Inverse distance estimation solver for the GeoStats.jl framework

Simulate Machine Learning-based Business Processes in Julia

A lightweight Julia package for eQTL genome scans near real-time.

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An interface package that defines the methods and types for working with models.

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[WIP] Random Fourier Feature approximations for KernelFunctions.jl

Non-critical functions for SeaPearl

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

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Computational models of algorithmic competition

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

Benchmark BLAS libraries on GPUs

An implementation of the BSDESPOT (Better Selection DESPOT) online POMDP Solver. BSDESPOT is a variation of DESPOT. It provides action branch selection based on upper and lower bounds, and multi-observation branches selection.

Estimation of calibration errors using Distributions.jl

Alpha status - not ready for use

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

Exact simulation of the Wright--Fisher diffusion

Lightweight feature selection package in Julia

Invariant Causal Prediction in pure Julia

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Calculate measures for Discriminative Lexicon models developed with JudiLing.

MulticlassPerceptron.jl

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Analyzing ranked/ordinal preference data.

A simple method to simulate Genotyping-by-Sequencing (GBS) data.

🌱 example of DSSAT-like crop model written in Cropbox

Plant level model for a simple soil-plant-air continuum

Package that defines commonly used spectral densities for Open Quantum Systems.

A Julia package for Stochastic Block Models

Analytic neural networks based on Symbolics.jl

Simulate phenotypes from any GLM model

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A collection of background subtraction algorithms for spectroscopic data

A Julia package for Bayesian quantum state tomography

Combines CoherentNoise.jl and ImageTransformations.jl to produce interesting image results.

A package for Hidden Markov Models with exogenous control variables.

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

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