Lightweight feature selection package in Julia

A Julia package for Stochastic Block Models

Backend-agnostic differentiation with symbolic pass-through in Julia.

Univariate density estimation via Bernstein polynomials; able to model explicit combinatorial shape constraints.

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Extension of Distributions.jl allows specifying distributions by aggregate statistics #1296

A package for Hidden Markov Models with exogenous control variables.

Small wrapper for quadrature code and Distributions.jl

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HYMOD model implementation in Julia

Simulate Machine Learning-based Business Processes in Julia

Analyzing ranked/ordinal preference data.

Specification and efficient samplers for several random matrix distributions, focusing on spiked models in real-valued data.

Forecast evaluation procedures for time-series data

Offline POMDP solver computing an upper bound of the value function in a discretized belief space.

Additional algorithms for the SimplePoset type.

Fitting astrophysical star formation histories via CMD modelling.

Functions and workflows for the analysis of microbiome data.

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

Bayesian inference for Discrete state-space Partially Observed Markov Processes in Julia. See the docs:

A Julia package for Empirical Mode Decomposition.

Geostatistical processes for the GeoStats.jl framework

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Computational models of algorithmic competition

Bayesian Integration of functions

Alpha status - not ready for use

Exact simulation of the Wright--Fisher diffusion

Multimodal datasets for Machine-Learning

Developer tools for the GeoStats.jl framework

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Container type for convenient calculations with logspace probabilities

Computes Cross Correlation Functions (CCFs) with RvSpectML

Invariant Causal Prediction in pure Julia

Graphical/statistical plotting GUI package for quick data visualisation and exploration.

Basic functionality for EarthSciML system

Benchmark BLAS libraries on GPUs

A Julia package for Generative Topographic Mapping

This repository is a Julia Meta analysis package

An implementation of Feynman's variational path integral technique, written in Julia, for the determination of phenomenological properties of the electron in electronic materials.