Dependency Packages
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Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor
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Turing.jl1807Bayesian inference with probabilistic programming.
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Knet.jl1403Koç University deep learning framework.
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AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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CUDA.jl974CUDA programming in 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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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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NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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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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DiffEqTutorials.jl694Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai
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ClimateMachine.jl433Climate Machine: an Earth System Model that automatically learns from data
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Transformers.jl420Julia Implementation of Transformer models
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WaterLily.jl405Fast and simple fluid simulator in Julia
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DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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TensorOperations.jl351Julia package for tensor contractions and related operations
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GeometricFlux.jl330Geometric Deep Learning for Flux
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Metalhead.jl297Computer vision models for Flux
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Molly.jl281Molecular simulation in Julia
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CuArrays.jl281A Curious Cumulation of CUDA Cuisine
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DiffEqOperators.jl279Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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Metal.jl266Metal programming in Julia
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XGBoost.jl262XGBoost Julia Package
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SpeedyWeather.jl256The little sister of a big weather forecast model
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DiffEqSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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SciMLSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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ParallelStencil.jl238Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
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AMDGPU.jl228AMD GPU (ROCm) programming in Julia
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DynamicGrids.jl211Grid-based simulations in Julia
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MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia
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DiffEqGPU.jl202GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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Torch.jl183Sensible extensions for exposing torch in Julia.
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ReservoirComputing.jl172Reservoir computing utilities for scientific machine learning (SciML)
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NNlib.jl165Neural Network primitives with multiple backends
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FourierFlows.jl161Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
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Omega.jl155Causal, Higher-Order, Probabilistic Programming
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TuringModels.jl153Implementations of the models from the Statistical Rethinking book with Turing.jl
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GraphNeuralNetworks.jl153Graph Neural Networks in Julia
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