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

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

Physical vector and particle types for Julia

RELOG: Reverse Logistics Optimization

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(Hierarchical) Phylogenetic Models in Julia

Alignment and comparison of small molecules read from .sdf files represented as Gaussian Mixture Models.

An Open Nonlinear Structural Analysis Solver in Julia

Just the Comrade Models

A Julia package for kernel functions of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

Support for reading and using pseudopotentials in 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

Maps from the line into spaces

Save videos from Julia

🔵 Interface and drivers for integrating Solvers and Samplers with the JuMP/MOI ecosystem

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

Toolbox for categorical time-series analysis.

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

Use PETSc solvers in sequential and parallel Julia runs

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

Utilities to read/write extended GSLIB files in Julia

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

Solutions for combinatorial problems using symbolic methods.

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

A package to handle the domain of variables in JuliaConstraints packages.

Non-compartmental pharmacokinetics analysis for Julia.

A collection of structures to define observation or action spaces of Reinforcement Learning environments. [May be moved into CommonRLInterface once stable]

Julia implementation of the Taylor-Fourier Transform (TFT)

Data processor for Vlasiator

Counterfactual Regret Minimization Game solution methods for Julia

Interfaces for deep learning data pipelines.

Geometry optimization for molecular simulation

Variable Selection with Knockoffs

Extension of PowerSimulations.jl to model Hydropower devices

A toolkit for the quantum and classical Dicke model in Julia.

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Algorithms for performing angular differential imaging (ADI)

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

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