Standalone tools built from my research — not one-off demos, but full working software you can use on your own data. Each one is its own self-contained project with its own documentation; click through and it opens as its own site.
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Fit General Recognition Theory models to identification data in milliseconds, with calibrated uncertainty — a neural-network amortization of the maximum likelihood approach, validated against it directly.