Dependency Packages

Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor

AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

TensorFlow.jl866A Julia wrapper for TensorFlow

DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

NeuralPDE.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralNetDiffEq.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai

Transformers.jl420Julia Implementation of Transformer models

DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

GeometricFlux.jl330Geometric Deep Learning for Flux

Metalhead.jl297Computer vision models for Flux

FLoops.jl284Fast sequential, threaded, and distributed forloops for Julia—fold for humans™

Molly.jl281Molecular simulation in Julia

MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia

Omega.jl155Causal, HigherOrder, Probabilistic Programming

GraphNeuralNetworks.jl153Graph Neural Networks in Julia

NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, PhysicsInformed Neural Operators, and more in Julia

SeaPearl.jl141Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

RayTracer.jl141Differentiable RayTracing in Julia

TopOpt.jl141A beautifully Julian topology optimization package.

MLJFlux.jl115Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

FluxArchitectures.jl113Complex neural network examples for Flux.jl

InvertibleNetworks.jl101A Julia framework for invertible neural networks

Kinetic.jl96Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

FluxTraining.jl95A flexible neural net training library inspired by fast.ai

SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: SymbolicNumerics for Solving Integrals

Flux3D.jl913D computer vision library in Julia

MLUtils.jl83Utilities and abstractions for Machine Learning tasks

ObjectDetector.jl82Pure Julia implementations of singlepass object detection neural networks.

ExplainableAI.jl77XAI in Julia using Flux.

CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Mill.jl74Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multiinstance learning models.

MPSKit.jl73Contains code for tackling 1 dimensional (quantum) problems using tensor network algorithms.

DeepQLearning.jl65Implementation of the Deep Qlearning algorithm to solve MDPs

MRIReco.jl62Julia Package for MRI Reconstruction

HighDimPDE.jl60A Julia package that breaks down the curse of dimensionality in solving PDEs.

AtomicGraphNets.jl58Atomic graph models for molecules and crystals in Julia

FluxOptTools.jl54Use Optim to train Flux models and visualize loss landscapes

EasyML.jl52A foolproof way of doing ML with GUI elements.

FluxMPI.jl48Distributed Data Parallel Training of Deep Neural Networks
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