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

Julia Kubernetes Client

[DEPRECATED in favor of https://github.com/JuliaData/Tables.jl] A fast, generic framework for transferring table-like data structures in Julia

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

Choo-choo

Conic Augmented Lagrangian Interior-Point SOlver

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

Macros that simplify working with DataFrames.jl

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

Automated Bayesian model discovery for time series data

Dithering algorithms in Julia.

Distributed Julia arrays using the MPI protocol

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Use Optim to train Flux models and visualize loss landscapes

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.

Compositional data analysis in Julia

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

Nonlinear optical pulse propagator

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

A high functioning package detective.

Julia framework for spatial ecology - data types and utilities

A bunch of fast text parsing tools

Support package for doing Calculus with Julia

Expectation operators for Distributions.jl objects

Economic modeling in Julia

Symbolic planners for problems and domains specified in PDDL.

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

Distributed Data Parallel Training of Deep Neural Networks

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Financial derivatives modeling and pricing in Julia.

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

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

Plotting and interface tools for biology.

Algorithmic trading and backtesting framework in pure 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.

Discrete event generation and simulation in Julia

Robust and optimal design and analysis of linear control systems

Differentiable trajectory optimization in Julia.