A Julia version of ABBA with parallel k-means implementation

A Julia package for behavioural modeling

Julia Package for Active Inference

Generalized linear models for cell-cell communication

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

A Julia package for modelling Algorithmic Recourse Dynamics.

[WIP] Wrapper package for simulation and bayesian inference of behavioral models

Exploratory analysis of Bayesian models with Julia

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A powerful, no code solution for control and systems engineering

Warehouse for dynamical systems identification and control

Advanced exports management for AutomationLabs.jl

Dynamical systems identification

Repository for the BarBay Julia package for Bayesian inference of relative fitness on barcode sequencing data.

This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Bayesian addition to Flux.jl

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Bayesian quantile regression in Julia

Sampling library for Baytes modules

Plotting and inference utilities for Baytes.jl output.

Beta Machine Learning Toolkit

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia wrapper of the python library CatBoost for boosted decision trees

Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

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Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Stan only version of DiffEqBayes.jl

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

A Julia package for Differential Evolution MCMC

Distributed, static topic/word LDA

Examples for Bayesian inference using DynamicHMC.jl and related packages.

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

High level functions for analyzing the output of simulations

Empirical Bayes shrinkage in Julia