An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…

Optimization functions for Julia

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

A data structure for mathematical optimization problems

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Abstract types and methods for Gaussian Processes.

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots

Passive tracer dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Solves the Brusselator equation

Pseudospectral solvers for various wave equations and oscillatory fluid flows