awesome-repositories.com
Blog
MCP
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektMCP-ServerÜber unsRanking-MethodikPresse
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 Repos

Awesome GitHub RepositoriesMutable Data State Management

Language primitives and syntax for modifying the internal state of complex data structures.

Distinct from Mutable State Tracking: Shortlist focuses on monitoring changes or broadcasting updates, not the actual mechanism of mutation.

Explore 3 awesome GitHub repositories matching programming languages & runtimes · Mutable Data State Management. Refine with filters or upvote what's useful.

Awesome Mutable Data State Management GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • reasonml/reasonAvatar von reasonml

    reasonml/reason

    10,313Auf GitHub ansehen↗

    Reason is a strongly typed functional language and multi-target compiler designed to produce either JavaScript for web environments or native machine code for operating systems. It serves as an OCaml-compatible language that shares an abstract syntax tree with OCaml, providing a practical syntax for the OCaml ecosystem. The project functions as a type-safe frontend language, incorporating JSX support to build user interfaces through structural elements that translate into type-safe function calls. It enables deep integration with the JavaScript ecosystem, allowing the use of existing librarie

    Provides primitives for managing mutable state via wrap-around references.

    OCamljavascriptocamlprogramming-language
    Auf GitHub ansehen↗10,313
  • morvanzhou/tensorflow-tutorialAvatar von MorvanZhou

    MorvanZhou/Tensorflow-Tutorial

    4,334Auf GitHub ansehen↗

    This project is a collection of educational resources and reference implementations for neural network development using TensorFlow. It serves as a comprehensive learning course, machine learning curriculum, and practical implementation guide for building deep learning architectures. The codebase provides instructional materials and examples covering a wide range of model types, including convolutional neural networks for image classification, recurrent networks and long short-term memory cells for sequential data, and autoencoders for generative modeling. It also includes implementations for

    Defines and updates persistent variables to track state changes across multiple executions.

    Pythonautoencoderclassificationcnn
    Auf GitHub ansehen↗4,334
  • oils-for-unix/oilsAvatar von oils-for-unix

    oils-for-unix/oils

    3,288Auf GitHub ansehen↗

    Oils is a Unix shell interpreter and scripting language runtime that combines a modern shell language with POSIX and Bash compatibility. It functions as a structured data shell, integrating JSON and J8 formats to manage complex data without relying on string parsing. The system is distinguished by a C++ transpiled interpreter that converts a subset of Python source code into strongly typed C++ for high-performance execution. It features a garbage-collected typed runtime that supports prototype-based polymorphism, lexical closures, and reference-based variable mutation. To decouple shell logic

    Manages lists and dictionaries using dedicated mutating methods and thin-arrow syntax.

    Python
    Auf GitHub ansehen↗3,288
  1. Home
  2. Programming Languages & Runtimes
  3. Mutable Data State Management