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@jbentvelsen jbentvelsen released this 17 Aug 12:19
· 168 commits to main since this release
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The first release of the MATLAB implementation of the DeepInterpolation general-purpose algorithm, used to denoise data by removing independent noise. This first release implements four key workflow examples, which are analogues of those from the reference implementation by the Allen instutute.

The examples, implemented as live scripts, are:

  • Inference with ephys (optical physiology) data
  • Inference with ophys (electrophysiology) data
  • Training (and subsequent inference) with ephys data
  • Training (and subsequent inference) with ophys data

Pre-trained networks and sample data are provided for each example