95 Open source projects that are alternatives of or similar to Optimizer Visualization

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

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Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com

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.

船长关于机器学习、计算机视觉和工程技术的总结和分享

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Typesafe, purely functional Computational Intelligence

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This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

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

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

A tour of different optimization algorithms in PyTorch.

Matlab and Python toolbox for fast Total Variation proximity operators

Toy implementations of some popular ML optimizers using Python/JAX

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

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Videos of deep learning optimizers moving on 3D problem-landscapes

A JavaScript library to allocate and optimize financial portfolios.

Unconstrained function minimization in Javascript

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

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

C++ solvers for Minimum Cost Flow Problems

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RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

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

A research toolkit for particle swarm optimization in Python

MATLAB implementations of a variety of nonlinear programming algorithms.

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

A mod for KerbalSaceProgram

A Genetic Algorithm Framework in Python

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

Algorithmic trading strategies

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.

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Large scale convex optimization solvers in julia

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

Python library for Bayesian hyper-parameters optimization

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

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

Visualize optimization algorithms in MATLAB.

🔌⚡ 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

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

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

A genetic algorithm implementation in python

oj! Algorithms

A metaheuristic optimization framework

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Curvature Filters are efficient solvers for Variational Models

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

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

Generic and efficient MATLAB solver for nonsmooth optimization problems