Dependency Packages
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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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SeaPearlZoo.jl21SeaPearl's pool of examples
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NeuroTreeModels.jl21Differentiable tree-based models for tabular data
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CalibrateEDMF.jl20A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods
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RegularizedLeastSquares.jl20-
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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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MOSLab.jl18From Semiconductor to TransistorLevel Modeling in Julia
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TransformerBlocks.jl18Simple, blazing fast, transformer components.
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QuantumNLDiffEq.jl17-
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RAPIDS.jl17An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl
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Gogeta.jl17Representing machine learning models using mathematical programming
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Nclusion.jl17Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data
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NeuralGraphPDE.jl17Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
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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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TMLE.jl16A pure Julia implementation of the Targeted Minimum Loss-based Estimation
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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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MPSKitModels.jl15-
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Microstructure.jl15Julia package for microstructure imaging
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DJUICE.jl15Differentiable JUlia ICE model
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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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Atomistic.jl15Package that provides a integrated Julia workflow for molecular dyanmics simulations.
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PlantSimEngine.jl15A simulation engine for models related to plants
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SossMLJ.jl15SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language
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StatisticalMeasures.jl14Measures (metrics) for statistics and machine learning
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Hopfields.jl14Modern Hopfield layer implementations in Julia
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Unitary.jl14A differentiable parametrization of a group of unitary matrices.
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AutoEncoderToolkit.jl13Julia package with several functions to train and analyze Autoencoder-based neural networks
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DiscreteChoiceModels.jl13Discrete choice/random utility models in Julia
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POMDPStressTesting.jl13Adaptive stress testing of black-box systems within POMDPs.jl
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IPMeasures.jl13Implementation of Integral Probability Measures in Julia
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Fluxperimental.jl13Experimental features for Flux.jl
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ADRIA.jl12ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.
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NeuralArithmetic.jl12Collection of layers that can perform arithmetic operations
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FluxUtils.jl12Sklearn Interface and Distributed Training for Flux.jl
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AtomGraphs.jl12Graph-building for AtomicGraphNets
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KitML.jl11Lightweight module of neural differential equations in Kinetic.jl
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JutulDarcyRules.jl11JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy
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