DDC is a discrete domain computation library.

Evenly spaced piecewise linear interpolation of functions represented using symbols in Python

Times Series, Classification-label/image, Regression

High-order unstructured mesh representation and discrete function spaces

Python Simulation Tool for Fractured and Deformable Porous Media

A gh-pages site to host SWC style training materials for various HPC math packages

Kernel density integral transformation: feature preprocessing and univariate clustering

Operator Discretization Library https://odlgroup.github.io/odl/

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

Generate complex two-dimensional geometries for simulations based on mesh discretizations.

Various Problems in Digital Control Systems

Discretization of Normal random variables and simulations

Built a voice-controlled car from scratch incorporating machine learning methods such as the Euclidean Classifier and k-NN Classifier, open and closed loop feedback control systems, principal component analysis, regression analysis, and transient analysis

Voronoi diagrams in N dimensions using an improved raycasting method.

Java implementation of SAX, HOT-SAX, and EMMA

Discretization of n-dimensional space that adapts on a given distribution

glmdisc Python package: discretization, factor level grouping, interaction discovery for logistic regression

Pre-processing AutoML Component for classification tasks in KNIME.

Time Series Tokenizer inspired by Symbolic Aggregate approXimation (SAX) for seamlessly training LLMs with time-series data.

A static C++ library for the generation of discrete functions on a box-shaped domain. This is especially suited for the discretization of signed distance fields.