Showing 3 open source projects for "dll custom frameworks"

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  • Application Monitoring That Won't Slow Your App Down Icon
    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

    Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
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  • 1
    Blueprint Framework

    Blueprint Framework

    Powerful, fast and developer-friendly extension framework

    Blueprint Framework is an open-source extension framework for Pterodactyl, a popular game server management panel. It enables developers to create versatile, easy-to-install extensions that system administrators can deploy within minutes, without the need for custom coding across multiple panel modifications. Blueprint aims to provide a powerful, fast, and developer-friendly environment for building and managing extensions, offering comprehensive documentation, developer commands, and...
    Downloads: 0 This Week
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  • 2
    Stack

    Stack

    The Haskell Tool Stack

    Stack is a cross-platform build tool for Haskell projects that simplifies dependency management, project setup, and reproducible builds. It provides curated package sets (Stackage), isolated project environments, and consistent tooling for compiling and testing Haskell applications. Stack streamlines workflows for developers by automating many parts of the Haskell toolchain, making it easier to get started and maintain complex codebases. It supports integration with GHC (Glasgow Haskell...
    Downloads: 1 This Week
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  • 3
    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. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based...
    Downloads: 0 This Week
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