Showing 55 open source projects for "artificial intelligence algorithm"

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  • 1
    ModelFox

    ModelFox

    ModelFox makes it easy to train, deploy, and monitor ML models

    ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine...
    Downloads: 0 This Week
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  • 2
    Rust Telegram Bot Library

    Rust Telegram Bot Library

    Rust Library for creating a Telegram Bot

    A library for writing your own Telegram bots.
    Downloads: 0 This Week
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  • 3
    Monoio

    Monoio

    Rust async runtime based on io-uring

    Monoio is a Rust asynchronous runtime designed for high-performance I/O-bound servers and applications, built around native OS async I/O primitives (e.g. io_uring on Linux, epoll / kqueue on other Unix-like systems), rather than layering atop an existing runtime. Its design philosophy centers on a “thread-per-core” model where each core runs its own event loop, minimizing cross-thread synchronization needs, avoiding the overhead and complexity of task scheduling, and letting developers write...
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  • 4
    Aurora

    Aurora

    It is a chatbot application for now

    It is a chatbot application for now
    Downloads: 0 This Week
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  • 5

    Savant

    Python Computer Vision & Video Analytics Framework With Batteries Incl

    Savant is an open-source, high-level framework for building real-time, streaming, highly efficient multimedia AI applications on the Nvidia stack. It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building...
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