57aae34870
Faithful JS port of nisps-core MLP + IML engine with a touch-friendly UI for exploring neural parameter mapping visually. Two learning modes: example-based (set slider targets) and RL feedback (thumbs up/down with exploration noise). Flow field particle system controlled by 8 MLP outputs.
15 lines
475 B
Markdown
15 lines
475 B
Markdown
# Neural Interactive Shaping of Parameter Spaces
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https://musicallyembodiedml.github.io/memlnaut/approaches/nisps
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## Web Playground
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Try NISPS in your browser — no hardware required:
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```bash
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cd playground
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python3 -m http.server
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# Open http://localhost:8000
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```
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Train a neural network to map joystick positions to generative visuals through interactive machine learning. Two learning modes: direct example mapping and reinforcement learning with thumbs up/down feedback.
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