A Julia machine learning framework

Julia Animations and Visualizations

This library uses the LaTeX package pgfplots to produce plots.

Core functionality for the MLJ machine learning framework

Differentiable RayTracing in Julia

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

A fast image augmentation library in Julia for machine learning.

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

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Perceptually Uniform Colour Maps for Julia

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.

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

MADS: Model Analysis & Decision Support

Julia implementations of multidimensional array convolution and nonlinear stencil operations

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

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

Dive deeper into your data with interactive graphics

Projective geometry for computer vision in Julia

Fast, scalable and flexible Outlier Detection with Julia

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

A foolproof way of doing ML with GUI elements.

Neuroimaging in Julia

Documentation and Example Gallery for Makie

Partitioning images into meaningful regions

YOLO Object Detection in Julia

Image feature detection for the Julia language

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Julia library for deep reinforcement learning

Fast image quilting simulation solver for the GeoStats.jl framework

Julia package that downloads satellite measurements and observational data

RHEOS - Open Source Rheology data analysis software

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

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

The ideal tool for exploring global marine biogeochemical cycles.

Detect and track blobs in video

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

Unitful and differentiable gravitational N-body simulation code in Julia