Numerical optimization in pure Rust

Portfolio optimization and back-testing.

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

ET is a powerful application to improve performance, debloat, optimize and enhance privacy for Windows 10/11.

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

Making your benchmark of optimization algorithms simple and open

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A course on Optimization Methods

A development environment for robust and global optimization

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

A list of general purpose tricks and techniques for saving tokens in PICO-8.

Line search methods for optimization and root-finding

A solver for mixed-integer nonlinear optimization problems

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

An open source library for the GPU-implementation of L-BFGS-B algorithm

💎A site, that contains systematic optimization methods and theory review

A collection of numerical methods written in Nim

Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)