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Makie visualization module for TopOpt.jl

Compute solar radiation and generate sky domes for VPL

Some randomization methods for Randomized Quasi Monte Carlo e.g. scrambling, shift

A Julia package for Tomography.

This package simplifies evolutionary algorithms for applications in systems biology. It can be used to generate oscillating reaction networks, networks that match input timeseries data, or fit parameters (rateconstants).

Surrogate distance models

Julia package for computing fluid properties near shock waves.

A julia implementation of SMG2S (Sparse Matrix Generator with Given Spectrum)

Support for univariate and multivariate truncated distributions in Julia

Detect topological entities on a triangular surface mesh.

SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.

An implementation of Shamir's Secret Sharing protocol in Julia

External Machine Learning Libs for TSML

Data types and utilities for SMLM coordinate data.

Frame-connection on localization microscopy data

This package fits renewable time series profiles from historical data to future target capacity factors.

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Metrics for SMLM

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Virtual Age Models for Julia

Julia package for recovering stratified spaces underlying point clouds.

Simple predictive models for tumor growth, and tools to apply them to clinical data

Basic time-series features in Julia

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Julia simulation package for TKTD models

A interior-point solver for semidefinite programming written in pure Julia.

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Optimization of geometric and photometric models for visual geometry tasks

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Tensor decomposition algorithms

Compuation of the Smoothed Spectral Abscissa (SSA) and its gradient

Global sensitivity analysis in a subspace of total parameter space

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A Julia implementation of the statistical methods for frequency-based corpus linguistics as outlined in the book "Word Frequency Distributions" by R. Harald Baayen

Trace estimation methods for matrix functions.