Tools for solving constrained dynamical systems

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

A Julia package for sampling binomial random variates on an nVidia GPU

Time zone aware DateTimes, in UTC only

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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.

Reading, writing, and wrangling EEG signal files of BDF and EDF format in Julia

Embedded Graphs for Julia

ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.

Collection 3D visualization tools associated with the Caesar.jl and RoME.jl robot navigation packages

EBIC - a biclustering algorithm in Julia

Sparse matrices in coordinate format for Julia

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Battery modelling using Jutul.jl and BattMo in MRST

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

Terminal image encoder / decoder

A lightweight Consensus-Based Optimisation package for Julia

A backend independent shader API (For e.g. OpenGL WebGL and Vulkan)

As I want it be available, fast, complete and persistent

Client of distributed ZOOpt in Julia

Differentiable acoustic ray tracers

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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

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

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

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