Dependency Packages
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Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor
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Turing.jl1807Bayesian inference with probabilistic programming.
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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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NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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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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DiffEqTutorials.jl694Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai
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Gridap.jl539Grid-based approximation of partial differential equations in Julia
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Transformers.jl420Julia Implementation of Transformer models
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GeoStats.jl414An extensible framework for high-performance geostatistics in Julia
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Soss.jl401Probabilistic programming via source rewriting
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Transducers.jl381Efficient transducers for Julia
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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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MeasureTheory.jl367"Distributions" that might not add to one.
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StatisticalRethinking.jl366Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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Trixi.jl363Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs 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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ThreadsX.jl290Parallelized Base functions
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FLoops.jl284Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™
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PGFPlotsX.jl283Plots in Julia using the PGFPlots LaTeX package
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Molly.jl281Molecular simulation in Julia
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MCMCChains.jl236Types and utility functions for summarizing Markov chain Monte Carlo simulations
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DynamicHMC.jl231Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
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MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia
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Stan.jl197Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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AdvancedHMC.jl192Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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BAT.jl164A Bayesian Analysis Toolkit in Julia
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Bijectors.jl160Implementation of normalising flows and constrained random variable transformations
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Omega.jl155Causal, Higher-Order, Probabilistic Programming
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TuringModels.jl153Implementations of the models from the Statistical Rethinking book with Turing.jl
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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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RayTracer.jl141Differentiable RayTracing in Julia
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TopOpt.jl141A beautifully Julian topology optimization package.
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SeaPearl.jl141Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
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AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients
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DiffEqBayes.jl117Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
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