529 Open source projects that are alternatives of or similar to gibbous

A JavaScript library to allocate and optimize financial portfolios.

The Operator Splitting QP Solver

Slides and notebooks for my tutorial at PyData London 2018

ROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver

Making your benchmark of optimization algorithms simple and open

Awesome list for Neural Network Optimization methods.

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

oj! Algorithms

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

🎯 A comprehensive gradient-free optimization framework written in Python

A tour of different optimization algorithms in PyTorch.

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

DFO-GN: Derivative-Free Optimization using Gauss-Newton

Generic and efficient MATLAB solver for nonsmooth optimization problems

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

A header-only C++ library for numerical optimization --

Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Mathematical optimization in pure Rust

Large scale convex optimization solvers in julia

Access to all MiniZinc functionality directly from Python

Wolfram Language interface to the Gurobi numerical optimization library

Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.

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

Sparse Optimisation Research Code

Optimization sample codes on Python

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Visualize optimization algorithms in MATLAB.

Derivative-Free Optimization Method for Global Optimization (C++)

Semidefinite programming optimization solver

A genetic algorithm implementation in python

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.

MoveIt kinematics_base plugin based on particle optimization & GA

🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

MATLAB implementations of a variety of nonlinear programming algorithms.

A curated list of awesome links and software libraries that are useful for robots.

A research toolkit for particle swarm optimization in Python

Mixed Integer Linear and Quadratic Programming in R

Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and let's you solve them with various solvers.

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Python library for Bayesian hyper-parameters optimization

CSSO full restructuring minification files to serve your webpack bundles

Toy implementations of some popular ML optimizers using Python/JAX

A toolkit for testing control and planning algorithm for car racing.

simobility - light-weight mobility simulation framework. Best for quick prototyping

High-level concept explanations, detailed tutorials, performance considerations, shortcuts and other useful content that aims to improve your Unreal Engine 4 development journey.

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

macOS load bootup and optimization

💝 My personal Gentoo/Linux configuration backup files

Convenient hyperparameter optimization

Newton and Quasi-Newton optimization with PyTorch

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Optimize battery storage using mixed integer linear programming

My workshop on machine learning using python language to implement different algorithms

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

Photometric optimization code for creating the FLAME texture space and other applications