Dependency Packages
-
Augmentor.jl138A fast image augmentation library in Julia for machine learning.
-
Fermi.jl135Fermi quantum chemistry program
-
ImageView.jl135Interactive display of images and movies
-
AugmentedGaussianProcesses.jl135Gaussian Process package based on data augmentation, sparsity and natural gradients
-
ConformalPrediction.jl135Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
-
PlutoSliderServer.jl132Web server to run just the `@bind` parts of a Pluto.jl notebook
-
ControlSystemIdentification.jl132System Identification toolbox, compatible with ControlSystems.jl
-
ProximalOperators.jl130Proximal operators for nonsmooth optimization in Julia
-
SciMLBase.jl130The Base interface of the SciML ecosystem
-
PkgBenchmark.jl130Easy benchmark tracking for packages
-
NBodySimulator.jl128A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
-
Circuitscape.jl128Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
-
MarketTechnicals.jl127Technical analysis of financial time series in Julia
-
PDFIO.jl127PDF Reader Library for Native Julia.
-
MPSKit.jl127A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)
-
IntervalRootFinding.jl127Library for finding the roots of a function using interval arithmetic
-
TaylorIntegration.jl127ODE integration using Taylor's method, and more, in Julia
-
ThreadPools.jl125Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl
-
FluxArchitectures.jl123Complex neural network examples for Flux.jl
-
GameTheory.jl123Algorithms and data structures for game theory in Julia
-
NetworkDynamics.jl123Julia package for simulating Dynamics on Networks
-
Kinetic.jl122Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
-
DiffOpt.jl122Differentiating convex optimization programs w.r.t. program parameters
-
DiffEqBayes.jl121Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
-
LabelledArrays.jl120Arrays which also have a label for each element for easy scientific machine learning (SciML)
-
FluxTraining.jl119A flexible neural net training library inspired by fast.ai
-
ODEFilters.jl118Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
-
Zarr.jl118-
-
ProbNumDiffEq.jl118Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
-
PerceptualColourMaps.jl117Perceptually Uniform Colour Maps for Julia
-
AlgebraicMultigrid.jl117Algebraic Multigrid in Julia
-
CounterfactualExplanations.jl117A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
-
ClimateTools.jl116Climate science package for Julia
-
Eirene.jl116Julia library for homological persistence
-
PartitionedArrays.jl116Large-scale, distributed, sparse linear algebra in Julia.
-
SymbolicNumericIntegration.jl116SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
-
Wflow.jl115Hydrological modeling
-
SumOfSquares.jl115Sum of Squares Programming for Julia
-
Causal.jl115Causal.jl - A modeling and simulation framework adopting causal modeling approach.
-
LowLevelParticleFilters.jl114State estimation, smoothing and parameter estimation using Kalman and particle filters.
Loading more...