Bayesian optimal design of experiments in Julia. Note: This is just a mirror of the main branch for the Julia General registry. Development happens at sourcehut. Please report any issues over there.

Common utilities for high-contrast imaging

A simplified Julia-native implementation of the Dormand-Prince 5th and 8th order solvers

Solution objects for the GeometricIntegrators ecosystem

Forecast evaluation procedures for time-series data

Core functions to obtain L1-L2 penalized estimates for matrix linear models.

A Julia interface to the Open Islamic Texts Initiative (OpenITI) data

Define piecewise uniform densities over hypergrids

Backend-agnostic differentiation with symbolic pass-through in Julia.

This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system

A Julia package for Empirical Mode Decomposition.

Arrays with encoded/compressed internal data representation for Julia

Scattering and inverse scattering for the AKNS system

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A pure Julia MonetDB Connector.

Julia implementation of maximum entropy graph models

Basic structures for finite elements based on ExtendableGrids infrastructure

Invariant Causal Prediction in pure Julia

A toolbox for the McCabe-Thiele method for Julia

A collection of background subtraction algorithms for spectroscopic data

Fault tolerant control (FTC) for multicopters, etc.

Clustering using Silhouettes and Genetic Algorithms

Geostatistical estimation solvers for the GeoStats.jl framework

Molecular backbone geometry utilities

Makie recpies for visualising KmerAnalysis types and results.

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An analogue to SciPy's stats module "binned_statistic" that's faster and written in native Julia

Operator pack for Jets.jl. Part of the COFII framework.

Support for spaces with singularities in ApproxFun

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Artifacts for Geospatial Data Science

Adaptive window implementation (ADWIN2: Bifet & Gavalda)

A standalone machine learning metrics library developed for Knet

Set of CUDA accelerated medical segmentation metrics.

Move your models to Knet!

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

NetCDF support for climate model output and domain decompositions

Linear and logarithmic quantization for Julia arrays

Support for orthogonal polynomial-based spaces in ApproxFun

Lightweight package designed to interact with the data of the 2014 Google Hash Code