-

Useful extensions of the POMDPs.jl interface

A convenient interface to perform 1D, 2D and 3D numerical integrations. Uses QuadGK.jl, Cuba.jl, HCubature.jl and FastGaussQuadrature.jl as back-ends.

Package for the Rigorous Computation of Invariant Measures

Jiffy image display for image reconstruction

Next Generation Genomic Prediction Tools

Confidence bands for simultaneous statistical inference

Modular tracking algorithm for various GNSS Systems

A collection of standard topology optimisation problems.

Extending `Distributions.jl` to include Landau Distribution based on CERN ROOT's implementation.

Searching methods and models for textual data; it was designed to work with SimilaritySearch.jl

Julia module for Detrended Cross-Correlation Analysis.

An NLPModels Interface to Knet

Color Quantization Algorithms in Julia

-

A computational toolbox for level set-based topology optimisation in Julia

Fast accurate creation, detection and analysis of quantum vortex distributions.

Tools for robot visualization in Julia.

A lightweight Consensus-Based Optimisation package for Julia

Tools for solving constrained dynamical systems

An implementation of the cross entropy method that works well for time series

-

Engineering, Economic, and Environmental Electricity Simulation Tool (E4ST)

Fast, minimal histogram algorithms.

Fast computation of local (Pearson) correlation coefficients for arbitrary size tensors of real and complex numbers.

Finite Element tools in Julia: Heat diffusion application

Built-in solvers for the GeoStats.jl framework

-

Prescribed flow models for testing cloud microphysics schemes.

Equilibrium marriage market models.

Repository implementing MLJ interface for MultivariateStats models.

-

A Julia package for kernel functions of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

Learning sparse Pauli noise using the population recovery algorithm.

Statistical inference for Poisson Processes

A package for obtaining the effective time-averaged Lindbladian.

Distributions for continuous variables

Robust SVD and PCA in Julia

Julia implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr

A Package for Estimating Stochastic Frontier Models using Julia