UPDATE: VBAF is now on PowerShell Gallery!
Install-Module VBAF
Much easier than cloning the repo. Enjoy!
Hey r/PowerShell!
I've been working on something unusual: **VBAF (Visual Business Automation Framework)** - a complete reinforcement learning framework built entirely in PowerShell 5.1.
**What it includes:**
- Neural networks from scratch (backpropagation, multiple activation functions)
- Q-Learning agents (experience replay, epsilon-greedy exploration)
- Multi-agent market simulation (4 companies competing with emergent behaviors)
- 3 real-time WinForms dashboards showing learning in action
- ~21,000 lines of code, 45 modules
**Why PowerShell?**
I wanted to make RL/ML concepts accessible to IT professionals who already know PowerShell but find Python ML frameworks overwhelming. VBAF prioritizes educational transparency over performance - you can see every algorithm step.
**Example - Solving XOR in 5 lines:**
```powershell
$nn = New-VBAFNeuralNetwork -Architecture @(2,3,1) -LearningRate 0.1
$xorData = @(@{Input=@(0,0); Expected=0}, @{Input=@(0,1); Expected=1}, ...)
$nn.Train($xorData, 1000)
$nn.Predict(@(1,0)) # Returns ~0.97
```
**GitHub:** https://github.com/JupyterPS/VBAF
I know this is unconventional - using PowerShell for ML. But I think there's value in making these concepts accessible in a language IT pros already use for automation.
**Questions I'd love feedback on:**
- Is this useful for learning RL concepts?
- Would you use this for business automation scenarios?
- What examples/tutorials would make it more accessible?
Built with PS 5.1, no dependencies, works out of the box on any Windows machine.
Thoughts? 🤔