Dependency Packages
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Flux.jl2993Relax! Flux is the ML library that doesn't make you tensor
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Knet.jl1273Koç University deep learning framework.
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AlphaZero.jl842A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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DiffEqFlux.jl510Universal 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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Oceananigans.jl433🌊 Fast and friendly fluid dynamics on CPUs and GPUs
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NeuralPDE.jl327Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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NeuralNetDiffEq.jl327Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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TensorOperations.jl233Julia package for tensor contractions and related operations
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GeometricFlux.jl200Geometric Deep Learning for Flux
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Metalhead.jl200Computer vision models for Flux
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Transformers.jl191Julia Implementation of Transformer models
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GalacticOptim.jl178Local, global, and beyond optimization for scientific machine learning (SciML)
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Surrogates.jl131Surrogate modeling and optimization for scientific machine learning (SciML)
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RayTracer.jl116Differentiable RayTracing in Julia
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Molly.jl108Molecular simulation in Julia
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AugmentedGaussianProcesses.jl105Gaussian Process package based on data augmentation, sparsity and natural gradients
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DiffEqGPU.jl100GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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ParallelStencil.jl94Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
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FourierFlows.jl92Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
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Omega.jl86Causal, Higher-Order, Probabilistic Programming
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Yota.jl83Reverse-mode automatic differentiation in Julia
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ONNX.jl80Read ONNX graphs in Julia
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OMEinsum.jl75One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD
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MLJFlux.jl69An interface to the deep learning package Flux.jl from the MLJ.jl toolbox
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GeophysicalFlows.jl68Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
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EvoTrees.jl66Boosted trees in Julia
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TensorKit.jl65A Julia package for large-scale tensor computations, with a hint of category theory
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Avalon.jl63Starter kit for legendary models
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ProbabilisticCircuits.jl62Probabilistic Circuits from the Juice library
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TensorNetworkAD.jl56Algorithms that combine tensor network methods with automatic differentiation
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QuantumInformation.jl54A Julia package for numerical computation in quantum information theory
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Flux3D.jl543D computer vision library in Julia
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Mill.jl50Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multi-instance learning models.
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Lilith.jl45Renamed to Avalon.jl
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MIRT.jl42MIRT: Michigan Image Reconstruction Toolbox (Julia version)
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DeepQLearning.jl40Implementation of the Deep Q-learning algorithm to solve MDPs
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Kinetic.jl39Universal modeling and simulation of fluid dynamics upon machine learning
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QuantumLab.jl39A workbench for Quantum Chemistry and Quantum Physics in Julia
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ObjectDetector.jl38Pure Julia implementations of single-pass object detection neural networks.
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FluxJS.jl38I heard you like compile times
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