Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Tools for solving constrained dynamical systems

Distributions for continuous variables

A Julia interface to the Firebird RDBMS

Prescribed flow models for testing cloud microphysics schemes.

🧄 garlic growth simulation model

Simulate evolutionary biology models with Gillespie algorithm.

Julia package to seamlessly integrate Mathematica's MathLink with Julia's native Symbolics package

Julia implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr

A Package for Estimating Stochastic Frontier Models using Julia

Time zone aware DateTimes, in UTC only

Github repo about Taylor diagram implementation in Julia.

Robust SVD and PCA in Julia

Tools for robot visualization in Julia.

Just the Comrade Models

A Julia package for computing singular integrals

Calculates multidimensional functions faster by exploiting their separability.

Generates a cellular automata animation of the given GitHub repository.

Strategy simulation for simple games.

Layerwise Relevance Propagation in Julia.

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

Many-body objects for quantum computing: a Julia implementation

Algorithms for performing angular differential imaging (ADI)

Julia implementation of Autocorrelation Wavelets.

Compute Bell inequalities and their quantum violations.

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

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

Counterfactual Regret Minimization Game solution methods for Julia

Utilities for working with DataFrames of `Intervals.jl` or `TimeSpans.jl` objects.

Save videos from Julia

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 Makie theme

Definitions of the Julia types for simulating an ISO's market clearing.

BitArray representation of genetic sequences in Julia

Geometry optimization for molecular simulation

Extension of PowerSimulations.jl to model Hydropower devices

Repository for plotting implicitly defined surfaces and curves in R3.

Independent Hypothesis Weighting for multiple testing with side-information in Julia

Tools to specify and simulate individual based models, using applied category theory