PoGO is a Julia package that facilitates automatic piecewise linearization of various non-linear functions within JuMP models.

A Julia interface to the SDPA semidefinite programming solver

Lightweight module of neural differential equations in Kinetic.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.

Deprecated package (use instead Modia.jl)

A simple library for handling NMR data in Julia

-

Julia library for scheduling

A high-performance library for gradient based quantum optimal control

-

Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia

Additional algorithms for the `SimpleGraphs` module that rely on integer programming

-

A Julia package to perform Tikhonov regularization for small to moderate size problems.

Develop tools for ensemble Kalman filter

Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith

A Julia package for handle genome graph in the GFA format.

A Julia package for mapping qualitative data patterns to regions of a model's parameter space.

Vecchia approximations for Gaussian log-likelihoods

LP and MILP relaxation sequences for univariate functions

Optimal experimental design of ODE and DAE systems in julia

Coordinate and Incremental Aggregated Optimization Algorithms

Variography for the GeoStats.jl framework

Kite and tether models for the simulation of kite power systems

-

Toolbox for quantum information, nonlocality, and entanglement

Modular random feature approximation in Julia

A Julia interface to the SDPNAL+ solver

Differentiable constraint-based metabolic models

IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.

-

Fast, allocation-free PSF representations

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Package for identifying optimal bids.

A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA)

Bundle Methods in Julia

Julia Package for Count Data Time Series

A Julia/JuMP Package for Joint Optimization of Power and Water Distribution Networks

-