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

Trivial functions for working with coverage for packages locally.

Makie package to plot maptiles from various map providers

Tools for Julia package developers

Generalized mean-field equations in open quantum systems

Sequential Monte Carlo algorithm for approximation of posterior distributions.

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

An extensible, practical and coherent algebra of query combinators

Graph plotting and drawing networks with Julia, using Luxor graphics

Julia framework for energy system models with a focus on multi-period capacity expansion

Econometrics in Julia

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Taylor-mode automatic differentiation for higher-order derivatives

Turing + Makie = Turkie

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

Simple (Pluto-based) non-reactive notebooks for Julia

Utilities for working with GeoJSON data in Julia

JSON3.jl + Tables.jl

Simple geographical vector interaction built on top of ArchGDAL

A operator overloading, tape-based, reverse-mode AD

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A Julia package for high-throughput manipulation of structured signal data across arbitrary domain-specific encodings, file formats and storage layers

Let's focus on writing demos

A Julia REPL mode for SQL

Integrated Assessment Modeling Framework

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

Building dynamical systems compositionally

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

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

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

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

Visualization for Flux.Chain neural networks

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

Base functionality library for QuantumOptics.jl

Groebner bases in (almost) pure Julia

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

Flexible and efficient persistent homology computation.

-

Rigorous function approximation using Taylor models in 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)