Dependency Packages
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Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor
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DifferentialEquations.jl2503Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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JuMP.jl1956Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Gadfly.jl1849Crafty statistical graphics for Julia.
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Turing.jl1807Bayesian inference with probabilistic programming.
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Gen.jl1725A general-purpose probabilistic programming system with programmable inference
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Plots.jl1710Powerful convenience for Julia visualizations and data analysis
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MLJ.jl1589A Julia machine learning framework
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Knet.jl1403Koç University deep learning framework.
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Zygote.jl135321st century AD
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UnicodePlots.jl1303Unicode-based scientific plotting for working in the terminal
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ModelingToolkit.jl1212An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
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Symbolics.jl1169A fast and modern CAS for a fast and modern language.
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AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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Distributions.jl987A Julia package for probability distributions and associated functions.
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CUDA.jl974CUDA programming in Julia.
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Optim.jl960Optimization functions for Julia
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TensorFlow.jl866A Julia wrapper for TensorFlow
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DSGE.jl798Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
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Oceananigans.jl781🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
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ForwardDiff.jl778Forward Mode Automatic Differentiation for Julia
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DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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Javis.jl769Julia Animations and Visualizations
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JuliaDB.jl765Parallel analytical database in pure Julia
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OnlineStats.jl762âš¡ Single-pass algorithms for statistics
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NeuralNetDiffEq.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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DynamicalSystems.jl725Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
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DiffEqTutorials.jl694Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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SciMLTutorials.jl694Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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LoopVectorization.jl659Macro(s) for vectorizing loops.
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POMDPs.jl587MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
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FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai
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Agents.jl554Agent-based modeling framework in Julia
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Gridap.jl539Grid-based approximation of partial differential equations in Julia
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GLM.jl538Generalized linear models in Julia
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Tullio.jl534â…€
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StatsBase.jl525Basic statistics for Julia
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ScikitLearn.jl520Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
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Optimization.jl512Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
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