and consistency across applications.​
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  • 4
    Phlex

    Phlex

    Object-oriented views in Ruby

    ...Phlex integrates seamlessly with Ruby on Rails and supports common tools such as Tailwind CSS, Stimulus, and Turbo, making it easy to incorporate into modern Rails applications. It also emphasizes safety and maintainability by preventing common issues such as cross-site scripting through structural design and strict data handling. Developers benefit from reusable components, modular architecture, and the ability to stream content for improved performance and user experience.
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    Penzai

    Penzai

    A JAX research toolkit to build, edit, & visualize neural networks

    Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained...
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