Distributed High-Performance Symbolic Regression in Julia

Bayesian inference with probabilistic programming.

Julia FFI interface to Microsoft's LightGBM package

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Modal decision trees, but it's sequential covering.

The Julia implementation of the generalised hierarchical Gaussian filter

A Julia package for behavioural modeling

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

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

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Exploratory analysis of Bayesian models with Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

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

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

A Julia machine learning framework

A package for discretizing trajectory data into a transition probability matrix using Ulam's method.

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

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Symbolic modeling in Julia!

Sole.jl – Long live transparent modeling!

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

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

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Statistical analyses for Bayesian workflows

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

Types and utility functions for summarizing Markov chain Monte Carlo simulations

An implementation of PSIS algorithms in Julia.

Bayesian Generalized Linear models using `@formula` syntax.

Stochastic Optimization, Learning, Uncertainty and Sampling

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

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A package for plotting custom symbols from Taija packages.

A package for wrapping iterative MLJ models in a control strategy

Fitting astrophysical star formation histories via CMD modelling.

Implementations of the models from the Statistical Rethinking book with Turing.jl

Optimally tuned ridge regression when features can be partitioned into groups.

A flexible toolkit for simulation based inference in Julia

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

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