Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Play atmospheric modelling like it's LEGO.

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.

Creating QR Codes within 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.

A Julia machine learning framework

Repository of best practices for deep learning in Julia, inspired by fastai

One stop solutions for all things optimization

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

High performance hybrid Monte Carlo simulation

Unicode-based scientific plotting for working in the terminal

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A package for plotting custom symbols from Taija packages.

A package for wrapping iterative MLJ models in a control strategy

Inspecting GPUs with Julia

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

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

Interpretable Machine Learning via Rule Extraction

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Basic structures for finite elements based on ExtendableGrids infrastructure

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

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

Home of the MLJ model registry and tools for model queries and mode code loading

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

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

A Julia implementation of PRONTO

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Businees functions for life insurance contract and product management

A prototype of a reactive Webapp for bitemporal data management of insurance contracts.

🌾 declarative crop modeling framework

General Relativistic Orbital Dynamics in Julia

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

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

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