5 programs for "artificial intelligence python" with 2 filters applied:

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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  • 1
    jMetal
    jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.
    Downloads: 3 This Week
    Last Update:
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  • 2
    EASEA
    EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Critterding

    Critterding

    Evolving Artificial Life

    Critterding is a "Petri dish" universe in 3D that demonstrates evolving artificial life. Critters start out with completely random brains and bodies, but will automatically start evolving into something with much better survival skills.
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    Downloads: 22 This Week
    Last Update:
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  • 4

    EGA

    A novel and effictive GA algorithm to solve optimization problem

    Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments...
    Downloads: 0 This Week
    Last Update:
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  • Turn Your Content into Interactive Magic - For Free Icon
    Turn Your Content into Interactive Magic - For Free

    From Canva to Slides, Desmos to YouTube, Lumio works with the tech tools you are already using.

    Transform anything you share into an engaging digital experience - for free. Instantly convert your PDFs, slides, and files into dynamic, interactive sessions with built-in collaboration tools, activities, and real-time assessment. From teaching to training to team building, make every presentation unforgettable. Used by millions for education, business, and professional development.
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  • 5

    GENet

    A genetic algorithm framework for artificial neural networks.

    A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
    Downloads: 0 This Week
    Last Update:
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