Dependency Packages

AlphaZero.jl842A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

DiffEqFlux.jl510Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

NeuralNetDiffEq.jl327PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralPDE.jl327PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Metalhead.jl200Computer vision models for Flux

GeometricFlux.jl200Geometric Deep Learning for Flux

Transformers.jl191Julia Implementation of Transformer models

GalacticOptim.jl178Local, global, and beyond optimization for scientific machine learning (SciML)

Surrogates.jl131Surrogate modeling and optimization for scientific machine learning (SciML)

RayTracer.jl116Differentiable RayTracing in Julia

AugmentedGaussianProcesses.jl105Gaussian Process package based on data augmentation, sparsity and natural gradients

Omega.jl86Causal, HigherOrder, Probabilistic Programming

ONNX.jl80Read ONNX graphs in Julia

MLJFlux.jl69An interface to the deep learning package Flux.jl from the MLJ.jl toolbox

Flux3D.jl543D computer vision library in Julia

Mill.jl50Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multiinstance learning models.

DeepQLearning.jl40Implementation of the Deep Qlearning algorithm to solve MDPs

Kinetic.jl39Universal modeling and simulation of fluid dynamics upon machine learning

FluxJS.jl38I heard you like compile times

ObjectDetector.jl38Pure Julia implementations of singlepass object detection neural networks.

FluxTraining.jl34A flexible neural net training library inspired by fast.ai

NaiveGAflux.jl30Evolve Flux networks from scratch!

SeaPearl.jl28Julian hybrid constraint programming solver enhanced by a reinforcement learning driven search.

AtomicGraphNets.jl25Atomic graph models for molecules and crystals in Julia

SparseGaussianProcesses.jl20A Julia implementation of sparse Gaussian processes via pathwise doubly stochastic variational inference.

JsonGrinder.jl20Towards more automatic processing of structured data

ChemistryFeaturization.jl16Unified graph building and featurizing for Weave.jl, AtomicGraphNets.jl, and (maybe soon) more!

UNet.jl16Generic UNet implementation written in pure Julia, based on Flux.jl

AdversarialPrediction.jl16Easily optimize generic performance metrics in differentiable learning.

Unitary.jl14A differentiable parametrization of a group of unitary matrices.

ParameterSchedulers.jl13Common hyperparameter scheduling for ML

FluxUtils.jl12Sklearn Interface and Distributed Training for Flux.jl

Adversarial.jl12Adversarial attacks for Neural Networks written with FluxML

NaiveNASflux.jl10Your local Flux surgeon

GenerativeModels.jl9Generative Models with trainable conditional distributions in Julia!

KitML.jl9Lightweight module of neural differential equations in Kinetic.jl

TextModels.jl7Neural Network based models for Natural Language Processing

NeuralArithmetic.jl6Collection of layers that can perform arithmetic operations

SimulatedNeuralMoments.jl6Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

OutlierDetection.jl5Fast, scalable and flexible Outlier Detection with Julia
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