An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

Julia Toolkit with fairness metrics and bias mitigation algorithms

Interpretable Machine Learning via Rule Extraction

Effortlessly uncover and label thematic insights in large document collections using the power of Large Language Models and Julia Language

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities

A Julia toolbox with resampling methods to correct for class imbalance.

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

The Julia implementation of the generalised hierarchical Gaussian filter

Differentiable tree-based models for tabular data

Graphical tools for Bayesian inference and posterior predictive checks

An implementation of PSIS algorithms in Julia.

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WIP: Wrapper package for the sample method in Stan's cmdstan executable.

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

Julia package for using Jags as an external program

Representing machine learning models using mathematical programming

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

A flexible toolkit for simulation based inference in Julia

A Julia package for Differential Evolution MCMC

Persistence Diagrams in Julia

MLJ Interface for ScikitLearn.jl

Geostatistical clustering methods for the GeoStats.jl framework

Symbolic modeling in Julia!

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

A an MLJ extension for accessing models and tools related to text analysis

Julia wrapper of the python library CatBoost for boosted decision trees

Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!

A Julia package for behavioural modeling

Implementation of Arxiv:2212.08549 in Julia

Manage unstructured and multimodal datasets!

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Linear models

A package for wrapping iterative MLJ models in a control strategy

MLJ.jl interface for JLBoost.jl

MLJ.jl interface for JLBoost.jl