Julia wrapper for Devito functionality. Part of the COFII framework.

A Keras-like experimental Deep Learning framework in Julia 1.6

A tool for the combination and EFT interpretation of measurements in Julia

Toolbox for the electron gas problem

Linear models

FMIBuild.jl holds dependencies that are required to compile and zip a Functional Mock-Up Unit (FMU) compliant to the FMI-standard (fmi-standard.org). Because this dependencies should not be part of the compiled FMU, they are out-sourced into this package. FMIBuild.jl provides the build-commands for the Julia package FMIExport.jl.

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Gradient Ascent Pulse Engineering in Julia

Provides Pardiso solvers to the Gridap project

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Julia API for Intan RHD2000

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Particle-in-Cell advection

Kite and tether models for the simulation of kite power systems

Linear segmented regression

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Julia package for plotting results from GWAS

Basic wrapper to allow logging to MLFlow from Julia

A package for wrapping iterative MLJ models in a control strategy

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Structures and algorithms for Multi-Agent PathFinding in Julia

Julia Package for detecting multivariate anomalies.

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Julia package for the Napari multi-dimensional image viewer

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

A Julia package for mapping qualitative data patterns to regions of a model's parameter space.

Partitioned derivatives storage and partitioned quasi-Newton updates

'Pareto optimal' package recommendations for your current dependencies.

LP and MILP relaxation sequences for univariate functions

Modular random feature approximation in Julia

A Julia implementation of the RAM algorithm (Vihola, 2012)

Julia implementation of some common SPH kernels

Framework for symmetric tensors

Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA

TreeKnit is a package that infers Ancestral Reassortment Graphs for segmented genomes (typically, human influenza).

Vecchia approximations for Gaussian log-likelihoods

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Weighted version of OnlineStats.jl

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.