Showing 2 open source projects for "pascal"

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  • The top-rated AI recruiting platform for faster, smarter hiring. Icon
    The top-rated AI recruiting platform for faster, smarter hiring.

    Humanly is an AI recruiting platform that automates candidate conversations, screening, and scheduling.

    Humanly is an AI-first recruiting platform that helps talent teams hire in days, not months—without adding headcount. Our intuitive CRM pairs with powerful agentic AI to engage and screen every candidate instantly, surfacing top talent fast. Built on insights from over 4 million candidate interactions, Humanly delivers speed, structure, and consistency at scale—engaging 100% of interested candidates and driving pipeline growth through targeted outreach and smart re-engagement. We integrate seamlessly with all major ATSs to reduce manual work, improve data flow, and enhance recruiter efficiency and candidate experience. Independent audits ensure our AI remains fair and bias-free, so you can hire confidently.
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  • Melis Platform is an enterprise-grade Low Code Platform simplifying app creation, management, and delivery. Icon
    Melis Platform is an enterprise-grade Low Code Platform simplifying app creation, management, and delivery.

    Ideal for websites, apps, e-commerce, CRMs, and more

    Melis is a new generation of Content Management System and eCommerce platform to achieve and manage websites from a single web interface easy to use while offering the best of open source technology.
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    Project EVE AI
    EVEAI is a Deep Learning Library based on python Keras and Tensorflow. EVEAI dll allows embedding inference images from keras models into user-written applications. Under Windows, the EVEAI training Tool provides services to train user specific image datasets and EVEAI dll provides services to existing Windows applications which support inference images. Please visit https://github.com/Hommoner/EVEAI for more information.
    Downloads: 0 This Week
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  • 2
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 0 This Week
    Last Update:
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