The highly versatile synthetic data generator

Implementation of several algorithms for combinatorial bandits, a kind of reinforcement learning.

Next Generation Genomic Prediction Tools

A generalized experience replay buffer for reinforcement learning

A collection of chaotic ODEs.

Julia package for performing MPI measurements

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

Connecting MLJ and MLFlow

An NLPModels Interface to Knet

JudiLing: An implementation for Linear Discriminative Learning in Julia.

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Find timezone from latitude and longitude

Exoplanet System Simulation: core files

Fractional order systems toolbox in Julia.

Within-subject variance estimation by robust regression (WiSER)

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

Extension of MathOptInterface to complex sets

An Open Nonlinear Structural Analysis Solver in Julia

Support for Fourier-based spaces in ApproxFun

Learning sparse Pauli noise using the population recovery algorithm.

Open-source time-Temperature inversion of thermochronometric data

Abstract types and math operations for OpenQuantumTools.jl.

Repository implementing MLJ interface for MultivariateStats models.

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

Julia package to seamlessly integrate Mathematica's MathLink with Julia's native Symbolics package

A Julia package for higher-order network analysis

Robust SVD and PCA in Julia

Fast computation of local (Pearson) correlation coefficients for arbitrary size tensors of real and complex numbers.

Tools for solving constrained dynamical systems

A wrapper for the Python PyDSTool library for the SciML Scientific Machine Learning organization

Fast, minimal histogram algorithms.

Prescribed flow models for testing cloud microphysics schemes.

Prescribed flow models for testing cloud microphysics schemes.

Time zone aware DateTimes, in UTC only

Battery modelling using Jutul.jl and BattMo in MRST

NeuralFieldEq.jl: An efficient solver to compute Neural Field Equations in several scenarios

Rotation methods for factor analysis and principal component analysis in Julia

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

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Finite Element tools in Julia: Heat diffusion application