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Julia implementations of coding-theoretic sparse Walsh-Hadamard and Fourier transforms

The RankCompV3 package is based on the julia.

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Interface between Stopping.jl and other packages

Package to simulate the operation of Storage Systems

Example environments and tools for the TrajectoryGamesBase interface.

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A Julia interface to the SDPT3 solver

Read TIFF datasets with a similar API than NetCDF files

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Implementation of The Cannon (Ness+ '15), a data-driven model for stellar spectra

Computing the Riemann Theta function in Julia

A shape preserving spline implementation in Julia

[DEPRECATED: rendered useless by MathOptInterface.Bridges] A MathOptInterface extension for Semidefinite programming solvers

Julia package for performing tensor contractions on distributed machines

A julia package for automatic finite size scaling.

URDF and meshes for the NASA Valkyrie robot

Value-at-Risk for Julia

Sanitation System Alternative Generator

SLIM internal plotting utilities

Julia wrapper for TBLIS with TensorOperations.jl

Code for cosmological SFB analysis.

Stability Tools for Threshold Vector Autoregressive Models

Bayesian Safety Signal Detection in Julia

Data types for signals of radiation detectors

A lightweight Julia package to plot a density function for a given set of values with known uncertainties.

Real-time underwater acoustic simulator

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Solve Sudoku puzzles using integer programming

Estimation of coalescence times between sequences.

Struct mapping to database in Julia

TrainRun.jl will take a user-defined train and a path as an input for a train run calculation. It can calculate the train run as a time-efficient or energy-efficient operation mode. The results can then be used within the Julia environment.

Implement the rock sample problem using POMDPs.jl

Package with data structures and functions for manipulating tensor networks

Computation and numerical approximation of survival signatures.

Proximal operators for use with RegularizedOptimization

Package to help connect Julia with the SymPy library of Python

Optimally tuned ridge regression when features can be partitioned into groups.