Dependency Packages

Flux.jl2245Relax! Flux is the ML library that doesn't make you tensor

DifferentialEquations.jl1273Multilanguage suite for highperformance solvers of differential equations

Knet.jl1127Koç University deep learning framework.

DSGE.jl552Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

CUDAnative.jl383Julia support for native CUDA programming

DynamicalSystems.jl284Award winning software library for chaos and nonlinear dynamics

DiffEqFlux.jl276Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers

QuantumOptics.jl273Library for the numerical simulation of closed as well as open quantum systems.

CuArrays.jl273A Curious Cumulation of CUDA Cuisine

TextAnalysis.jl267Julia package for text analysis

Oceananigans.jl255🌊 Fast and friendly fluid dynamics on CPUs and GPUs

DiffEqTutorials.jl217Tutorials for using the DiffEq ecosystem

ModelingToolkit.jl216A modeling framework for automatically parallelized scientific computing in Julia

LoopVectorization.jl203Macro(s) for vectorizing loops.

TensorOperations.jl194Julia package for tensor contractions and related operations

ControlSystems.jl191A Control Systems Toolbox for Julia

Soss.jl166Probabilistic programming via source rewriting

ClimateMachine.jl161Climate Machine: an Earth System Model that automatically learns from data

Modia.jl158Domain Specific Extension of Julia for Modeling and Simulation

StatisticalRethinking.jl155Julia version of the R package statistical rethinking (WIP)

Metalhead.jl147Computer vision models for Flux

Stan.jl139Stan.jl illustrates the usage of the new 'single method' packages, e.g. StanSample, StanOptimize, etc.

OrdinaryDiffEq.jl127DiffEq solvers for ordinary differential equations

NeuralNetDiffEq.jl112PhysicsInformed Neural Network and Deep BSDE Solvers of Differential Equations

Sundials.jl109Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA).

ReinforcementLearning.jl107A reinforcement learning package for Julia

GeometricFlux.jl102Geometric Deep Learning for Flux

FixedEffectModels.jl99Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

ODE.jl95Assorted basic Ordinary Differential Equation solvers

MonteCarloMeasurements.jl93Propagation of distributions by MonteCarlo sampling: Real number types with uncertainty represented by samples.

DiffEqBiological.jl90DiffEq related functionality for defining biological models

RayTracer.jl87Differentiable RayTracing in Julia

Transformers.jl82Julia Implementation of Transformer models

DiffEqOperators.jl76Linear operators for discretizations of differential equations

Caesar.jl73Robot toolkit: Towards nonparametric and parametric navigation solutions

StochasticDiffEq.jl73DiffEq solvers for stochastic differential equations

CUDA.jl71CUDA programming in Julia.

Yota.jl70Reversemode automatic differentiation in Julia

DiffEqBayes.jl69Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations

TimeseriesPrediction.jl64Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis
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