Stars
Relax! Flux is the ML library that doesn't make you tensor
Bayesian inference with probabilistic programming.
A general-purpose probabilistic programming system with programmable inference
Forward Mode Automatic Differentiation for Julia
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Reverse Mode Automatic Differentiation for Julia
Surrogate modeling and optimization for scientific machine learning (SciML)
A toolbox for satellite analysis written in julia language.
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed t…
Fast jacobian computation through sparsity exploitation and matrix coloring
A Julia package for representing banded matrices
Julia interface to the Elemental linear algebra library.
A simple shared suite of common derivative definitions
A Julia package for representing block-banded matrices and banded-block-banded matrices
Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)