Generate checklists and flow diagrams based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)

Preheat your MCMC

Univariate and multiple comparisons statistical hypothesis testing by data permutation

Clima's Land Model

Empirical interatomic potentials with Julia, AtomsBase and AtomsCalculators

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

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EDS spectrum analysis tools within the NeXL toolset

Utilities for implementing AtomsCalculators

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

EPMA matrix correction algorithms

Quantum dynamics simulation environment

Bayesian inference with probabilistic programming.

Core algorithms and data for X-ray microanalysis calculations

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Play atmospheric modelling like it's LEGO.

BOSS (Bayesian Optimization with Semiparametric Surrogate)

The Julia implementation of the generalised hierarchical Gaussian filter

A Julia package for behavioural modeling

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Causal inference, graphical models and structure learning 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.

A flexible neural net training library inspired by fast.ai

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

Graph Neural Networks in Julia

Atomic graph models for molecules and crystals in Julia

Relax! Flux is the ML library that doesn't make you tensor

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

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

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

Abstract types and interfaces for Markov chain Monte Carlo methods

A Julia machine learning framework

Julia Implementation of Transformer models

Integrating diagramming and data visualization

Static site generation with Pluto, WIP

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.