A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Bayesian Generalized Linear models using `@formula` syntax.

Makie package to plot maptiles from various map providers

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Generalized mean-field equations in open quantum systems

Inline graphics in the REPL using Sixel

Turing + Makie = Turkie

Taylor-mode automatic differentiation for higher-order derivatives

Creating QR Codes within Julia

Global glacier model using Universal Differential Equations for climate-glacier interactions

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Integrated Assessment Modeling Framework

A Julia REPL mode for SQL

Fast matrix multiplication and division for Toeplitz matrices in Julia

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

An open-source framework written in Julia for global integrated assessment models.

Building dynamical systems compositionally

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Base functionality library for QuantumOptics.jl

A collection of tools for chemometrics and machine learning written in Julia.

A package for Gaussian random field generation in Julia

Visualization for Flux.Chain neural networks

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition

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Flexible and efficient persistent homology computation.

Rigorous function approximation using Taylor models in Julia

Read R data files from Julia

An open source model predictive control package for Julia.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Julia package for solving singular integral equations

Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Conic Augmented Lagrangian Interior-Point SOlver

Choo-choo