GFD
achieve rapid stationary time series with lower memory loss
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achieve rapid stationary time series with lower memory loss
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This is a GPU implementation of fractional differencing (we call it GFD). It allows rapid large-scale implementation of fractional differencing to minimize memory loss while achieving stationary for time series data.
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Checkmarx Developer Assist for AI IDEs — Security linter for vibe coding: fix vulns as you build
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