Nonlinear diffusion problems in Julia

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Strategy simulation for simple games.

A Julia library to resample timeseries (from TimeSeries.jl)

Http://proceedings.mlr.press/v119/bruinsma20a.html

Data processor for Vlasiator

Solver for complemetarity-based dynamics.

Repository for plotting implicitly defined surfaces and curves in R3.

Generates a cellular automata animation of the given GitHub repository.

Calculates multidimensional functions faster by exploiting their separability.

Fast implementations of FastICA and DUET for blind source separation

This is a Julia library for processing ESA Sentinel 2 satellite data.

Voronoi diagrams in N dimensions using an improved raycasting method.

Experimental Approach to McCormick Relaxation Source-Code Transformation

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A non-linear Schrödinger equation solver for julia

Perform image hashing in julia

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Use PETSc solvers in sequential and parallel Julia runs

Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

Save videos from Julia

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

Provides a general framework for implementing and performing Kernel Density Estimation

Symmetry-allowed k ⋅ p expansions

A Makie theme

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

Traits and low-level utilities for mass spectrometry

Optimization of Energy Communities in Julia

Model comparison functions for statistical models as used in StatisticalRethinking. Version 2 will likely use or be based on ParetoSmooth.jl.

Package for modeling glycolysis activity

Http://proceedings.mlr.press/v119/bruinsma20a.html

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A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

A julia package to compute the Distribution of Relaxation Times (DRT) of a given set of impedance measurements.

Interfaces for deep learning data pipelines.

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Toolbox for categorical time-series analysis.

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

A companion package for Microbiome.jl for working with the Biobakery family of computational tools