Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc.

RELOG: Reverse Logistics Optimization

Support for Fourier-based spaces in ApproxFun

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

Makie plots with legends and labels and everything

Github repo about Taylor diagram implementation in Julia.

TensorNetworkCodes is a Julia library developed to support the following research: https://arxiv.org/abs/2109.11996

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Simulate EEG / ERP data with overlap, non-linear effects, multiple regression

Time zone aware DateTimes, in UTC only

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Just the Comrade Models

Reference single time step propagators. Part of the COFII framework.

Library for simulating time binned photons in Waveguide Quantum Electrodynamics

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

Maps from the line into spaces

Voronoi diagrams in N dimensions using an improved raycasting method.

Julia implementation of the Taylor-Fourier Transform (TFT)

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Data processor for Vlasiator

Low-cost linear algebra functions for matrices with units

Drawing functions for `SimpleGraphs`

Differentiable acoustic ray tracers

Algorithms for performing angular differential imaging (ADI)

A Julia package for modelling Algorithmic Recourse Dynamics.

Alpha stable and sub-Gaussian distributions in Julia

Solutions for combinatorial problems using symbolic methods.

Julia implementation of Autocorrelation Wavelets.

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Bayesian addition to Flux.jl

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Compute Bell inequalities and their quantum violations.

A companion package for Microbiome.jl for working with the Biobakery family of computational tools

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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Toolbox for categorical time-series analysis.

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

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

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