Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Automated Bayesian model discovery for time series data

Dithering algorithms in Julia.

Use Optim to train Flux models and visualize loss landscapes

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Compositional data analysis in Julia

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.

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

Julia framework for spatial ecology - data types and utilities

Nonlinear optical pulse propagator

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

A high functioning package detective.

Economic modeling in Julia

Support package for doing Calculus with Julia

Symbolic planners for problems and domains specified in PDDL.

A bunch of fast text parsing tools

Expectation operators for Distributions.jl objects

A useful tool on the road to reality. Read the documentation on the website.

Financial derivatives modeling and pricing in Julia.

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Distributed Data Parallel Training of Deep Neural Networks

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

Algorithmic trading and backtesting framework in pure julia

Plotting and interface tools for biology.

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Differentiable trajectory optimization in Julia.

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Discrete event generation and simulation in Julia

Discrete event generation and simulation 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

Makie.jl recipes for visualization of Meshes.jl

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

Boundary Element Analysis and Simulation Toolkit

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Definition of dynamical systems and integrators for DynamicalSystems.jl

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

Dense and Sparse Least Squares Optimization

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

Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation for Julia.