Julia wrapper for Devito functionality. Part of the COFII framework.

Direct transcription of an optimal control problem and resolution

LearningHorse.jl is the ML library for JuliaLang.

A scatter operation library for neural network

HorseML.jl is the ML library for JuliaLang.

MLJ.jl interface for JLBoost.jl

Passive tracer dynamics pseudospectral solvers with Julia and FourierFlows.jl.

The fastest Tropical number matrix multiplication on GPU

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth

Lightweight module of physical formulations in Kinetic.jl

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A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

A Julia package for computing SU(N) Clebsch-Gordan Coefficients.

MLJ.jl interface for JLBoost.jl

Connecting MLJ and MLFlow

GPU Based 3D Finite Volume Fluid code written in Julia

Julia implementation of various electron-correlation methods (main focus on coupled cluster methods).

High-performance Julia package for online learning of binomial synaptic release models

Trust-region methods with partitioned quasi-Newton approximations

Ship maneuvering simulation tool with respect to ShipMMG model

Massively-parallel exact nearest neighbor search in Julia.

Package for the Rigorous Computation of Invariant Measures

Various correlation functions for 1,2, and 3 dimensional arrays

A Julia package for building production-ready measures (metrics) for statistics and machine learning

Static Stencil mapping for Julia

An NLPModels Interface to Knet

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Modular tracking algorithm for various GNSS Systems

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Prescribed flow models for testing cloud microphysics schemes.

Prescribed flow models for testing cloud microphysics schemes.

A package for obtaining the effective time-averaged Lindbladian.

TensorNetworkCodes is a Julia library developed to support the following research: https://arxiv.org/abs/2109.11996

Backend for Lux.jl

Neural-Network Outlier Detection Algorithms for Julia

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A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning