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monkey-w1n5t0n e6938ebb8b fix(playground): modular worklet base-class loading + live matrix display
Two fixes for Modular mode:

1. faust-worklet-processor.js: explicitly attach FaustWorkletProcessor
   to globalThis. Class declarations at the top of a classic script are
   lexically scoped to that script's evaluation context and do not
   propagate across separate addModule() calls, so the base class was
   invisible to subclass processors when they loaded in AudioWorklet-
   GlobalScope. Symptom: "FaustWorkletProcessor is not defined" at the
   extends clause of modular-subtractive-processor.js.

2. modular-ui.js + a-app.js: wire live matrix cell updates. Phase C
   wired matrix cells for writes (click cycles, precise editor) but
   not for reads — the MLP-driven values never propagated to the DOM.
   modular-ui now exposes updateLive(outputs), called from routeOutputs
   on every inference tick. Throttled to ~20 fps internally to avoid
   DOM thrashing. Only visible sources (within adsrCount/lfoCount) are
   updated; muted slots stay dark.
2026-04-11 08:08:29 +02:00
.beads fix(playground): resize canvas when switching output modes in Design B (meml-2c3) 2026-03-22 01:07:52 +02:00
.claude/worktrees/agent-ae87fe47/playground/js/shapeseq hello come back to me 2026-03-30 17:05:45 +03:00
.github/workflows feat(playground): add OSC output bridge for external synth control 2026-03-25 11:55:58 +02:00
.vscode memlnautmodes, channelstrip 2025-11-19 15:17:37 +00:00
data view order 2025-11-04 17:35:24 +00:00
modes verbfx freeverb 2026-03-18 16:29:54 +00:00
nisps-core feat(nisps-core,wasm): add per-sample weights to MLP training 2026-04-02 20:35:24 +01:00
playground fix(playground): modular worklet base-class loading + live matrix display 2026-04-11 08:08:29 +02:00
src memlib 2026-03-18 16:30:19 +00:00
tests/e2e feat(playground): add Modular audio mode with shared mod pool 2026-04-11 07:34:41 +02:00
vcv fix(vcv): resolve 6 critical thread safety issues from code review 2026-03-28 02:02:11 +02:00
voicespaces bypass toggle colours 2025-12-10 17:35:48 +00:00
.gitignore feat(playground): add Modular audio mode with shared mod pool 2026-04-11 07:34:41 +02:00
.gitmodules Changed gitmodules to https 2025-04-29 10:21:43 +01:00
AGENTS.md fix(beads): use independent MEMLNaut-NISPS database, separate from shared beads_src 2026-03-04 23:45:35 +00:00
ChannelStripAudioApp.hpp stereo channel strip 2026-01-13 08:23:01 +00:00
CLAUDE.md docs: update CLAUDE.md with WASM engine architecture, testing, and debug probe 2026-04-03 17:40:12 +01:00
IMLInterface.hpp speed optim, no clicking 2025-05-07 23:58:06 +01:00
LICENSE Initial commit 2025-04-10 14:17:18 +01:00
MEMLNaut-NISPS.ino verbfx freeverb 2026-03-18 16:29:54 +00:00
NISPS_CORE_EXTRACTION_PLAN.md fix: audit and fix nisps-core extraction issues 2026-02-08 18:01:48 +01:00
NISPS_CORE_TASKS.md add nisps-core extraction task graph 2026-02-08 17:03:40 +01:00
package-lock.json feat(playground): add Modular audio mode with shared mod pool 2026-04-11 07:34:41 +02:00
package.json feat(tests): add Playwright e2e suite + debug probe for a-immersive 2026-04-03 16:38:04 +01:00
PAFSynthAudioApp.hpp memlnautmodes, channelstrip 2025-11-19 15:17:37 +00:00
playwright.config.js feat(tests): add Playwright e2e suite + debug probe for a-immersive 2026-04-03 16:38:04 +01:00
README.md playground: add expandable visual mode and docs 2026-02-14 08:47:47 +00:00
ThruAudioApp.hpp refactoring interface into modes 2025-11-24 11:29:33 +00:00
XiasriAnalysis.cpp xiasri latest, and channel strip changes for 4D input 2025-12-10 16:40:00 +00:00
XiasriAnalysis.hpp refactoring interface into modes 2025-11-24 11:29:33 +00:00
XIASRIAudioApp.hpp xiasri latest, and channel strip changes for 4D input 2025-12-10 16:40:00 +00:00

Neural Interactive Shaping of Parameter Spaces

https://musicallyembodiedml.github.io/memlnaut/approaches/nisps

Web Playground

Try NISPS in your browser — no hardware required:

cd playground
python3 -m http.server
# Open http://localhost:8000

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.

The playground UI includes an Expand toggle on the visual surface so you can make the canvas nearly full-screen while compressing parameter/control panels into a minimal strip beneath it.