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2 रिपॉजिटरी

Awesome GitHub RepositoriesAlgorithmic Code Mutators

AI-driven tools that modify specific blocks of source code to discover more effective algorithmic implementations.

Distinct from Block-to-Code Generators: None of the candidates cover the mutation of algorithmic logic blocks within source code via LLMs

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Algorithmic Code Mutators. Refine with filters or upvote what's useful.

Awesome Algorithmic Code Mutators GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • carlhuda/januscarlhuda का अवतार

    carlhuda/janus

    7,843GitHub पर देखें↗

    Janus is a Vim distribution and curated plugin configuration that transforms the editor into a full-featured development environment. It functions as a Vim-based IDE, integrating a collection of third-party extensions to provide an integrated development experience. The system features a fuzzy-search project navigator for locating files, buffers, and symbols across a codebase. It also includes a Git-integrated workflow that provides real-time diff visualization in the sign column and allows users to stage hunks and manage version control directly within the editor. The environment covers bro

    Allows moving selected text into a temporary scratch buffer for focused editing without affecting the main file.

    Vim script
    GitHub पर देखें↗7,843
  • algorithmicsuperintelligence/openevolvealgorithmicsuperintelligence का अवतार

    algorithmicsuperintelligence/openevolve

    5,421GitHub पर देखें↗

    OpenEvolve is an open-source framework for evolutionary computation that uses language models to drive automated optimization across multiple domains. It can evolve system prompts for large language models, refine source code across programming languages, search for optimal GPU kernel configurations, discover interpretable mathematical expressions from data, and maintain diverse populations of high-performing solutions. The framework integrates multiple evolutionary strategies, including MAP-Elites diversity mapping and island-based topologies, to avoid premature convergence and preserve a wid

    Evo marks code regions with start and end comments so that mutation and recombination target those sections during evolution.

    Pythonalpha-evolvealphacodealphaevolve
    GitHub पर देखें↗5,421
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  • Evolvable Code Region Markers1 सब-टैगComment-based markers that delimit code regions for targeted mutation and recombination during evolutionary optimization. **Distinct from Algorithmic Code Mutators:** Distinct from Algorithmic Code Mutators: focuses on the marking mechanism that defines which code sections are evolvable, not on the mutation process itself.