Comparing performance and results of mcmc options using Julia

TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration

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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

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

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

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

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

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

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.

Julia package for using Jags as an external program

Representing machine learning models using mathematical programming

Implementation of the MLJ scientific type convention

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

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

A flexible toolkit for simulation based inference in Julia

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

Measures (metrics) for statistics and machine learning

A Julia package for Differential Evolution MCMC

Persistence Diagrams in Julia

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

Symbolic modeling in Julia!

Geostatistical clustering methods for the GeoStats.jl framework

MLJ Interface for ScikitLearn.jl

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

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

Manage unstructured and multimodal datasets!

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Julia wrapper of the python library CatBoost for boosted decision trees

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