Medically-informed data preprocessing for machine learning

Ground-motion simulation via the Stochastic Method

Julia stochastic processes package.

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Package to map SPH particle data to a cartesian grid

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

Julia package to easily manage Sessions using Genie.jl Framework.

A Julia interface to the SeDuMi SDP solver

Extension of `Graphs.jl` to graphs with named vertices.

Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

Proximal Augmented Lagrangian solver for solving multiperiod contingency-constrained ACOPF

Non-compartmental pharmacokinetics analysis for Julia.

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Modular Julia-based agent framework to implement multi-agent systems

A custom branch-and-bound algorithm for solving low-rank matrix completion to certifiable optimality

A Julia package for solving Riemann–Hilbert problems

Ocean components for the PALEO biogeochemical framework

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Chron.jl + basin subsidence analysis

Bayesian Safety Signal Detection in Julia

Runge-Kutta Methods in Julia

A high performance Julia adaptation of the code from "Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations" (Gordon et al 2016)

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A collection of systems of polynomials for benchmarking, testing etc.

A repository for adaptive transport maps

Utilities for working with NIST StRD

Computation and numerical approximation of survival signatures.

🍃 coupled leaf gas-exchange model

Stability Tools for Threshold Vector Autoregressive Models

The J-Quants API wrapper for Julia

Basic polynomials with exact coefficients

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

Network Hawkes processes in Julia.

Optimal presentation schedules using binary optimization, in Julia via JuMP.

A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Julia wrapper for TBLIS with TensorOperations.jl

The RankCompV3 package is based on the julia.

Julia code for general and low-rank semidefinite optimization