Dependency Packages
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Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor
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AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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TensorFlow.jl866A Julia wrapper for TensorFlow
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DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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NeuralNetDiffEq.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai
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Catlab.jl523A framework for applied category theory in the Julia language
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Transformers.jl420Julia Implementation of Transformer models
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Soss.jl401Probabilistic programming via source rewriting
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DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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GeometricFlux.jl330Geometric Deep Learning for Flux
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Metalhead.jl297Computer vision models for Flux
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FLoops.jl284Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™
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Molly.jl281Molecular simulation in Julia
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MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia
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Omega.jl155Causal, Higher-Order, Probabilistic Programming
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GraphNeuralNetworks.jl153Graph Neural Networks in Julia
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NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
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SeaPearl.jl141Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
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TopOpt.jl141A beautifully Julian topology optimization package.
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RayTracer.jl141Differentiable RayTracing in Julia
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MLJFlux.jl115Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox
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FluxArchitectures.jl113Complex neural network examples for Flux.jl
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InvertibleNetworks.jl101A Julia framework for invertible neural networks
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Kinetic.jl96Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
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FluxTraining.jl95A flexible neural net training library inspired by fast.ai
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SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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Flux3D.jl913D computer vision library in Julia
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GeneralizedGenerated.jl85A generalized version of Julia generated functions @generated to allow closures in generated functions and avoid the use of runtime eval or invokelatest.
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MLUtils.jl83Utilities and abstractions for Machine Learning tasks
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ObjectDetector.jl82Pure Julia implementations of single-pass object detection neural networks.
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ExplainableAI.jl77XAI in Julia using Flux.
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SemanticModels.jl76A julia package for representing and manipulating model semantics
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Semagrams.jl75A graphical editor for graph-like structures
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CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
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Mill.jl74Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multi-instance learning models.
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OrbitalTrajectories.jl74OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
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MPSKit.jl73Contains code for tackling 1 dimensional (quantum) problems using tensor network algorithms.
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Tilde.jl73WIP successor to Soss.jl
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