Implement different KL Divergences analytically or by sampling

Geostatistical functions for the GeoStats.jl framework

3D viewer for airborne wind energy systems

A JuMP extension for conducting flexibility analysis.

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Geostatistical Inversion

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Sole interface for trees trained via JuliaAI/DecisionTree.jl.

Matrix Product Belief Propagation

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Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"

QSO spectral fitting made easy!

Distributions and Sampleables with keys for the variates

Algorithms for solving the quadratic assignment problem (QAP) implemented in Julia.

Analysis of Gaussian models on phylogenetic networks using belief propagation (aka message passing)

Julia package for automating phylogenetic factor analysis model selection

Phylogenetic simulation and inference in Julia

Support for reading MetaImage files in Julia

An implementation of quantile regression for Julia modeled after the R quantreg package.

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

A MOI/JuMP interface for `LocalSearchSolvers.jl`, a Constraint-Based Local Search (CBLS) framework

A toolbox for air-water vapor psychrometrics for Julia

Load fasta files that contain DNA strings and process it for other downstream tasks

Statistical Process Monitoring in Julia

A Collection of Quadrature Rules in Julia

Models of gas-phase atmospheric chemistry and related processes

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Dependency aware feature selection

F-1 method

Statistical learning models for tabular data

Dyadic kernel density estimation in Julia

Schedule synthesizers!

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Seismic reconstruction tools for SeismicJulia project

Julia package for numerical sensitivity analysis.

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Provides daily hazard rate tables from census dataset for several countries.

Modules to analyse ocean model output or observational data that are saved as Raster data structures.

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This is an ODE solver that implements the quantized state system methods: An approach that builds the solution by updating the system variables independently.