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

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

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

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

Complex neural network examples for Flux.jl

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

A flexible neural net training library inspired by fast.ai

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A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Climate science package for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Combinatorial optimization layers for machine learning pipelines

A package for time series data processing, classification, clustering, and prediction.

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.

Utilities and abstractions for Machine Learning tasks

MATLAB-based solver package of Maxwell's equations by the FDFD method

Parallel distributed-memory version of Gridap

3D computer vision library in Julia

MagNav: airborne Magnetic anomaly Navigation

Hidden Markov Models for Julia.

A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.

Pure Julia implementations of single-pass object detection neural networks.

Robust implementation for random-walk Metropolis-Hastings algorithms

Build flexible hierarchical multi-instance learning models.

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

Generate PowerPoint PPTX files from Julia

Julia Package for MRI Reconstruction

A Julia wrapper for the Alpha Vantage API.

A Julia package for simulation, inference and learning of Hidden Markov Models.

Stochastic Optimization, Learning, Uncertainty and Sampling

Sampling from intractable distributions, with support for distributed and parallel methods

A Julia package to solve, simulate, and analyze nonlinear DSGE models.

High level functions for analyzing the output of simulations

Fast, scalable and flexible Outlier Detection with Julia

Abstract types and interfaces for Markov chain Monte Carlo methods

Implementation of variational Bayes inference algorithms

Solid state detector field and charge drift simulation in Julia

Preheat your MCMC

WIP successor to Soss.jl