Metaheuristics
Metaheuristics: A Julia Package for Single- and Multi-Objective Optimization - Published in JOSS (2022)
uno
A next-gen SQP & barrier solver for nonlinearly constrained optimization
cppnumericalsolvers
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates
compression-aware-sfw
Code to reproduce the experiments of "Compression-aware Training of Neural Networks using Frank-Wolfe"
https://github.com/darioizzo/pagmo2
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
investigating_mitigating_failure_modes_in_pinns
This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
stochasticfrankwolfe
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
cooper-optim
A general-purpose, deep learning-first library for constrained optimization in PyTorch
bboptpy
Powerful and scalable black-box optimization algorithms for Python and C++.