Dependency Packages
-
OPFLearn.jl37A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow
-
DynamicHMCExamples.jl37Examples for Bayesian inference using DynamicHMC.jl and related packages.
-
BeforeIT.jl37A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
-
MCMCBenchmarks.jl37Comparing performance and results of mcmc options using Julia
-
BlobTracking.jl36Detect and track blobs in video
-
MonteCarloIntegration.jl36A package for multi-dimensional integration using monte carlo methods
-
AIBECS.jl36The ideal tool for exploring global marine biogeochemical cycles.
-
SignalDecomposition.jl36Decompose a signal/timeseries into structure and noise or seasonal and residual components
-
BasicPOMCP.jl35The PO-UCT algorithm (aka POMCP) implemented in Julia
-
Diagonalizations.jl35Diagonalization procedures for Julia (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)
-
TreeParzen.jl35TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration
-
ApproximateGPs.jl35Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
-
Scruff.jl34Scruff.jl
-
MultiKDE.jl34Multivariate kernel density estimation
-
ModelOrderReduction.jl34High-level model-order reduction to automate the acceleration of large-scale simulations
-
Bruno.jl34Repository for the Julia package with financial tools for data generation, asset pricing and strategy testing
-
ExtremeStats.jl34Extreme value statistics in Julia
-
FractionalCalculus.jl34FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.
-
SynthControl.jl34Synthetic control methods in Julia
-
RobustModels.jl34A Julia package for robust regressions using M-estimators and quantile regressions
-
CRRao.jl34-
-
Plasma.jl34An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.
-
ExpectationMaximization.jl33A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.
-
GLFixedEffectModels.jl33Fast estimation of generalized linear models with high dimensional categorical variables in Julia
-
JuliaDBMeta.jl33Metaprogramming tools for JuliaDB
-
EarthDataLab.jl33Julia interface for Reading from the Earth System Datacube
-
DPMMSubClusters.jl33Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
-
PDSampler.jl33Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
-
PEtab.jl33Create parameter estimation problems for ODE models
-
Phylo.jl33Simple phylogenetic trees in Julia to work with Diversity.jl - https://github.com/EcoJulia/Diversity.jl
-
Changepoints.jl32A Julia package for the detection of multiple changepoints in time series.
-
BasisMatrices.jl32Routines for constructing BasisMatrices of different types (Chebyshev polynomials, B-Splines, piecewise linear, complete monomials, Smolyak...)
-
StructuralCausalModels.jl32Initial look at directed acyclic graph (DAG) based causal models in regression.
-
DifferenceEquations.jl32Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.
-
PowerModelsDistributionStateEstimation.jl32A Julia Package for Power System State Estimation.
-
GlobalSensitivityAnalysis.jl32Julia implementations of global sensitivity analysis methods.
-
Spectra.jl32Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language
-
GigaSOM.jl31Huge-scale, high-performance flow cytometry clustering in Julia
-
BayesianNonparametrics.jl31BayesianNonparametrics in julia
-
QuantumTomography.jl31Julia package to perform quantum state and process tomography
Loading more...