Climate science package for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Large-scale, distributed, sparse linear algebra in Julia.

Create a beautiful landing page for your package in less than 10 minutes.

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

Hydrological modeling

Sum of Squares Programming for Julia

PortAudio wrapper for the Julia programming language, compatible with the JuliaAudio family of packages

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Evaluating Robustness of Neural Networks with Mixed Integer Programming

A package for time series data processing, classification, clustering, and prediction.

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Julia package for the construction of quantum lattice systems.

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Graph and Network algorithms in Julia

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Word cloud generator in julia

Utilities and abstractions for Machine Learning tasks

Readily pin Julia threads to CPU-threads

Exploratory analysis of Bayesian models with Julia

Starter kit for legendary models

Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.

Package for dynamical modeling of power grids

Transforms and pipelines with tabular data in Julia

Parallel distributed-memory version of Gridap

Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants

Utility package for generating, loading, splitting, and processing Machine Learning datasets

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.

MagNav: airborne Magnetic anomaly Navigation

3D computer vision library in Julia

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

MADS: Model Analysis & Decision Support

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Yet Another XArray-like Julia package