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Open Source PowerShell Machine Learning Software

PowerShell Machine Learning Software

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  • One Platform. Total IT Insight. Start with PRTG Now Icon
    One Platform. Total IT Insight. Start with PRTG Now

    Rely on a single source of truth. PRTG unifies monitoring for all your systems, apps, and services.

    Why settle for fragmented monitoring? PRTG consolidates everything - servers, VMs, network devices, cloud services, and more, into one powerful platform. Get real-time status, customizable alerts, and deep analytics to drive smarter decisions. Designed for complex environments, PRTG scales with your needs, supports team collaboration, and helps you prevent outages before they impact users. Take control of your IT landscape and deliver the uptime your business requires.
    Start Your Free PRTG Trial
  • Stigg | SaaS Monetization and Entitlements API Icon
    Stigg | SaaS Monetization and Entitlements API

    For developers in need of a tool to launch pricing plans faster and build better buying experiences

    A monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise.
    Learn More
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    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 "best" model and the code for running it will be generated for you. The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using.
    Downloads: 0 This Week
    Last Update:
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