Dependency Packages
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Flux.jl2993Relax! Flux is the ML library that doesn't make you tensor
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Turing.jl1226Bayesian inference with probabilistic programming.
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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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DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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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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Stheno.jl252Probabilistic Programming with Gaussian processes in Julia
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Metalhead.jl200Computer vision models for Flux
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GeometricFlux.jl200Geometric Deep Learning 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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KernelFunctions.jl115Julia package for kernel functions for machine learning
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AugmentedGaussianProcesses.jl105Gaussian Process package based on data augmentation, sparsity and natural gradients
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Bijectors.jl104Implementation of normalising flows and constrained random variable transformations
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TuringModels.jl101Turing version of StatisticalRethinking models.
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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
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Omega.jl86Causal, Higher-Order, Probabilistic Programming
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AbstractGPs.jl81Abstract types and methods for Gaussian Processes.
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ONNX.jl80Read ONNX graphs in Julia
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MLJFlux.jl69An interface to the deep learning package Flux.jl from the MLJ.jl toolbox
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DynamicPPL.jl56Implementation of domain-specific language (DSL) for dynamic probabilistic programming
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TemporalGPs.jl56Fast inference for Gaussian processes in problems involving time
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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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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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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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FluxTraining.jl34A flexible neural net training library inspired by fast.ai
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NaiveGAflux.jl30Evolve Flux networks from scratch!
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SeaPearl.jl28Julian hybrid constraint programming solver enhanced by a reinforcement learning driven search.
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MCMCBenchmarks.jl27Comparing performance and results of mcmc options using Julia
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AdvancedVI.jl27A library for variational Bayesian methods in Julia
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AtomicGraphNets.jl25Atomic graph models for molecules and crystals in Julia
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Turkie.jl25Turing + Makie = Turkie
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AIBECS.jl21The ideal tool for exploring global marine biogeochemical cycles.
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JsonGrinder.jl20Towards more automatic processing of structured data
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