Julia bindings to the Intel Vector Statistics Library.

Julia macros for logging to Weights & Biases (wandb.ai).

Julia package for handling various wave-equations and (non-linear) eigenvalue problems

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Optimally weighted PCA for samples with heterogeneous quality

Helping you find and include docstrings in julia

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Functions for converting XML documents to other formats

Yeo-Johnson Transform

Provides some license checking functionality in Julia by wrapping some of the Go library `licencecheck` and supplying some utilities

Julia code to perform piecewise linear interpolation in an arbitrary number of dimensions.

MendelBase contains the base functions of OpenMendel.

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MFrontInterface provides Julia bindings to MFront via MFrontGenericInterfaceSupport

Minimal automatic differentiation in Julia

Minimal Reinforcement Learning

Calculation and uniform sampling of minimum-volume enclosing ellipsoids

ML models benchmarks on public dataset

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

A Julia package to work with integers mod 2, including arrays

Modal decision trees, but it's sequential covering.

MOdelica Scripting Tools - scripts that help to interact with modelica models through OMJulia and OMPython

A Julia package for reading molecular dynamics simulation trajectories.

A Julia package for integration of packages of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

MPI based parallel for method of moments (MoM) and MLFMA (https://github.com/deltaeecs/MoM_AllinOne.jl.jl)

Algorithm for motif detection in Categorical time-series.

Qubit-state Reconstruction algorithm based on MPS-SwapTest hybrid method.

Multivariate Response Variance Component Models

A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

Port of MurmurHash3 to pure Julia, adding support for hashing any AbstractString without converting first

A dummy package for the Julia Concise Tutorial

Performant arrays where each axis can be named

Create and convert naming conventions

Read & write netcdf file via DataFrames

Nonlocal Electrostatics in Structured Solvents

Network Hawkes processes in Julia.

Extensions to Julia's LibUV to help with working with multiple NICs per node

NeuroFlow is an experimental deep learning framework written in Julia.