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

Julia Kubernetes Client

Choo-choo

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

Import, process and interpret geophysical data sets to be used in numerical models.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Use Optim to train Flux models and visualize loss landscapes

Compositional data analysis in Julia

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

A high functioning package detective.

Nonlinear optical pulse propagator

Julia framework for spatial ecology - data types and utilities

Support package for doing Calculus with Julia

A bunch of fast text parsing tools

Economic modeling in Julia

A Julia package for the Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain

Plotting and interface tools for biology.

Algorithmic trading and backtesting framework in pure julia

Differentiable trajectory optimization in Julia.

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Robust and optimal design and analysis of linear control systems

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Makie.jl recipes for visualization of Meshes.jl

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Definition of dynamical systems and integrators for DynamicalSystems.jl

Boundary Element Analysis and Simulation Toolkit

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

A Julia package for solving nonlinear differential equations using the harmonic balance method.

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

Ambient Noise Cross-Correlation in Julia

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The automatically differentiable and GPU-compatible toolkit for CMB analysis.

A foolproof way of doing ML with GUI elements.

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Simple geographical raster interaction built on top of ArchGDAL, GDAL and CoordinateTransformations

A client interface to read from and write to the TypeDB Knowledge Graph

Healpix library written in Julia

Trajectory Optimization for Robot Arms

Julia package towards classical molecular modeling of nanoporous materials

GPU integrations for Dagger.jl