Julia package for function approximation

Mathematical functions related to statistics.

A Julia package for fast discrete wavelet transforms and utilities

Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Julia bindings for the Intel Vector Math Library

A logarithmic number system for Julia.

String-like views of arbitrary Julia byte arrays

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.

Elliptic integral and Jacobi elliptic special functions

Fast "anonymous functions" for Julia

A collection of methods for manipulating various well-known types of basis functions and recombining them into more general dictionaries