pygmo
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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/cvxgrp/cvxportfolio
Portfolio optimization and back-testing.
https://github.com/forieux/qmm
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
https://github.com/anuragagrawaal/pyportfolioanalysis
'Portfolio Analysis, methods for portfolio optimization'
https://github.com/toschaefer/lucon.jl
loss optimization under unitary constraint
bboptpy
Powerful and scalable black-box optimization algorithms for Python and C++.
on-the-fly-guidance
[MICCAI 2024] On-the-Fly Guidance Training for Medical Image Registration. Pre-print available in link below.
quantumve
Vision Transformer embeddings enable scalable quantum SVMs with real-world accuracy gains.
delicoco-ieee-transactions
In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.