Showing 2 open source projects for "no code ai design"

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  • Automate contact and company data extraction Icon
    Automate contact and company data extraction

    Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.

    Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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  • Powerful cloud-based licensing solution designed for fast-growing software businesses. Icon
    Powerful cloud-based licensing solution designed for fast-growing software businesses.

    A single-point of license control for desktop, SaaS, and mobile applications, APIs, VMs and devices.

    10Duke Enterprise is a cloud-based, scalable and flexible software licensing solution enabling software vendors to easily configure, manage and monetize the licenses they provide to their customers in real-time.
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    AI Runner

    AI Runner

    Offline inference engine for art, real-time voice conversations

    AI Runner is an offline inference engine designed to run a collection of AI workloads on your own machine, including image generation for art, real-time voice conversations, LLM-powered chatbots and automated workflows. It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services.
    Downloads: 2 This Week
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  • 2
    NVIDIA NeMo Framework

    NVIDIA NeMo Framework

    Scalable generative AI framework built for researchers and developers

    NVIDIA NeMo is a scalable, cloud-native generative AI framework aimed at researchers and PyTorch developers working on large language models, multimodal models, and speech AI (ASR and TTS), with growing support for computer vision. It provides collections of domain-specific modules and reference implementations that make it easier to pre-train, fine-tune, and deploy very large models on multi-GPU and multi-node infrastructure. NeMo 2.0 introduces a Python-based configuration system,...
    Downloads: 0 This Week
    Last Update:
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