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.

Julia package for producing jammed configurations of hard-spheres using iterative linear programming.

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

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

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

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

A Julia package for higher-order network analysis

A Julia package for real-time audification of ODEs and SDEs

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

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.

Julia package for Bulk-And-Tails (BATs) distribution, along with R interface

Split and recombine your data

Autologistic regression models in Julia

Locally weighted regression solver for the GeoStats.jl framework

Simple extension to Distributions.jl to incorporate interpolated PDFs

Automatic Higher Order Differentiation for Generic Julia Functions

A package for Random Matrix Theory

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Mixed model solution for replicate designed bioequivalence study.

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Julia stochastic processes package.

Point-based value iteration solver for POMDPs

Layerwise Relevance Propagation in Julia.

Use PETSc solvers in sequential and parallel Julia runs

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

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

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

Experimental Approach to McCormick Relaxation Source-Code Transformation

Solver for complemetarity-based dynamics.

Quantum mechanical few body systems in Julia

High performance hybrid Monte Carlo simulation

Differentiable acoustic ray tracers

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A Julia package for computing singular integrals

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

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BioCCP.jl exploits the Coupon Collector Problem for sample size determination in combinatorial biotechnology.