Julia package of regularization functions for machine learning
MIT License
A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudosp...
Data Structures for Optimization Models
Implementation of a Partial Least Squares Regressor
Optimization functions for Julia
Linear Operators for Julia
Regularization paths for MCP and SCAD penalized regression models
Fast inference for Gaussian processes in problems involving time. Partly built on results from ht...
A Julia interface to the NLopt nonlinear-optimization library
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
JuMP-based toolbox for solving bilevel optimization problems
Julia package for function approximation
A framework for composing Neural Processes in Julia
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Abstract operators for large scale optimization in Julia
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)