Optimization functions for Julia
A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
A documentation generator for Julia.
Physical quantities with arbitrary units
Fast, continuous interpolation of discrete datasets in Julia
Visualization of Julia profiling data
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Base package for defining transformation recipes on user types for Plots.jl
Load and create NetCDF files in Julia
Julia implementations of multidimensional array convolution and nonlinear stencil operations
A Julia package for representing block-banded matrices and banded-block-banded matrices
Julia implementation of HyperDualNumbers
DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
Generic helper algorithms for building plotting components
Julia math built-ins which return NaN and accumulator functions which ignore NaN
Base package for the GeoStats.jl framework
Inverse distance estimation solver for the GeoStats.jl framework
U.S. customary units for Unitful
A little Julia module to allow factorization and backslash to work with dual-valued arrays and sparse arrays.
A little Julia module to allow factorization and backslash to work with hyperdual-valued arrays and sparse arrays.
Inpaint "missing", "NaN", or other values in arrays with different methods