Showing 3 open source projects for "parallel genetic algorithm"

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  • Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers. Icon
    Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers.

    It enables businesses to sell from anywhere using mobile point-of-sale tools while also providing a ready-built online store for seamless omnichannel

    Paladin Point of Sale is ideal for independent retailers in hardware, lumber, pharmacy, and specialty retail industries seeking an easy-to-use, industry-specific POS system with strong support and flexibility.
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  • Estimating Software for Heavy Construction Icon
    Estimating Software for Heavy Construction

    Developed specifically for civil construction

    Built by an estimator, SharpeSoft Estimator is a fully comprehensive software that allows for a more efficient and quicker job-winning bids. Ideal for civil, utility, heavy/highway, grading, excavating, paving, and pipeline contractors, SharpeSoft Estimator offers advanced features such as Item Master, Subcontractor Comparison, Materials Comparison, Grouped Items, Trench Profiler, Haul Calculations, What-if Scenarios, Batch Reports, and more.
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  • 1
    TensorHouse

    TensorHouse

    A collection of reference Jupyter notebooks and demo AI/ML application

    TensorHouse is a scalable reinforcement learning (RL) platform that focuses on high-throughput experience generation and distributed training. It is designed to efficiently train agents across multiple environments and compute resources. TensorHouse enables flexible experiment management, making it suitable for large-scale RL experiments in both research and applied settings.
    Downloads: 2 This Week
    Last Update:
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  • 2
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
    Downloads: 0 This Week
    Last Update:
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