Implementations of (soil) freezing characteristic curves, along with helpful tools for their optimization and inference, in Julia.

Value-at-Risk for Julia

Pure Julia implementation of tools used in Coding Theory

A Julia package for solving Riemann–Hilbert problems

-

A dynamically-structured matrix population model

Implement the rock sample problem using POMDPs.jl

The lightweight base package for numerical simulation supporting nested dynamical systems and macro-based data logger. For more functionality, see FlightSims.jl.

Benchmark BLAS Libraries

Basic Camera Models including pinhole, radial distortion and more.

-

Implementations for some distributions using a consistent API and AD-friendly code.

Registries for package feature for easy discovery.

-

Shameless and direct clone of scipy's CloughTocher2DInterpolator for Julia

Statistical analyses for Bayesian workflows

POMDPs.jl-compatible interface for defining MDPs and POMDPs with finite horizons

Computing the Riemann Theta function in Julia

Stability Tools for Threshold Vector Autoregressive Models

Read TIFF datasets with a similar API than NetCDF files

Interpolation between areas (polygons) in Julia

Astrophysical plotting interfaces for Julia

Julia package for performing tensor contractions on distributed machines

Data types for signals of radiation detectors

Visualize your everysinglestreet challenge

Geostatistical functions for the GeoStats.jl framework

-

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Univariate and multiple comparisons statistical hypothesis testing by data permutation

Tools to pick data in an interactive manner

-

Boundary integral equation methods for solving Laplace's equation on the interface and for finding surface derivatives.

3D viewer for airborne wind energy systems

Code generation for Euler-Lagrange equations.

-

Acquire GNSS signals

-

Bitstream computing got you a bit sad? Just use BitSAD!

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

A package to calculate typical pair correlations, such as Percus-Yevick, and to calculate specific particle configurations from a given pair correlation.