Dependency Packages
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Flux.jl2993Relax! Flux is the ML library that doesn't make you tensor
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IJulia.jl2230Julia kernel for Jupyter
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DifferentialEquations.jl1769Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
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Gadfly.jl1659Crafty statistical graphics for Julia.
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Gen.jl1546A general-purpose probabilistic programming system with programmable inference
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JuMP.jl1442Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Knet.jl1273Koç University deep learning framework.
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Plots.jl1267Powerful convenience for Julia visualizations and data analysis
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Genie.jl1255The highly productive Julia web framework
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Turing.jl1226Bayesian inference with probabilistic programming.
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MLJ.jl1077A Julia machine learning framework
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Zygote.jl978Intimate Affection Auditor
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Makie.jl855High level plotting on the GPU.
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AlphaZero.jl842A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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TensorFlow.jl831A Julia wrapper for TensorFlow
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Optim.jl703Optimization functions for Julia
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Distributions.jl687A Julia package for probability distributions and associated functions.
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JuliaDB.jl672Parallel analytical database in pure Julia
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DSGE.jl643Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
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ModelingToolkit.jl632A 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.jl564A fast and modern CAS for a fast and modern language.
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DiffEqFlux.jl510Universal 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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ForwardDiff.jl496Forward Mode Automatic Differentiation for Julia
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OhMyREPL.jl487Syntax highlighting and other enhancements for the Julia REPL
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SciMLTutorials.jl452Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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CUDA.jl440CUDA programming in Julia.
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Oceananigans.jl433🌊 Fast and friendly fluid dynamics on CPUs and GPUs
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Convex.jl429A Julia package for disciplined convex programming
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DynamicalSystems.jl414Award winning software library for nonlinear dynamics
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GLM.jl376Generalized linear models in Julia
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QuantEcon.jl375Julia implementation of QuantEcon routines
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LoopVectorization.jl357Macro(s) for vectorizing loops.
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POMDPs.jl356MDPs 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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ApproxFun.jl355Julia package for function approximation
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Catlab.jl340A framework for applied category theory in the Julia language
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NeuralPDE.jl327Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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NeuralNetDiffEq.jl327Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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QuantumOptics.jl324Library for the numerical simulation of closed as well as open quantum systems.
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Luxor.jl314Simple drawings using vector graphics; Cairo "for tourists!"
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