Dependency Packages

Flux.jl2993Relax! Flux is the ML library that doesn't make you tensor

Turing.jl1226Bayesian inference with probabilistic programming.

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

DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and highperformance differential equation solving with open source software.

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

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

Stheno.jl252Probabilistic Programming with Gaussian processes in Julia

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

KernelFunctions.jl115Julia package for kernel functions for machine learning

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

Bijectors.jl104Implementation of normalising flows and constrained random variable transformations

TuringModels.jl101Turing version of StatisticalRethinking models.

DiffEqBayes.jl94Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Omega.jl86Causal, HigherOrder, Probabilistic Programming

AbstractGPs.jl81Abstract types and methods for Gaussian Processes.

ONNX.jl80Read ONNX graphs in Julia

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

DynamicPPL.jl56Implementation of domainspecific language (DSL) for dynamic probabilistic programming

TemporalGPs.jl56Fast inference for Gaussian processes in problems involving time

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

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

FluxJS.jl38I heard you like compile times

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.

MCMCBenchmarks.jl27Comparing performance and results of mcmc options using Julia

AdvancedVI.jl27A library for variational Bayesian methods in Julia

AtomicGraphNets.jl25Atomic graph models for molecules and crystals in Julia

Turkie.jl25Turing + Makie = Turkie

AIBECS.jl21The ideal tool for exploring global marine biogeochemical cycles.

JsonGrinder.jl20Towards more automatic processing of structured data
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