A lightweight, efficient package for simulating stochastic processes on various domains.

Package to simulate the operation of Storage Systems

Stability Tools for Threshold Vector Autoregressive Models

Read TIFF datasets with a similar API than NetCDF files

Immutable timestamped values

Value-at-Risk for Julia

Julia Package for Active Inference

Interpolation between areas (polygons) in Julia

Load and save ARFF files

Official Implementation of Context-Dependent Gene Regulatory Networks (CDGRNs)

Learning Chow-Liu Trees from data

Economic simulation tools

Robust package for preparing and analysing eye tracking data

Download FRED data in Julia.

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Implementation of the Gandhi, Navarro, Rievers (2020) production function estimator.

The J-Quants API wrapper for Julia

Modal decision trees, but it's sequential covering.

MQLib wrapper for JuMP

A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

An uncertainty quantification toolbox for OpenGeoSys 6

Statistical analyses for Bayesian workflows

Julia package for performing tensor contractions on distributed machines

Visualization of model calibration

Reliability-based optimization

Bayesian Safety Signal Detection in Julia

Slice sampling algorithms in Julia

Data-driven models for extremely precise radial velocity (EPRV) spectra

Interface between Stopping.jl and other packages

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A repository for adaptive transport maps

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Pure Julia implementation of tools used in Coding Theory

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

A Julia package for people that love to learn new things about constraints

CoralBlox is a coral growth and mortality model that simulates distinct coral functional groups indirectly competing for a limited space over time. The model does not directly consider natural disturbances nor does it have representation of anthropogenic restoration and conservation activities such as coral seeding or cloud brightening.

Library for common tools for solving PDEs with finite difference methods (FDM), finite volume methods (FVM), finite element methods (FEM), and psuedospectral methods in a way that integrates with the SciML Scientific Mechine Learning ecosystem

Julia bindings for the Vega visualization grammar

Visualize your everysinglestreet challenge

Evidential Deep Learning Layers for Flux