Package for automotive simulation in julia

Design of Experiments in Julia

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

Quantum Optimal Control with Direct Collocation

Injecting statistical functions into any SQLite database in Julia

Boson sampling tools for Julia

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

Kohonen's self-organising maps for Julia

Delay coordinates embeddings and optimizing them

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

Base package for the GeoStats.jl framework

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

Causal Inference with Invariant Prediction

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

Extreme value analysis package for Julia

Fixed Point Acceleration for Julia

Naive Bayes classifier

Geospatial tables compatible with the GeoStats.jl framework

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

Project Management tools, with a particular focus on PERT charts

Statistical bootstrap procedures for time-series data

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

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

Probability bounds analysis in Julia

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

Complex phase portraits for Julia.

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

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

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

Tools for the Simulation and Execution of Quantum Annealing Algorithms

OpenMendel package for haplotyping and imputation

Geothermal Cloud for Machine Learning

A playground for evolutionary computation in Julia

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

Kernel Density Estimate with product approximation using multiscale Gibbs sampling

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

Julia MathML parser

A tool to solve optimal control problem

Random Integrators for many-body quantum systems