VBAF

2.1.0

VBAF (Visual Business Automation Framework) - A complete machine learning framework built entirely in PowerShell 5.1. No Python. No dependencies. 8 phases: Neural Networks, Q-Learning, DQN, PPO, A3C, Supervised Learning, Data Pipeline, Deep Learning (CNN/RNN/LSTM), MLOps, AutoML, Explainability. GitHub: https://github.com/JupyterPS/VBAF

Minimum PowerShell version

5.1

Installation Options

Copy and Paste the following command to install this package using PowerShellGet More Info

Install-Module -Name VBAF -RequiredVersion 2.1.0

Copy and Paste the following command to install this package using Microsoft.PowerShell.PSResourceGet More Info

Install-PSResource -Name VBAF -Version 2.1.0

You can deploy this package directly to Azure Automation. Note that deploying packages with dependencies will deploy all the dependencies to Azure Automation. Learn More

Manually download the .nupkg file to your system's default download location. Note that the file won't be unpacked, and won't include any dependencies. Learn More

Owners

Copyright

(c) 2025-2026 Henning. All rights reserved.

Package Details

Author(s)

  • Henning

Tags

AI MachineLearning ReinforcementLearning NeuralNetwork QLearning DQN PPO A3C MultiAgent Automation Visualization PowerShell Education MLOps DeepLearning CNN RNN LSTM AutoML DataPipeline

Functions

New-VBAFNeuralNetwork Train-VBAFNeuralNetwork Test-VBAFNeuralNetwork Export-VBAFNeuralNetwork Import-VBAFNeuralNetwork New-VBAFAgent Train-VBAFAgent Get-VBAFAgentStats Export-VBAFAgent Import-VBAFAgent New-VBAFMarket Start-VBAFMarketSimulation Get-VBAFMarketStats New-VBAFDashboard Show-VBAFLearningCurve Show-VBAFNetworkStructure Start-VBAFCastleCompetition New-VBAFAestheticReward Get-VBAFVersion Get-VBAFExamples Test-VBAF

PSEditions

Desktop

Dependencies

This module has no dependencies.

Release Notes

v2.1.0 (March 2026) - Full 8-phase ML framework complete. Phases 1-2: Neural Networks, Q-Learning, Dashboards. Phase 3: DQN, PPO, A3C. Phase 4: Supervised Learning. Phase 5: Data Pipeline. Phase 6: CNN, RNN, LSTM, Autoencoders, Transfer Learning. Phase 7: MLOps, Model Server, AutoML, Explainability. Phase 8: Tutorials, Examples, Templates.

FileList

Version History

Version Downloads Last updated
3.0.0 11 3/9/2026
2.1.0 (current version) 9 3/1/2026
1.0.1 20 2/5/2026
1.0.0 3 2/4/2026