Grid Music Midi Player
Play Piano & 36+ Instruments in perfect scale!
Grid Music Midi Player launched on August 17, 2026 with 2 votes, #5,788 of 23,274 launches that month.
What it does
Discover Grid Music Midi Player for iPhone & iPad. Play over 36 instruments, connect to Ableton Live, create MIDI controllers, learn scales, and perform with a unique 64-pad layout. Grid Music Midi Player contains four major components: - Grid Music Midi Player - Grid MIDI Controller - Scale Finder - Song Key Finder You can connect your iPhone or iPad to your Macbook, enable Midi on your Macbook and start playing VST instruments in perfect scale with this 64 Grid Pad Midi Player.
Download Grid Music Midi Player by Mohit Khanna on the App Store. See screenshots, ratings and reviews, user tips and more games like Grid Music Midi Player.
₹ 199 · In-App Purchases · Designed for iPad. Not verified for macOS. updated ads. To view the full detail of an ad in the ads list, just tap and hold on the ad in the ad list. Added text overlay of key values over the pads. Toggle the key display with the note icon on the toolbar below the Grid layout. Fixed minor bug. fixed Soundfont library. The sound fonts were not loading properly in previous version. Fixed Instrument download screen. The instruments are now downloadable. Minor fixes. To help you better understand the developer’s responses, see Privacy Definitions and Examples . Privacy practices may vary based, for example, on the features you use or your age. Learn More Privacy…from apps.apple.com
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I trained a 125M model to autocomplete piano on-deviceAug 2026 · simedw.com · ▲598I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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