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

Fractional differentiation as numpy function

Tools for fractional differentiation of time series with pandas dataframes.

Fractional Differencing Modeling and Application of Natural Language Processing in order to forecast Dow Jones INDEX closing price

A comparative analysis of MLP and CNN (GAF) models for time series forecasting on AAPL stock, exploring stationarity, log returns, and fractional differencing.

Long-Memory Echo State Networks (fESN, wESN) for time-series forecasting

Test the d-invariance hypothesis of the fixed-width fractional differencing operator across VIX-based volatility segmentation using a leakage-controlled research pipeline; methodology is public, proprietary information and raw data are excluded.