Showing 3 open source projects for "deep"

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  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
    Try Auth0 for Free
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • 1
    DeepCTR

    DeepCTR

    Package of deep-learning based CTR models

    DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training.
    Downloads: 0 This Week
    Last Update:
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  • 2
    defu

    defu

    Assign default properties recursively

    Defu is a small utility for merging default options in JavaScript and TypeScript applications. It provides a lightweight and efficient way to handle nested object merging with minimal overhead.
    Downloads: 0 This Week
    Last Update:
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  • 3
    zerobrew

    zerobrew

    A drop-in, 5-20x faster, experimental Homebrew alternative

    ...It reimagines the idea of a “brew-like” experience by focusing on minimal dependencies, reproducible builds, and clarity of configuration so that even complex packages can be installed without deep setup overhead. Rather than abstracting every detail behind magic, ZeroBrew encourages transparency: users see what’s happening at every step and can customize build logic or patches directly within formula definitions. This makes it appealing for environments where reproducibility, auditability, and simplicity matter, such as on developer workstations, CI pipelines, or constrained runtime environments.
    Downloads: 2 This Week
    Last Update:
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