Design of Experiments in Julia

A unified interface for simulating and evaluating sequential sampling models in Julia.

Package for automotive simulation in julia

Quantum Optimal Control with Direct Collocation

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

The julia package for nonparametric density estimate and regression

Kohonen's self-organising maps for Julia

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

Boson sampling tools for Julia

Base package for the GeoStats.jl framework

Delay coordinates embeddings and optimizing them

Injecting statistical functions into any SQLite database in Julia

Familiar vectorized routines from R/Python/MATLAB, plus some more.

Causal Inference with Invariant Prediction

Project Management tools, with a particular focus on PERT charts

Fixed Point Acceleration for Julia

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

Probability bounds analysis in Julia

Geospatial tables compatible with the GeoStats.jl framework

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

Differential equation problem specifications and scientific machine learning for common financial models

Statistical bootstrap procedures for time-series data

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Extreme value analysis package for Julia

Naive Bayes classifier

Motif-based weighted spectral clustering in Python, R and Julia

Complex phase portraits for Julia.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

OpenMendel package for haplotyping and imputation

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

Geothermal Cloud for Machine Learning

A playground for evolutionary computation in Julia

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Builds conductance based neural networks iteratively, from ion channels and synapses

Tools for the Simulation and Execution of Quantum Annealing Algorithms

A Julia Package for Machine Learning on the Manifold of Positive Definite Matrices

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Kernel Density Estimate with product approximation using multiscale Gibbs sampling

A Julia package for computing processes related to plant ecophysiology and biophysics