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191,423,563 downloads
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Last Updated: 1/14/2025
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Latest Version: 1.2.0
Microsoft Azure PowerShell - Machine Learning Web Services cmdlets for Azure Resource Manager in Windows PowerShell and PowerShell Core. For more information on Machine Learning, please visit the following: https://learn.microsoft.com/azure/machine-learning/ |
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34,953,845 downloads
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Last Updated: 3/23/2021
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Latest Version: 0.18.6
Microsoft Azure PowerShell - Machine Learning Web Services cmdlets for Azure Resource Manager |
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20,983 downloads
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Last Updated: 11/15/2016
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Latest Version: 1.0.1.0
Microsoft Cognitive Services (aka - Project Oxford - https://www.microsoft.com/cognitive-services ) are some machine learning AI API's to give Human Side to your code and a beatiful user experience. |
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10,007 downloads
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Last Updated: 2/4/2025
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Latest Version: 1.1.8
PnP.Wsl2 Cmdlets, module to manage WSL2 Instances |
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1,152 downloads
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Last Updated: 2/3/2023
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Latest Version: 0.5
Module for API calls to the OpenAI platform (ChatGPT). |
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674 downloads
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Last Updated: 1/24/2018
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Latest Version: 2.2.0
PSNexosisClient allows you to work with the Nexosis API through PowerShell functions. |
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329 downloads
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Last Updated: 6/26/2025
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Latest Version: 0.95.0
pwshBedrock enables interfacing with Amazon Bedrock foundational models, supporting direct on-demand model calls via InvokeModel and the Converse API for supported models. It allows sending messages, retrieving responses, managing message context, displaying model information, and estimating token counts and costs. Use PowerShell to integrate gener... More info |
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70 downloads
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Last Updated: 10/18/2025
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Latest Version: 0.3.0
Brings LLM (Large Language Model) power to the PowerShell REPL command line. Interact with local LLM systems like Ollama directly from your PowerShell session with convenient commands and aliases. |
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51 downloads
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Last Updated: 3/19/2026
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Latest Version: 4.0.0
VBAF (Visual Business Automation Framework) - A complete Deep Q-Network (DQN) reinforcement learning framework built entirely in PowerShell 5.1. No Python. No dependencies. 27 phases: Core DQN engine, Q-Learning, Neural Networks, and 14 enterprise automation pillars including SelfHealing, AnomalyDetector, IncidentResponder, ComplianceReporter, User... More info |