Awesome Open Source
Search results for algorithms optimization
563 search results found
Cs Interview Knowledge Map
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
SciPy library main repository
Distributed Asynchronous Hyperparameter Optimization in Python
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
A PyTorch Library for Meta-learning Research
Awesome Quantum Machine Learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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
Concise and beautiful algorithms written in Julia
Open-source implementation of Google Vizier for hyper parameters tuning
Evolutionary multi-objective optimization platform
A research toolkit for particle swarm optimization in Python
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
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
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
A polyhedral compiler for expressing fast and portable data parallel algorithms
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
A bestiary of evolutionary, swarm and other metaphor-based algorithms
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
A header-only C++ library for L-BFGS and L-BFGS-B algorithms
Experimental Global Optimization Algorithm
A framework for single/multi-objective optimization with metaheuristics
This repository provides a reference implementation of struc2vec.
A Free and Open Source Java Framework for Multiobjective Optimization
Evolutionary & genetic algorithms for Julia
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
Package to call the NLopt nonlinear-optimization library from the Julia language
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
High-performance metaheuristics for optimization coded purely in Julia.
Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
Implementations of classic Machine Learning algorithms
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
Heavily optimized zlib compression algorithm
Visualize optimization algorithms in MATLAB.
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
📚A list of core knowledge that most Android programmers need to know. (continuously updated...)
Ooda Flow Sdk Lib
OODA workflow sdk library
Least Squares Course
By a programmer for programmers
Genetic algorithm for unsupervised machine learning in Go.
Ant Colony Optimization
Implementation of the Ant Colony Optimization algorithm (python)
A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.
A strongly-typed genetic programming framework for Python
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)
Line search methods for optimization and root-finding
Binary floating-point to decimal string conversion algorithm.
Implementations of quasi-hyperbolic optimization algorithms.
Library of swarm optimization algorithms.
Svm W Smo
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
Python library for optimizing noisy functions.
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.
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 is a high level python API for designing and optimizing machine learning pipelines.
Nonlinear Optimization Algorithms
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
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
Matlab Implementations of some basic motion planning algorithms, such as A*, RRT, RRT*, Minimum Snap Trajectory Generation, etc..
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
Online Category Learning
ML algorithm for real-time classification
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
PyTorch implementations of recent optimization algorithms for deep learning.
Parameter Optimization for Lean Algorithms
Collection of Optimization algorithm in Rust
Algorithms for optimization of Julia expressions
Gradient-based hyperparameter optimization package with TensorFlow
Fast UTF-8 validation with range algorithm (NEON+SSE4+AVX2)
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
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Course Material: AI Algorithms and Applications with Python I + II
A framework for Big Data Optimization with multi-objective metaheuristics
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
The Hungarian(Kuhn-Munkres) algorithm for Julia
Python Algorithms (10,113)
C Plus Plus Algorithms (5,466)
Java Algorithms (4,524)
Algorithms Data Structures (4,446)
Python Optimization (2,368)
C Algorithms (2,333)
Jupyter Notebook Algorithms (2,326)
Algorithms Graph (1,750)
Algorithms Sort (1,633)
1-100 of 563 search results
Follow Us On Twitter
Copyright 2018-2023 Awesome Open Source. All rights reserved.