Showing 9 open source projects for "high"

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  • 1
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations.
    Downloads: 0 This Week
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  • 2
    Glint Translator
    Glint Translator is a high-performance, privacy-focused Windows application for real-time in-game and voice translation without interrupting gameplay. Powered by leading cloud and offline/local AI models including Google Gemini, OpenAI, xAI Grok, DeepL, Azure, and Ollama (Gemma, Qwen), it seamlessly translates 240+ languages with an intuitive, plug-and-play interface.
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    Downloads: 27 This Week
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  • 3
    TagForge

    TagForge

    Cross-platform AI tagging and prompt engineering studio

    TagForge is a professional, cross-platform desktop application for AI prompt engineering and image tagging. Built on .NET 9 and Avalonia UI, it provides a sleek, high-performance workspace for crafting perfect prompts for Stable Diffusion, FLUX, Midjourney, and other generative AI models. ## Key Capabilities - Multi-model tagging: Specialized generators for Stable Diffusion (tags), FLUX/Midjourney (prose), and custom LLM workflows - Multimodal vision: Extract metadata or generate descriptive captions directly from images - Contextual chat assistant: Persistent, coding-capable AI helper with real-time provider features - Persona system: Create custom identities with dynamic input injection and role-based templates - Chat rules: Modular behavioral controls (Concise, Detailed, etc.) with CRUD interface - Agent orchestrator: Centralized management of API keys, endpoints, and model parameters
    Downloads: 0 This Week
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  • 4
    SPM - Monitoring  system

    SPM - Monitoring system

    Monitoring Tool for your IT Environment

    SPM Monitoring System - Complete Solution for Efficient Monitoring and Alerting SPM Monitoring System is an all-in-one monitoring solution for IT environments that offers comprehensive features to ensure high availability, stability, and optimal performance of your infrastructure. With SPM Monitoring Systems, you can monitor your network, servers, applications, and services with ease, and receive timely alerts when issues arise. Host Availability Monitoring. Agent-Based Monitoring: CPU,RAM,Storage,Network,EventLogs etc. SNMP Monitoring. ...
    Downloads: 6 This Week
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  • 5
    TensorFlow.NET

    TensorFlow.NET

    .NET Standard bindings for Google's TensorFlow for developing models

    ...It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. ...
    Downloads: 0 This Week
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  • 6
    ML.NET Samples

    ML.NET Samples

    Samples for ML.NET, an open source and cross-platform machine learning

    ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers. In this GitHub repo, we provide samples that will help you get started with ML.NET and how to infuse ML into existing and new .NET apps. We're working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. The...
    Downloads: 0 This Week
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  • 7
    When to use TensorFlowSharp

    When to use TensorFlowSharp

    TensorFlow API for .NET languages

    ...Its primary purpose is to enable developers working in Microsoft-based environments to load trained TensorFlow models and perform inference or additional training within .NET applications. The library focuses mainly on providing access to the low-level TensorFlow runtime rather than offering the high-level abstractions commonly available in Python libraries like Keras. This design allows applications written in C# or F# to execute machine learning graphs produced by Python workflows while maintaining compatibility with the TensorFlow runtime.
    Downloads: 0 This Week
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  • 8
    GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
    Downloads: 0 This Week
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  • 9
    Bioloid API is a C# class library made to easily controle a Bioloid Robot directly from a computer. It allows to connect to a CM-5 controller and send comands to every dynamixels through high level commands.
    Downloads: 0 This Week
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