Dependency Packages
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Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor
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Zygote.jl135321st century AD
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AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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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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Transformers.jl420Julia Implementation of Transformer models
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SymbolicRegression.jl377Distributed High-Performance symbolic regression in Julia
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GeometricFlux.jl330Geometric Deep Learning for Flux
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Metalhead.jl297Computer vision models for Flux
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Molly.jl281Molecular simulation in Julia
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Surrogates.jl281Surrogate modeling and optimization for scientific machine learning (SciML)
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SciMLSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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DiffEqSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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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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RayTracer.jl141Differentiable RayTracing in Julia
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TopOpt.jl141A beautifully Julian topology optimization package.
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AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients
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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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ProximalAlgorithms.jl106Proximal algorithms for nonsmooth optimization in Julia
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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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Nonconvex.jl91Toolbox for non-convex constrained optimization.
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TemporalGPs.jl91Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
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Flux3D.jl913D computer vision library in Julia
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Mjolnir.jl86A little less conversation, a little more abstraction
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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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CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
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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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Mill.jl74Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multi-instance learning models.
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EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
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TensorNetworkAD.jl74Algorithms that combine tensor network methods with automatic differentiation
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BetaML.jl72Beta Machine Learning Toolkit
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