A General Approach to Seismic Inversion Problems using Automatic Differentiation

Julia package for solving singular integral equations

Conic Augmented Lagrangian Interior-Point SOlver

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

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

Choo-choo

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

Julia Kubernetes Client

Dithering algorithms in Julia.

Automated Bayesian model discovery for time series data

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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.

Compositional data analysis 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.

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

Julia framework for spatial ecology - data types and utilities

Nonlinear optical pulse propagator

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

A high functioning package detective.

Economic modeling in Julia

Expectation operators for Distributions.jl objects

Symbolic planners for problems and domains specified in PDDL.

A bunch of fast text parsing tools

Support package for doing Calculus with Julia

Algorithmic trading and backtesting framework in pure julia

Distributed Data Parallel Training of Deep Neural Networks

Financial derivatives modeling and pricing in Julia.

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

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

Plotting and interface tools for biology.

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.

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

Discrete event generation and simulation in Julia

Robust and optimal design and analysis of linear control systems

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

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

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