Dependency Packages

Flux.jl4466Relax! Flux is the ML library that doesn't make you tensor

MLJ.jl1779A Julia machine learning framework

AlphaZero.jl1232A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

NeuralNetDiffEq.jl966PhysicsInformed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

TensorFlow.jl884A Julia wrapper for TensorFlow

FastAI.jl589Repository of best practices for deep learning in Julia, inspired by fastai

Transformers.jl521Julia Implementation of Transformer models

DataDrivenDiffEq.jl405Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

GeometricFlux.jl348Geometric Deep Learning for Flux

Metalhead.jl328Computer vision models for Flux

NeuralOperators.jl262DeepONets, (Fourier) Neural Operators, PhysicsInformed Neural Operators, and more in Julia

MLDatasets.jl227Utility package for accessing common Machine Learning datasets in Julia

GraphNeuralNetworks.jl218Graph Neural Networks in Julia

TopOpt.jl181A package for binary and continuous, single and multimaterial, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

SeaPearl.jl168Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Omega.jl162Causal, HigherOrder, Probabilistic Programming

MLJBase.jl160Core functionality for the MLJ machine learning framework

RayTracer.jl150Differentiable RayTracing in Julia

InvertibleNetworks.jl149A Julia framework for invertible neural networks

MLJFlux.jl145Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

ConformalPrediction.jl135Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

FluxArchitectures.jl123Complex neural network examples for Flux.jl

Kinetic.jl122Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

FluxTraining.jl119A flexible neural net training library inspired by fast.ai

CounterfactualExplanations.jl117A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

SymbolicNumericIntegration.jl116SymbolicNumericIntegration.jl: SymbolicNumerics for Solving Integrals

Flux3D.jl1013D computer vision library in Julia

MagNav.jl101MagNav: airborne Magnetic anomaly Navigation

ObjectDetector.jl90Pure Julia implementations of singlepass object detection neural networks.

Mill.jl86Build flexible hierarchical multiinstance learning models.

OutlierDetection.jl79Fast, scalable and flexible Outlier Detection with Julia

DeepQLearning.jl72Implementation of the Deep Qlearning algorithm to solve MDPs

HighDimPDE.jl71A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and FeynmanKac methods to solve highdimensional PDEs without the curse of dimensionality

ODINN.jl68Global glacier model using Universal Differential Equations for climateglacier interactions

MLJTuning.jl67Hyperparameter optimization algorithms for use in the MLJ machine learning framework

ChainPlots.jl64Visualization for Flux.Chain neural networks

AtomicGraphNets.jl62Atomic graph models for molecules and crystals in Julia

FluxOptTools.jl59Use Optim to train Flux models and visualize loss landscapes

FluxMPI.jl56Distributed Data Parallel Training of Deep Neural Networks

FMIFlux.jl55FMIFlux.jl is a freetouse software library for the Julia programming language, which offers the ability to place FMUs (fmistandard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.
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