Deepkit
The collaborative and analytical AI training suite
Deepkit launched on March 15, 2020 with 69 votes, #734 of 4,454 launches that month and more than 75% of that year's launches.
What it does
Deepkit is the first collaborative and analytical training suite for insightful, fast, and reproducible modern machine learning as desktop app. Track and execute AI experiments, debug models (TF/Pytorch), and manage computation servers in one app.
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I 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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