Showing 6 open source projects for "optimize"

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    TorchServe

    TorchServe

    Serve, optimize and scale PyTorch models in production

    ...REST and gRPC support for batched inference. Export your model for optimized inference. Torchscript out of the box, ORT, IPEX, TensorRT, FasterTransformer. Performance Guide: built-in support to optimize, benchmark and profile PyTorch and TorchServe performance. Expressive handlers: An expressive handler architecture that makes it trivial to support inferencing for your use case with many supported out of the box. Out-of-box support for system-level metrics with Prometheus exports, custom metrics and PyTorch profiler support.
    Downloads: 2 This Week
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    Chat2DB

    Chat2DB

    AI-driven database tool and SQL client

    ...If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. Imports and exports data in multiple formats (CSV, XLSX, XLS, SQL) to facilitate exchange, backup, and migration. ...
    Downloads: 3 This Week
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  • 3
    EFAK-AI

    EFAK-AI

    A AI-Driven, Distributed and high-performance monitoring system

    ...The project focuses on simplifying Kafka administration by offering real-time insights into cluster health, performance metrics, and consumer activity, allowing engineers to quickly diagnose issues and optimize system behavior. It integrates advanced features such as intelligent monitoring, alerting, and automated analysis, enabling proactive management rather than reactive troubleshooting. The platform supports multiple Kafka clusters simultaneously, making it suitable for enterprise environments with distributed data pipelines. It also incorporates AI-driven capabilities that assist with diagnostics, performance recommendations, and conversational querying of system data.
    Downloads: 0 This Week
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  • 4
    X-GAT
    X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.
    Downloads: 0 This Week
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  • 5
    Cambrian is a set of optimizing libraries design to optimize multi and mono objective functions. Cambrian is extension of Genetikos application developed to use genetic algorithms.
    Downloads: 0 This Week
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  • 6
    The Athlete is a virtual robot living in the ODE (Open Dynamics Engine)world. An evolution algorithm is implemented based on the DR-EA-M to optimize its performances. This involves a Genetic algorithm, network of neurons and morphology. All is in java.
    Downloads: 0 This Week
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