Choo-choo

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

Conic Augmented Lagrangian Interior-Point SOlver

Macros that simplify working with DataFrames.jl

Distributed Julia arrays using the MPI protocol

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

Automated Bayesian model discovery for time series data

Use Optim to train Flux models and visualize loss landscapes

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

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Julia framework for spatial ecology - data types and utilities

Julia wrapper for the performance monitoring and benchmarking suite LIKWID.

A high functioning package detective.

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

Nonlinear optical pulse propagator

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

Tools for mapping between Julia structs and 2D tabular data.

Plotting and interface tools for biology.

Distributed Data Parallel Training of Deep Neural Networks

Algorithmic trading and backtesting framework in pure julia

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

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

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Discrete event generation and simulation in Julia

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

Robust and optimal design and analysis of linear control systems

Flexible Image Transport System (FITS) file support for 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.

Segment-anything wrapped for Julia

Definition of dynamical systems and integrators for DynamicalSystems.jl

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

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Makie.jl recipes for visualization of Meshes.jl

I will look for you. I will find you. And I will print you. (If you're a Unicode glyph...)

Analysis of complex surveys

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

Julia library for standardizing financial data retrieval and storage from multiple APIs.