The julia package for nonparametric density estimate and regression

A component library based on ModelingToolkit

Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.

Pruning framework and methods for Flux

Design of Experiments in Julia

A package for representing quasi arrays with continuous indices

A Julia package for Aeroacoustics

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

Package for automotive simulation in julia

Boson sampling tools for Julia

Delay coordinates embeddings and optimizing them

Pseudo-transient accelerated iterative solvers

Injecting statistical functions into any SQLite database in Julia

Kohonen's self-organising maps for Julia

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Fast operator-overloading Jacobian & Hessian sparsity detection.

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Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

Base package for the GeoStats.jl framework

A playground for Wannier functions

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

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

Complex phase portraits for Julia.

Statistical bootstrap procedures for time-series data

Causal Inference with Invariant Prediction

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

Extreme value analysis package for Julia

Geospatial tables compatible with the GeoStats.jl framework

Project Management tools, with a particular focus on PERT charts

Probability bounds analysis in Julia

Fixed Point Acceleration for Julia

Three-dimensional panel method for low-speed aerodynamics

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

Naive Bayes classifier

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

ClimaCoupler: bringing atmosphere, land, and ocean together

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

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

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

Common types and interfaces for probabilistic programming