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

Makie package to plot maptiles from various map providers

A simple tool for simulating trapped ion systems

Simulation and visualization of articulated rigid body systems in Julia

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

Graph plotting and drawing networks with Julia, using Luxor graphics

An extensible, practical and coherent algebra of query combinators

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

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

Econometrics in Julia

Turing + Makie = Turkie

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

Taylor-mode automatic differentiation for higher-order derivatives

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

Utilities for working with GeoJSON data in Julia

JSON3.jl + Tables.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Simple geographical vector interaction built on top of ArchGDAL

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

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

A Julia REPL mode for SQL

Let's focus on writing demos

Integrated Assessment Modeling Framework

Building dynamical systems compositionally

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

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

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

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

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

Base functionality library for QuantumOptics.jl

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

Visualization for Flux.Chain neural networks

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.

-

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

Flexible and efficient persistent homology computation.

Read R data files from Julia