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(Hierarchical) Phylogenetic Models in Julia

An implementation of the cross entropy method that works well for time series

A package for modeling and solving Quadratic Program Networks.

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

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

Makie plots with legends and labels and everything

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

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.

Stan versions of StatisticalRethinking models.

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

PAGE-2020 - a Julia implementation of the PAGE Integrated Assessment Model

Differentiable wrapper for FrankWolfe.jl convex optimization routines

NeuralFieldEq.jl: An efficient solver to compute Neural Field Equations in several scenarios

A Julia implementation of the Sort-merge join algorithm.

An `AbstractTestSet` implementation and a helper macro for test execution with auto discovery and a neater test summary.

Julia implementation of Krotov's method for quantum optimal control

Battery modelling using Jutul.jl and BattMo in MRST

EBIC - a biclustering algorithm in Julia

Graphical User Interface for MAGEMin, which runs in your web-browser.

Parsers and processing for geoenergy data file formats in Julia.

A collection of functions to analyze phonetic data

Distributions for continuous variables

Bayesian addition to Flux.jl

Extra non essential functionality for MixedModels.jl

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

A Julia based implementation of Plug and Play Language Models

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Strategy simulation for simple games.

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Geometry optimization for molecular simulation

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

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

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

Variable Selection with Knockoffs

A Makie theme

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

Perform image hashing in julia

Fast implementations of FastICA and DUET for blind source separation