Dependency Packages
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DynamicPPL.jl116Implementation of domain-specific language (DSL) for dynamic probabilistic programming
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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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ClimateTools.jl108Climate science package for 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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SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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Flux3D.jl913D computer vision library in Julia
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HMMBase.jl89Hidden Markov Models for Julia.
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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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TableTransforms.jl82Transforms and pipelines with tabular data in Julia
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InferOpt.jl78Combinatorial optimization layers for machine learning pipelines
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Folds.jl77A unified interface for sequential, threaded, and distributed fold
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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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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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AlphaVantage.jl74A Julia wrapper for the Alpha Vantage API.
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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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GridapDistributed.jl70Parallel distributed-memory version of Gridap
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AbstractMCMC.jl69Abstract types and interfaces for Markov chain Monte Carlo methods
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AdvancedMH.jl67Robust implementation for random-walk Metropolis-Hastings algorithms
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SolveDSGE.jl67A Julia package to solve, simulate, and analyze nonlinear DSGE models.
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Pathfinder.jl66Preheat your MCMC
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DeepQLearning.jl65Implementation of the Deep Q-learning algorithm to solve MDPs
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Turkie.jl65Turing + Makie = Turkie
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TransformVariables.jl64Transformations to contrained variables from ℝⁿ.
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MRIReco.jl62Julia Package for MRI Reconstruction
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HighDimPDE.jl60A Julia package that breaks down the curse of dimensionality in solving PDEs.
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AtomicGraphNets.jl58Atomic graph models for molecules and crystals in Julia
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TuringGLM.jl58Bayesian Generalized Linear models using `@formula` syntax.
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MultistartOptimization.jl57Multistart optimization methods in Julia.
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FluxOptTools.jl54Use Optim to train Flux models and visualize loss landscapes
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CoDa.jl54Compositional data analysis in Julia
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EasyML.jl52A foolproof way of doing ML with GUI elements.
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CalibrateEmulateSample.jl50Stochastic Optimization, Learning, Uncertainty and Sampling
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FoldsCUDA.jl50Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)
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