Dependency Packages
-
HawkesProcesses.jl23MCMC Inference for a Hawkes process in Julia
-
MathML.jl23Julia MathML parser
-
OptControl.jl23A tool to solve optimal control problem
-
LearningAlgebraicVarieties.jl23Learning Algebraic Varieties from Samples
-
StructDualDynProg.jl23Implementation of SDDP (Stochastic Dual Dynamic Programming) using the StructJuMP modeling interface
-
SortingLab.jl23Faster sorting algorithms (sort and sortperm) for Julia
-
TableDistances.jl23Distances between heterogeneous tabular data
-
SpaceLiDAR.jl23A Julia package for working with ICESat-2 & GEDI data as part of my PhD research
-
SolverBenchmark.jl23Benchmark tools for solvers
-
TidierFiles.jl23Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.
-
Rimu.jl23Random Integrators for many-body quantum systems
-
PointSpreadFunctions.jl23Toolbox for calculating optical PSFs
-
FinancialMonteCarlo.jl23Julia Package for Financial Monte Carlo Simulations
-
GraphicalModelLearning.jl23Algorithms for Learning Graphical Models
-
IRKGaussLegendre.jl23Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)
-
SwitchOnSafety.jl22Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming
-
DomainIntegrals.jl22A package for computing integrals over domains like they are defined in DomainSets.jl.
-
PowerPlots.jl22Functions plot PowerModels networks
-
DistributedFactorGraphs.jl22Abstraction layer for spanning factor graphs over various technologies
-
Dispersal.jl22Tools for simulating organism dispersal
-
CaNNOLeS.jl22Constrained and NoNlinear Optimizer of Least Squares
-
DINCAE.jl22DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
-
RegressionAndOtherStories.jl22Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.
-
Waluigi.jl22-
-
MendelIHT.jl22Iterative hard thresholding for l0 penalized regression
-
NovaML.jl22-
-
SimulatedNeuralMoments.jl22Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net
-
PowerModelsAnnex.jl22A PowerModels.jl Extension Package for Exploratory Work
-
Boscia.jl22Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
-
SimpleDiffEq.jl22Simple differential equation solvers in native Julia for scientific machine learning (SciML)
-
UnsteadyFlowSolvers.jl22Solvers for problems involving unsteady fluid flow
-
PhyloTrees.jl22Phylogenetic trees in Julia
-
ConvexBodyProximityQueries.jl22A fast module for computing proximity queries between convex bodies in 2D/3D
-
FluxReconstruction.jl22Flux reconstruction method for advection-diffusion type physics
-
ContinuousNormalizingFlows.jl22Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
-
ModelingToolkitNeuralNets.jl22Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
-
ConstraintProgrammingExtensions.jl22Extensions to MathOptInterface to support constraint programming.
-
AdaptiveResonance.jl22A Julia package for Adaptive Resonance Theory (ART) algorithms.
-
GenParticleFilters.jl22Building blocks for simple and advanced particle filtering in Gen.
-
TensorGames.jl22Computing mixed-strategy Nash Equilibria for games involving multiple players
Loading more...