Dependency Packages
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GeoTables.jl25Geospatial tables compatible with the GeoStats.jl framework
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Tsunami.jl24Neural network training, fast and easy.
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FluxKAN.jl24An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.
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FinancialMonteCarlo.jl23Julia Package for Financial Monte Carlo Simulations
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NaiveNASflux.jl23Your local Flux surgeon
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SimulatedNeuralMoments.jl22Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net
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DINCAE.jl22DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
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ContinuousNormalizingFlows.jl22Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
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NeuroTreeModels.jl21Differentiable tree-based models for tabular data
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ConditionalDists.jl21Conditional probability distributions powered by DistributionsAD.jl
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ElectrochemicalKinetics.jl21Electrochemical reaction rate modeling and nonequilibrium phase maps (via AD)
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SeaPearlZoo.jl21SeaPearl's pool of examples
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GeoIO.jl21Load/save geospatial data compatible with the GeoStats.jl framework
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HierarchicalGaussianFiltering.jl21The Julia implementation of the generalised hierarchical Gaussian filter
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CalibrateEDMF.jl20A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods
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Transits.jl20Flexible photometric transit curves with limb darkening
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JuliaBUGS.jl20Implementation of domain specific language (DSL) for probabilistic graphical models
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RelativisticDynamics.jl19General Relativistic Orbital Dynamics in Julia
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CovarianceFunctions.jl19Lazy, structured, and efficient operations with kernel matrices.
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AdversarialPrediction.jl19Easily optimize generic performance metrics in differentiable learning.
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EquivariantOperators.jl18-
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NLreg.jl18Nonlinear regression in Julia
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MeshGraphNets.jl18MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.
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MOSLab.jl18From Semiconductor to TransistorLevel Modeling in Julia
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TransformerBlocks.jl18Simple, blazing fast, transformer components.
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NeuralGraphPDE.jl17Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
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Gogeta.jl17Representing machine learning models using mathematical programming
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QuantumNLDiffEq.jl17-
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Nclusion.jl17Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data
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NonconvexUtils.jl16Some convenient hacks when using Nonconvex.jl.
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GIRFReco.jl16An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
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MeshIntegrals.jl16Numerical integration over Meshes.jl geometry domains
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TMLE.jl16A pure Julia implementation of the Targeted Minimum Loss-based Estimation
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KrigingEstimators.jl16Kriging estimators for the GeoStats.jl framework
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LiftedTrajectoryGames.jl16A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?
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Nevanlinna.jl15Nevanlinna analytic continuation
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Adversarial.jl15Adversarial attacks for Neural Networks written with FluxML
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GraphNets.jl15Simple, blazing fast, message-passing graph neural network.
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DJUICE.jl15Differentiable JUlia ICE model
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SimulationBasedInference.jl15A flexible toolkit for simulation based inference in Julia
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