Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Abstract types and interfaces for Markov chain Monte Carlo methods

Common types and interfaces for probabilistic programming

A Julia package for behavioural modeling

Julia Package for Active Inference

Common functions in actuarial and financial routines

Generalized linear models for cell-cell communication

Algorithms for performing angular differential imaging (ADI)

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

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Robust implementation for random-walk Metropolis-Hastings algorithms

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Implementation of variational Bayes inference algorithms

Adversarial attacks for Neural Networks written with FluxML

Easily optimize generic performance metrics in differentiable learning.

A Julia package for Aeroacoustics

The ideal tool for exploring global marine biogeochemical cycles.

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Computational models of algorithmic competition

A Julia package for modelling Algorithmic Recourse Dynamics.

A Julia wrapper for the Alpha Vantage API.

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

Implementations for some distributions using a consistent API and AD-friendly code.

Method validation

[WIP] Wrapper package for simulation and bayesian inference of behavioral models

Provides a Simple Way to Calculate ANOVAs From Fitted Linear Models.

An implementation of ARMA convolutional layers in Julia.

Graph-building for AtomicGraphNets

Atomic graph models for molecules and crystals in Julia

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

Utilities for implementing AtomsCalculators

Gaussian Process package based on data augmentation, sparsity and natural gradients

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

Julia package with several functions to train and analyze Autoencoder-based neural networks

This is a package for automated landmarking of images and volumes

A powerful, no code solution for control and systems engineering

Warehouse for dynamical systems identification and control

Advanced exports management for AutomationLabs.jl

Dynamical systems identification

Advanced process control for AutomationLabs