Solve Fractional Differential Equations using high performance numerical methods
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Updated
Oct 26, 2024 - Julia
Solve Fractional Differential Equations using high performance numerical methods
Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
Julia package to generate, estimate, and forecast long memory processes
Tools for fractional differentiation of time series with pandas dataframes.
Fractional differentiation as numpy function
Fractional Differencing Modeling and Application of Natural Language Processing in order to forecast Dow Jones INDEX closing price
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