Dependency Packages
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FourierFlows.jl204Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
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NNlib.jl201Neural Network primitives with multiple backends
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Caesar.jl184Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
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TopOpt.jl181A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.
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EvoTrees.jl175Boosted trees in Julia
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SeaPearl.jl168Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
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TuringModels.jl163Implementations of the models from the Statistical Rethinking book with Turing.jl
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Omega.jl162Causal, Higher-Order, Probabilistic Programming
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MLJBase.jl160Core functionality for the MLJ machine learning framework
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Yota.jl158Reverse-mode automatic differentiation in Julia
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GeophysicalFlows.jl153Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
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RayTracer.jl150Differentiable RayTracing in Julia
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InvertibleNetworks.jl149A Julia framework for invertible neural networks
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Strided.jl147A Julia package for strided array views and efficient manipulations thereof
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MLJFlux.jl145Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox
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EAGO.jl144A development environment for robust and global optimization
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PastaQ.jl142Package for Simulation, Tomography and Analysis of Quantum Computers
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ONNX.jl139Read ONNX graphs in Julia
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TensorCast.jl137It slices, it dices, it splices!
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Fermi.jl135Fermi quantum chemistry program
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ConformalPrediction.jl135Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
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MPSKit.jl127A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)
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FluxArchitectures.jl123Complex neural network examples for Flux.jl
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Kinetic.jl122Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
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DiffEqBayes.jl121Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
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FluxTraining.jl119A flexible neural net training library inspired by fast.ai
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MultilayerGraphs.jl118A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
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CounterfactualExplanations.jl117A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
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SymbolicNumericIntegration.jl116SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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MRIsim.jl111Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.
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Nerf.jl108-
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MLUtils.jl107Utilities and abstractions for Machine Learning tasks
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Avalon.jl106Starter kit for legendary models
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ProbabilisticCircuits.jl105Probabilistic Circuits from the Juice library
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Flux3D.jl1013D computer vision library in Julia
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MagNav.jl101MagNav: airborne Magnetic anomaly Navigation
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OptimalTransport.jl94Optimal transport algorithms for Julia
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QuantumInformation.jl92A Julia package for numerical computation in quantum information theory
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ObjectDetector.jl90Pure Julia implementations of single-pass object detection neural networks.
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Mill.jl86Build flexible hierarchical multi-instance learning models.
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