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563 search results found

Cs Interview Knowledge Map ⭐ 17,020

Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.

Scipy ⭐ 11,743

SciPy library main repository

Hyperopt ⭐ 6,866

Distributed Asynchronous Hyperparameter Optimization in Python

Scikit Opt ⭐ 4,135

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Learn2learn ⭐ 2,283

A PyTorch Library for Meta-learning Research

Awesome Quantum Machine Learning ⭐ 2,206

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Geneticalgorithmpython ⭐ 1,462

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Spearmint ⭐ 1,310

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Beautifulalgorithms.jl ⭐ 1,246

Concise and beautiful algorithms written in Julia

Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Platemo ⭐ 1,176

Evolutionary multi-objective optimization platform

Pyswarms ⭐ 1,137

A research toolkit for particle swarm optimization in Python

Vizier ⭐ 1,103

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Geneticsharp ⭐ 1,089

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Tiramisu ⭐ 861

A polyhedral compiler for expressing fast and portable data parallel algorithms

Jenetics ⭐ 796

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

AutoML tools chain

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

A Genetic Algorithm Framework in Python

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

🎯 A comprehensive gradient-free optimization framework written in Python

Ec Bestiary ⭐ 516

A bestiary of evolutionary, swarm and other metaphor-based algorithms

Platypus ⭐ 498

A Free and Open Source Python Library for Multiobjective Optimization

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

jMetal: a framework for multi-objective optimization with metaheuristics

Lbfgspp ⭐ 445

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

Experimental Global Optimization Algorithm

Jmetalpy ⭐ 410

A framework for single/multi-objective optimization with metaheuristics

Struc2vec ⭐ 360

This repository provides a reference implementation of struc2vec.

Moeaframework ⭐ 301

A Free and Open Source Java Framework for Multiobjective Optimization

Evolutionary.jl ⭐ 290

Evolutionary & genetic algorithms for Julia

Tufte_algorithms_book ⭐ 238

A template for textbooks in the same style as Algorithms for Optimization

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL

Nlopt.jl ⭐ 231

Package to call the NLopt nonlinear-optimization library from the Julia language

Deeplearningwithtf2.0 ⭐ 227

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Metaheuristics.jl ⭐ 219

High-performance metaheuristics for optimization coded purely in Julia.

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

Neuralgenetic ⭐ 201

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

Quantum_machine_learning ⭐ 198

This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube

Mathtoolbox ⭐ 193

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

Implementations of classic Machine Learning algorithms

Thermite ⭐ 149

Thermite SIMD: Melt your CPU

an automated solver for problems of competitive programming

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Yet another black-box optimization library for Python

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

Fast_zlib ⭐ 122

Heavily optimized zlib compression algorithm

Optimviz ⭐ 119

Visualize optimization algorithms in MATLAB.

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

Knowledgesummary ⭐ 117

📚A list of core knowledge that most Android programmers need to know. (continuously updated...)

Ooda Flow Sdk Lib ⭐ 116

OODA workflow sdk library

Least Squares Course ⭐ 116

By a programmer for programmers

Genetic algorithm for unsupervised machine learning in Go.

Ant Colony Optimization ⭐ 96

Implementation of the Ant Colony Optimization algorithm (python)

Thewalrus ⭐ 91

A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.

A strongly-typed genetic programming framework for Python

Swarmlib ⭐ 90

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)

Linesearches.jl ⭐ 89

Line search methods for optimization and root-finding

Binary floating-point to decimal string conversion algorithm.

Implementations of quasi-hyperbolic optimization algorithms.

Swarmpackagepy ⭐ 79

Library of swarm optimization algorithms.

Svm W Smo ⭐ 78

Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.

Python code implementing the power method for Singular Value Decomposition

Noisyopt ⭐ 74

Python library for optimizing noisy functions.

Paradiseo ⭐ 74

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

Black box hyperparameter optimization made easy.

👁🙅‍♀️Differentially Private Optimization Algorithms for PyTorch

Trajectory optimization algorithms for robotic control.

Learningtolearn ⭐ 70

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

Photonai ⭐ 65

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

Nonlinear Optimization Algorithms ⭐ 62

MATLAB implementations of a variety of nonlinear programming algorithms.

A Go implementation of the Ryu algorithm for converting floating-point numbers to strings

Route Optimizer Machine Learning ⭐ 58

Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Motion Planning Algorithms ⭐ 57

Matlab Implementations of some basic motion planning algorithms, such as A*, RRT, RRT*, Minimum Snap Trajectory Generation, etc..

Hybridprecodingopt ⭐ 56

Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

Online Category Learning ⭐ 56

ML algorithm for real-time classification

Liboptimization ⭐ 52

LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ

Riemannian stochastic optimization algorithms: Version 1.0.3

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Leanparameteroptimization ⭐ 45

Parameter Optimization for Lean Algorithms

Multiobjectivealgorithms.jl ⭐ 43

Rustimization ⭐ 43

Collection of Optimization algorithm in Rust

Exproptimization.jl ⭐ 42

Algorithms for optimization of Julia expressions

Gradient-based hyperparameter optimization package with TensorFlow

Fast UTF-8 validation with range algorithm (NEON+SSE4+AVX2)

Kmeans1d ⭐ 41

A Python package for optimal 1D k-means clustering.

Bayesian Optimization of Combinatorial Structures

A Java Framework for Ant Colony Optimization algorithms.

Deep Learning Optimization Algorithms ⭐ 37

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

Aialgorithmsandapplications ⭐ 36

Course Material: AI Algorithms and Applications with Python I + II

Jmetalsp ⭐ 35

A framework for Big Data Optimization with multi-objective metaheuristics

Pyproximal ⭐ 35

PyProximal – Proximal Operators and Algorithms in Python

Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms

Genx provides modular building blocks to run simulations of optimization and search problems using Genetic Algorithms

Hungarian.jl ⭐ 32

The Hungarian(Kuhn-Munkres) algorithm for Julia

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