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Sole interface for trees trained via JuliaAI/DecisionTree.jl.

Parameter estimation under uncertainty.

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Modal decision trees, but it's sequential covering.

Differentiable tree-based models for tabular data

Multimodal datasets for Machine-Learning

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

Representing machine learning models using mathematical programming

Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

Julia Package for Active Inference

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Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Generate nice reports from MCMC-based approximations

Automatic partitions of state space from a dynamical system

Bayesian Safety Signal Detection in Julia

Adds support for parallelization for Taija packages.

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

A flexible toolkit for simulation based inference in Julia

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

Implementation of Arxiv:2212.08549 in Julia

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

A package for plotting custom symbols from Taija packages.

Connecting MLJ and MLFlow

Statistical analyses for Bayesian workflows

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

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

Measures (metrics) for statistics and machine learning

A Julia package for building production-ready measures (metrics) for statistics and machine learning

Tiny Gibbs sampler making use of AbstractMCMC.jl and MCMCChains.jl

Advanced exports management for AutomationLabs.jl

A simple interface for defining, training, and deploying MDNs.

A package for Joint Energy Models and Energy-Based Models in Julia.

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Time Series Classification algorithms in Julia - Bachelor thesis project

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.

High level functions for analyzing the output of simulations