A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP (SQP) and IPOPT (barrier/interior-point method) in a modern and modular way, and unlocks methods never seen before. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

Blockwise Direct Search

Portfolio optimization and back-testing.

Slides, exercises and resources for the 2023-2024 course "Advanced High Performance Computing" under the at "Scientific and Data-Intensive Computing" Master Program at University of Trieste

A solver for mixed-integer nonlinear optimization problems

This configuration file includes some common settings to optimize MySQL or MariaDB performance, such as the innodb_buffer_pool_size, query_cache_size, and wait_timeout parameters.

Методы оптимизации для нахождения минимума функции

Making your benchmark of optimization algorithms simple and open

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

ET is a Batch/PowerShell GUI script to improve performance, debloat, optimize and enhance privacy for Windows 10/11.

Vector Embeddings for Quantum Mechanics

JUlia augMENted ε-consTraint Optimisation (Jumento) - A package with AUGMECON and AUGMECON 2

A software that allows you to schedule and send automatic custom celebration messages to your friends, colleagues, or family members on special occasions like birthdays, anniversaries, or any other significant events

Numerical optimization in pure Rust

This repository contains notes, slides, labs, assignments and projects for the Mathematics for Machine Learning and Data Science by DeepLearning.AI and Coursera.

This repository contains a C# application designed to solve the transportation problem using the North-West Corner Rule for initial solutions and the Potential Method for optimization, effectively minimizing transportation costs between multiple suppliers and consumers.

Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)

GPU Framework for Radio Astronomical Image Synthesis

This is the official repository for the book Transformers - The Definitive Guide

19 optimizing insights on ensemble learning with Python.