Dependency Packages
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OperatorLearning.jl43No need to train, he's a smooth operator
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Crux.jl43Julia library for deep reinforcement learning
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FluxJS.jl42I heard you like compile times
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ChemistryFeaturization.jl41Interface package for featurizing atomic structures
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NestedSamplers.jl41Implementations of single and multi-ellipsoid nested sampling
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TerminalLoggers.jl41Logging sinks and utilites for interactive terminals
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NaiveGAflux.jl41Evolve Flux networks from scratch!
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InformationGeometry.jl40Methods for computational information geometry
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InfrastructureSystems.jl39Utility package for Sienna's simulation infrastructure
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ActuaryUtilities.jl39Common functions in actuarial and financial routines
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LaplaceRedux.jl38Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
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Sole.jl37Sole.jl – Long live transparent modeling!
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SIIPExamples.jl37Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.
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MCMCBenchmarks.jl37Comparing performance and results of mcmc options using Julia
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ClimaLSM.jl36Clima's Land Model
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Plasma.jl34An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.
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CRRao.jl34-
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SparseGaussianProcesses.jl33A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
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GenerativeModels.jl31Generative Models with trainable conditional distributions in Julia!
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ElectricGrid.jl31A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters
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FinanceModels.jl30Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments
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TextModels.jl30Neural Network based models for Natural Language Processing
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TurbulenceConvection.jl30A turbulence-convection single column model cloud parameterization.
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PowerGraphics.jl30A package to generate visualizations from PowerSimulations.jl results. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
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MCMCTempering.jl29Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
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KissABC.jl29Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
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Octofitter.jl29Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.
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FluxPrune.jl27Pruning framework and methods for Flux
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BifurcationInference.jl27Learning state-space targets in dynamical systems
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QSimulator.jl27Unitary and Lindbladian evolution in Julia
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SequentialSamplingModels.jl27A unified interface for simulating and evaluating sequential sampling models in Julia.
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AbstractPPL.jl24Common types and interfaces for probabilistic programming
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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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Rimu.jl23Random Integrators for many-body quantum systems
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SolverBenchmark.jl23Benchmark tools for solvers
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NaiveNASflux.jl23Your local Flux surgeon
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PlantBiophysics.jl23A Julia package for computing processes related to plant ecophysiology and biophysics
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RegressionAndOtherStories.jl22Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.
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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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