Dependency Packages
-
RAPIDS.jl17An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl
-
Jags.jl17Julia package for using Jags as an external program
-
Gogeta.jl17Representing machine learning models using mathematical programming
-
QuantumNLDiffEq.jl17-
-
ContinuousTransformations.jl17Continuous transformations from ℝ or ℝⁿ to various open sets
-
PanelShift.jl17Time-aware lags and leads in panel data.
-
TimeDag.jl17A computational graph for time-series processing.
-
Nclusion.jl17Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data
-
PredictMD.jl17Uniform interface for machine learning in Julia
-
NeuralGraphPDE.jl17Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
-
Marconi.jl16A Julia Library for DC to Daylight
-
TMLE.jl16A pure Julia implementation of the Targeted Minimum Loss-based Estimation
-
GIRFReco.jl16An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
-
RadiationSpectra.jl16Toolkit for analysis of radiation spectra in Julia
-
LiftedTrajectoryGames.jl16A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?
-
KrigingEstimators.jl16Kriging estimators for the GeoStats.jl framework
-
StanLogDensityProblems.jl16LogDensityProblems implementation for Stan models
-
PlantSimEngine.jl15A simulation engine for models related to plants
-
Atomistic.jl15Package that provides a integrated Julia workflow for molecular dyanmics simulations.
-
Adversarial.jl15Adversarial attacks for Neural Networks written with FluxML
-
GraphNets.jl15Simple, blazing fast, message-passing graph neural network.
-
WildBootTests.jl15-
-
Microstructure.jl15Julia package for microstructure imaging
-
SimulationBasedInference.jl15A flexible toolkit for simulation based inference in Julia
-
MPSKitModels.jl15-
-
EconomicScenarioGenerators.jl15Status: Technical Preview
-
DJUICE.jl15Differentiable JUlia ICE model
-
SossMLJ.jl15SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language
-
DifferentialEvolutionMCMC.jl14A Julia package for Differential Evolution MCMC
-
Hopfields.jl14Modern Hopfield layer implementations in Julia
-
RayTracing.jl14High performance cyclic ray tracing algorithm for neutron transport in Julia.
-
DataTools.jl14-
-
PanelDataTools.jl14Convenient functions for working with panel (longitudinal) data in Julia
-
TrustRegionMethods.jl14Trust region methods for nonlinear systems of equations in Julia.
-
StatisticalMeasures.jl14Measures (metrics) for statistics and machine learning
-
Unitary.jl14A differentiable parametrization of a group of unitary matrices.
-
DispersiveShallowWater.jl14Structure-preserving numerical methods for dispersive shallow water models
-
DiscreteChoiceModels.jl13Discrete choice/random utility models in Julia
-
STLCutters.jl13-
-
BayesianQuadrature.jl13Is there anything we can't make Bayesian?
Loading more...