Digital signal processing for radiation detectors

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

Modular/extensible Julia library for Computer Adaptive Tests

Conversions between Distributions.jl distributions and MeasureTheory.jl measures.

Generalized Estimating Equations (GEE) in Julia

Interfaces for deep learning data pipelines.

Cumulants based features selection and outlier detection

Julia wrapper for the Coinbase Pro API

A julia package to implement model selection algorithms on basic regression models.

Mixed model solution for replicate designed bioequivalence study.

Generates a cellular automata animation of the given GitHub repository.

Efficient RAG knowledge pack creator from online Julia documentation

Package to map SPH particle data to a cartesian grid

A framework to define and output observables and statistics from CliMA simulations

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

Julia package to easily manage Sessions using Genie.jl Framework.

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

Julia implementation of the Taylor-Fourier Transform (TFT)

Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

Nonlinear diffusion problems in Julia

Implementation of a drone surveillance problem with POMDPs.jl

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

Hypothesis tests of calibration.

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Counterfactual Regret Minimization Game solution methods for Julia

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Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.

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

Julia package for performing Bloch simulations within the context of Magnetic Resonance Imaging

QGIS Processing from Julia

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

A non-linear Schrödinger equation solver for julia

A Julia package to represent strided views over a parent DenseArray

Experimental Approach to McCormick Relaxation Source-Code Transformation

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

Save videos from Julia

Access Quandl data easily

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.