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

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

Wigner d and D matrices following Feng (2015)

Weighted version of OnlineStats.jl

Toolbox for the electron gas problem

Various tools to process financial time series

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A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA)

Differentiable constraint-based metabolic models

Easily fetch biological sequences from online sources

Simple REPL calendar

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Coordinate and Incremental Aggregated Optimization Algorithms

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

Toolkit for extraction and analysis of typhoon/climate data in the Western-North Pacific (WNP) region

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A collection of data tranformers and plugins

Julia wrapper for Acoustics Toolbox (Bellhop, Kraken, ...)

Dolo modeling language

Linear models

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IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.

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

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Next generation permafrost process modeling in the Julia programming language.

Variography for the GeoStats.jl framework

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Differentiable 2d rasterizer in Julia

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.

Tophats at ludicrous speeds.

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

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Julia API for Intan RHD2000

A minimal implementation of bezier curves in julia

Optimal experimental design of ODE and DAE systems in julia

Framework for symmetric tensors

An interactive explorer for flow cytometry data

Simulation modelling of crop diseases using a Healthy-Latent-Infectious-Postinfectious (HLIP) model in Julia