EBIC - a biclustering algorithm in Julia

For analysis and plotting of your isotopic ratios. In the spirit of (but not derived from) IsoplotR and the original Isoplot

Tools for solving constrained dynamical systems

Carleman linearization for dynamical systems in Julia

Maurer-Cartan-Lie frame connections ∇ Grassmann.jl TensorField derivations

Fast computation of local (Pearson) correlation coefficients for arbitrary size tensors of real and complex numbers.

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Backend for Lux.jl

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Image smoothing algorithms

The ultimate collection of preconditioners

A julia Bokeh server

Julia implementation of Krotov's method for quantum optimal control

Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)

LRMoE implemented in Julia

Sequences basics

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Julia package for Determinantal Point Processes

Tools for working with ITS_LIVE glacier velocity data

Parsers and processing for geoenergy data file formats in Julia.

Differentiable wrapper for FrankWolfe.jl convex optimization routines

Hand translated version of Cleveland's Lowess.c

🧄 garlic growth simulation model

Autologistic regression models in Julia

Optimal Transport Networks in Spatial Equilibrium - in Julia

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

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A lightweight Consensus-Based Optimisation package for Julia

Tests for constraint-based metabolic models

Fast implementations of FastICA and DUET for blind source separation

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

Fun with indices (and functions on them)

Julia Package for Matrix Imputation

Reinforcement learning framework to find and analyze the likeliest failures of a system under test.

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

Efficient RAG knowledge pack creator from online Julia documentation

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

Interfaces for deep learning data pipelines.

Compute the nearest correlation matrix using a pure Julia implementation

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