Dependency Packages

Flux.jl2993Relax! Flux is the ML library that doesn't make you tensor

DifferentialEquations.jl1769Multilanguage suite for highperformance solvers of differential equations and scientific machine learning (SciML) components

Gadfly.jl1659Crafty statistical graphics for Julia.

Knet.jl1273Koç University deep learning framework.

Plots.jl1267Powerful convenience for Julia visualizations and data analysis

Turing.jl1226Bayesian inference with probabilistic programming.

Makie.jl855High level plotting on the GPU.

AlphaZero.jl842A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

JuliaDB.jl672Parallel analytical database in pure Julia

DSGE.jl643Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

ModelingToolkit.jl632A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physicsinformed machine learning and automated transformations of differential equations

DiffEqFlux.jl510Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and highperformance differential equation solving with open source software.

SciMLTutorials.jl452Tutorials for doing scientific machine learning (SciML) and highperformance differential equation solving with open source software.

CUDA.jl440CUDA programming in Julia.

Oceananigans.jl433🌊 Fast and friendly fluid dynamics on CPUs and GPUs

DynamicalSystems.jl414Award winning software library for nonlinear dynamics

CUDAnative.jl393Julia support for native CUDA programming

LoopVectorization.jl357Macro(s) for vectorizing loops.

Catlab.jl340A framework for applied category theory in the Julia language

NeuralNetDiffEq.jl327PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralPDE.jl327PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

QuantumOptics.jl324Library for the numerical simulation of closed as well as open quantum systems.

Luxor.jl314Simple drawings using vector graphics; Cairo "for tourists!"

Javis.jl313Julia Animations and Visualizations

OpticSim.jl290Optical Simulation software

ClimateMachine.jl287Climate Machine: an Earth System Model that automatically learns from data

CuArrays.jl281A Curious Cumulation of CUDA Cuisine

ControlSystems.jl279A Control Systems Toolbox for Julia

Interpolations.jl279Fast, continuous interpolation of discrete datasets in Julia

Soss.jl268Probabilistic programming via source rewriting

StatsPlots.jl265Statistical plotting recipes for Plots.jl

Transducers.jl246Efficient transducers for Julia

GeoStats.jl243An extensible framework for highperformance geostatistics in Julia

Mamba.jl237Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Agents.jl234Agentbased modeling framework in Julia

StatisticalRethinking.jl233Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

TensorOperations.jl233Julia package for tensor contractions and related operations

GaussianProcesses.jl221A Julia package for Gaussian Processes

OrdinaryDiffEq.jl216High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Loading more...