A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

Benchmark BLAS Libraries

Julia implementations of coding-theoretic sparse Walsh-Hadamard and Fourier transforms

A few extra distributions used in survival analysis

A dynamically-structured matrix population model

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Create grid mazes

Point patterns for the GeoStats.jl framework

Statistical analyses for Bayesian workflows

Julia code for computing monetary measures of risk, coherent or not

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

Bayesian Safety Signal Detection in Julia

Julia package of a fractional delay filter

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A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

Calculation and uniform sampling of minimum-volume enclosing ellipsoids

POMDPs.jl-compatible interface for defining MDPs and POMDPs with finite horizons

Visualize your everysinglestreet challenge

Test Cases for Regularized Optimization

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Reliability-based optimization

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

More zeros than you can shake a stick at

Algorithm for motif detection in Categorical time-series.

A repository for adaptive transport maps

Official Implementation of Context-Dependent Gene Regulatory Networks (CDGRNs)

Modal decision trees, but it's sequential covering.

Slice sampling algorithms in Julia

DecomposingPolynomialSystems.jl is a Julia package that decomposes (simplifies) a given polynomial system using tools from numerical algebraic geometry.

Manifolds for the natural parameters of members of the exponential family of distributions

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Population dynamics across space, in Julia.

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Linear mixed model genome scans for many traits

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A Julia package for building, and running Biochemical Systems Theory (BST) models

Package for solving generalized BdG mean field theory of interacting systems.

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

Image analysis and stochastic processes on shape and landmark spaces.