Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
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Updated
May 26, 2024 - Python
Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.
Machine learning and data analysis package implemented in JavaScript and its online demo.
UI Soft Mask is a smooth masking component for Unity UI (uGUI) elements.
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well as efficient gradient rules for computing gradients of required quantities (such as the pseudo-loglikelihood of the system).
A Modern Fortran translation of the FITPACK package for curve and surface fitting
Locally-weighted polynomial regression via the LOWESS algorithm.
Anisotropic smoothing for change-point regression data
CSS superellipse masks using the Houdini API
Baseline correction, smoothing, processing and plotting of Raman spectra
A C++ library for physics-informed spatial and functional data analysis over complex domains.
Tools for spatio-temporal disaggregation of multivariate time-series with smoothing and regression-based methods
Functional Data Analysis Python package
Apply Bayesian statistics through DLM to smooth a 4-gram frequency series
Cubic spline approximation (smoothing)
C++ version of qlibs, a collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...
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