Dependency Packages
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CTDirect.jl9Direct transcription of an optimal control problem and resolution
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DRSOM.jl9-
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PartiallySeparableNLPModels.jl9A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl
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RNAForecaster.jl8-
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PartiallySeparableSolvers.jl8Trust-region methods with partitioned quasi-Newton approximations
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TuringBenchmarking.jl7-
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MCPhylo.jl7(Hierarchical) Phylogenetic Models in Julia
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CausalGPSLC.jl6Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
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FMISensitivity.jl6Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
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DeepCompartmentModels.jl6Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.
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AutomationLabs.jl5A powerful, no code solution for control and systems engineering
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SubspaceInference.jl5Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia
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ActiveInference.jl5Julia Package for Active Inference
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FlightGNC.jl4A Julia package containing GNC algorithms for autonomous aerospace systems
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AutomationLabsIdentification.jl4Dynamical systems identification
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SolverTest.jl4-
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Synthesizer.jl4Switched-On Bayes.
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DynamicBoundspODEsIneq.jl4Differential Inequality Algorithms for Parametric ODEs
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GenFlux.jl3-
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MaxEntropyGraphs.jl3Julia implementation of maximum entropy graph models
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DerivableFunctions.jl3Backend-agnostic differentiation with symbolic pass-through in Julia.
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ContinuousTimePolicyGradients.jl2A package for the development and implementation of continuous-time policy gradient (CTPG) methods.
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BarBay.jl2Repository for the BarBay Julia package for Bayesian inference of relative fitness on barcode sequencing data.
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DynamicBounds.jl2Bounds and Relaxations of Parametric Differential Equations
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SphereUDE.jl2A Julia package for regression in the sphere based on Universal Differential Equations
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DynamicBoundsBase.jl2Abstraction Layer for Dynamic Bounds
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LuxTestUtils.jl1Collection of Functions useful for testing various packages in the Lux Ecosystem
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DynamicBoundspODEsDiscrete.jl1Valid Discrete-Time Methods for Relaxing pODEs
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TopOptMakie.jl1Makie visualization module for TopOpt.jl
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TumorGrowth.jl0Simple predictive models for tumor growth, and tools to apply them to clinical data
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OpticSimVis.jl0A visualization package for the OpticSim Julia package
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GalacticPotentials.jl0Common galactic potential models as ModelingToolkit systems!
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NonconvexPercival.jl0Percival wrapper in Nonconvex.jl
View all packages