memlnaut-nisps

w1n5t0n/memlnaut-nisps

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Author	SHA1	Message	Date
w1n5t0n	9dfa1429d0	docs(vcv): address spec gaps from fresh-eyes review - Fix licensing: nisps-core is MPL-2.0, VCV SDK is GPLv3 - Fix VCV Rack 2 description: Community Edition is free, Pro is paid - Add Phase 0: port spread-aware drawWeights/moveWeights to nisps-core C++ - Detail threading model: two MLP instances, atomic swap flag, memory cost - Add configurable output slew (default 10ms) for post-training crossfade - Add input signal handling: mono channel 0, hard-clamp out-of-range CV - Add .nisps file format version field for forward compatibility - Document dataset capacity (100 max, FIFO forgetting) - Specify novelty/confidence computation strategy (training thread, cached grid) - Add open questions: novelty grid scaling, C++20 toolchain, expander protocol	2026-03-25 12:25:21 +02:00
w1n5t0n	412782ed0e	docs(vcv): add VCV Rack module specification Full spec for MEMLNaut VCV Rack module based on interview: - 2-8 configurable CV inputs, 12 raw + 5 derived CV outputs - RL feedback via panel buttons + CV triggers with learn gate guard - nisps-core C++ engine with background thread training - User-configurable inference rate (block to audio rate) - Bidirectional state transfer with companion webapp (file + OSC) - 10-phase development plan from skeleton to distribution	2026-03-25 12:17:24 +02:00

Author

SHA1

Message

Date

w1n5t0n

9dfa1429d0

docs(vcv): address spec gaps from fresh-eyes review

- Fix licensing: nisps-core is MPL-2.0, VCV SDK is GPLv3
- Fix VCV Rack 2 description: Community Edition is free, Pro is paid
- Add Phase 0: port spread-aware drawWeights/moveWeights to nisps-core C++
- Detail threading model: two MLP instances, atomic swap flag, memory cost
- Add configurable output slew (default 10ms) for post-training crossfade
- Add input signal handling: mono channel 0, hard-clamp out-of-range CV
- Add .nisps file format version field for forward compatibility
- Document dataset capacity (100 max, FIFO forgetting)
- Specify novelty/confidence computation strategy (training thread, cached grid)
- Add open questions: novelty grid scaling, C++20 toolchain, expander protocol

2026-03-25 12:25:21 +02:00

w1n5t0n

412782ed0e

docs(vcv): add VCV Rack module specification

Full spec for MEMLNaut VCV Rack module based on interview:
- 2-8 configurable CV inputs, 12 raw + 5 derived CV outputs
- RL feedback via panel buttons + CV triggers with learn gate guard
- nisps-core C++ engine with background thread training
- User-configurable inference rate (block to audio rate)
- Bidirectional state transfer with companion webapp (file + OSC)
- 10-phase development plan from skeleton to distribution

2026-03-25 12:17:24 +02:00

2 commits