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
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.
stochasticfrankwolfe
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
bboptpy
Powerful and scalable black-box optimization algorithms for Python and C++.
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)"
compression-aware-sfw
Code to reproduce the experiments of "Compression-aware Training of Neural Networks using Frank-Wolfe"
cooper-optim
A general-purpose, deep learning-first library for constrained optimization in PyTorch