SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations

Spline interpolation for React Native animations

Digital Interpolation Techniques Applied to Digital Signal Processing

A collection of image filters, some especially suited to scale-up low res computer graphics.

Image interpolation implementation using pure python and compare result with Opencv.

The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"

Scattered Points Interpolation with Globally Smooth B-Spline Surface using Iterative Knot Insertion

An implementation of morphological contour interpolation

Collection of ImageFilters for Pixel Art resizing. (HQ, XBR, etc)

C++ version of qlibs, a collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...

🚀 InterpolatePy: A fast and precise Python library for production-ready trajectory planning, offering 20+ algorithms for C² continuous splines, jerk-limited S-curves, and quaternion interpolation for robotics, animation, and scientific computing.

📶 Python Scripts for the basics of Digital Signal Processing (DSP). Updating on a regular basis.

Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions

library of numerical methods using Armadillo

Interface to run Diva software tool (spatial interpolation).

Flattens photoed pages so they appear like scanned

Smoothing algorithm and interpolation tool using cubic Bézier splines - reproduces Excel's smooth scatter plot

Set of simple mathematical classes in C# (Vectors, Matrixes, Polynoms, Systems of linear equations, Integrals methods, Complex numbers, Rational numbers, Graphs, Methods for solving differential equations) + some features such as memoize (function values memorising)

A implementation of the modified akima interpolation in rust

GeoKrige is a Python package designed for spatial interpolation using Kriging Methods. While primarily tailored for geospatial analysis, it is equally applicable to other spatial analysis tasks.