Search Results for "optimization" - Page 36
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Showing 1234 open source projects for "optimization"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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fast-neural-style
Feedforward style transfer
...It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications. The repository includes training scripts, pre-trained models, and examples demonstrating how to apply styles efficiently. It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. ... -
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Mp3 Tag Editor v4 latest
Best mp3 tag editor working with low CPU hosting
Download free mp3 tag editor v4 latest version php script -
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emacs-w64
64-Bit GNU Emacs for MS Windows with optimization.
A GNU Emacs binary distribution for users who want to use Emacs natively in 64-Bit Windows (x86_64). This project will focus on providing unmodified, up-to-date (from git master and newest release), and optimized w64 binary builds. Also available on GitHub: https://github.com/zklhp/emacs-w64/releases For details concerning the build, please see the wiki page on https://sourceforge.net/p/emacsbinw64/wiki/Build%20guideline%20for%20MSYS2-MinGW-w64%20system/.... -
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AutoGrow
AutoGrow 3.1 is an evolutionary algorithm that optimizes candidate lig
IMPORTANT NOTE: The latest version of AutoGrow (v4) can be found at http://git.durrantlab.com/jdurrant/autogrow4 More information about the older version posted here on SourceForge can be found at http://autogrow.ucsd.edu AutoGrow 3.1 is an evolutionary algorithm that optimizes candidate ligands for predicted binding affinity and other druglike properties. Though no substitute for the medicinal chemist, AutoGrow attempts to introduce some chemical intuition into the automated optimization process. By carefully crafting chemically feasible druglike molecules, we hope that AutoGrow 3.1 will help supplement the chemist's efforts. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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jalicanto
Traveling Salesman Problem "window time based" aproximate solver
...A class to use the TSP Suite(Thomas Weise, Raymond Chiong, J ¨org L¨assig, Ke Tang, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, Xin Yao, Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. 2014.),is implemented. -
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Ohlon
Ephesoft Performance and Analysis Tool
Ohlon will help you in different ways for all steps of your process. During the development step, you'll be able to analyze how works your batch class, and which plugins seem to need optimization. During the ongoing maintenance, you'll be able to understand what happens in your servers, using the real time monitoring. Finally, Ohlon can be used to extract performance metrics: how many documents or pages have been processed, reviewed, validated; how long does it take to process a document... -
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. -
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Neural Photo Editor
A simple interface for editing natural photos
Neural Photo Editor is an experimental machine learning application that demonstrates how generative neural networks can be used as an interactive photo editing tool. The project implements the system described in the research paper Neural Photo Editing with Introspective Adversarial Networks, which introduces a generative model capable of modifying images in semantically meaningful ways. Instead of editing images by directly manipulating pixels, the software allows users to influence... -
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GA-tools
general genetic algorithms optimization fortran 95 routines
High level optimization routines in Fortran 95 for optimization problems using a genetic algorithm with elitism, steady-state-reproduction, dynamic operator scoring by merit, no-duplicates-in-population. Chromosome representation may be integer-array, real-array, permutation-array, character-array. Single objective and multi-objective maximization routines are present. -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction.... -
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fastNeutrino
FAST Ne and mUTatation Rate Inference using aNalytic Optimization
This software implements the demographic inference algorithms described in the following paper: Bhaskar, A., Wang, Y.X.R. and Song, Y.S. Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data. Genome Research, Vol. 25, No. 2 (2015) 268-279. -
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Modus ERP
Best solution for production companies
Modus ERP consists of a series of modules for managing, customer relationship management, procurement, inventory, production, sales, logistics and finance. With the help of the program it becomes possible to simplify resource optimization, control and productivity improvements, as well as an overview of the entire production from the moment of order to release the finished product, planning its transport on designated routes, and assign work to employees / machines and settling them with chords based on standards time. Additionally, the application allows issuing invoices, as well as the creation of useful analyzes and reports. ... -
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RHO Software
Modus is a comprehensive support system for the production process in
Modus ERP consists of a series of modules for managing, customer relationship management, procurement, inventory, production, sales, logistics and finance. With the help of the program it becomes possible to simplify resource optimization, control and productivity improvements, as well as an overview of the entire production from the moment of order to release the finished product, planning its transport on designated routes, and assign work to employees / machines and settling them with chords based on standards time. Additionally, the application allows issuing invoices, as well as the creation of useful analyzes and reports. ... -
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LeapFrog Optimizer
Open Source Optimizing Algorithm Written in Python
name: leap frog optimizer version: 0.5 ALPHA author: Mark Redd email: redddogjr@gmail.com written for python version: 2 optimizer algorithm website: http://www.r3eda.com/ about: This optimizer was written based on the algorithm published by Dr. R. Russell Rhinehart. A full explanation of the algorithm can be found at the following URL: http://www.r3eda.com/leapfrogging-optimization-algorithm/ The following are "key references" published on the optimization website explaining the technique: - Rhinehart, R. R., M. Su, and U. Manimegalai-Sridhar, “Leapfrogging and Synoptic Leapfrogging: a new optimization approach”, Computers & Chemical Engineering, Vol. 40, 11 May 2012, pp. 67-81... -
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Sys Optimizer
Small software to optimize System
This project is programmed to become a best optimization software. The software also let you to uninstall the installed software and it also let you to end the process running in the system. Designed with Softview GUI Custom Guidelines. -
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Closure Compiler JS
Package for the JS version of closure-compiler for use via NPM
closure-compiler-js packages Google’s Closure Compiler so it runs under JavaScript (e.g., Node.js) instead of a JVM, making advanced JS optimization accessible in more build pipelines. You get the same aggressive whole-program optimizations—dead-code elimination, property renaming, inlining, and cross-module motion—delivered via a JS API and CLI. Because it’s the compiler you know, it also honors Closure type annotations and JSDoc, enabling type-aware rewrites that shrink bundles without breaking semantics. ... -
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...(Pamac and xscreensaver are not added intentionally - waste of system resources) Others: - GPU change from 64 MB to 192 MB - Auto-login to the system - Automatic installation of external devices - Optimization of themes, icons, widgets and fonts - Remote communication: SSH: sudo ssh manjaro@ip_adress VNC: sudo x11vnc --display :0 -auth guess
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CurvatureFilter
Curvature Filters are efficient solvers for Variational Models
...Traditional solvers, such as gradient descent or Euler Lagrange Euqation, start at the total energy and use diffusion scheme to carry out the minimization. When the initial condition is the original image, the data fitting energy always increases while the regularization energy always reduces during the optimization. Thus, regularization energy must be the dominant part since the total energy has to decrease. Therefore, Curvature filters focus on minimizing the regularization term, whose minimizers are already known. For example, if the regularization is Gaussian curvature, the developable surfaces minimize this energy. -
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Flexible ROM Corruptor
ROM corrupter for multiple operating systems.
...ROM corrupting is a popular hobby but is known for being exclusively on Windows due to the general lack of utilities on Mac, Linux and other operating systems. This utility is designed for optimization and compatibility for multiple operating systems. -
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CITYOPT mission is to optimize energy systems in smart cities. The project will create a set of applications and related guidelines that support efficient planning, detailed design and operation of energy systems in urban districts.
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Priority Estimation Tool (AHP)
PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).
Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). Please cite this if you find it... -
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totaljs/eshop
Eshop + Content Management System (CMS) written in Node.js / Total.js
Total.js eShop is an open-source eCommerce platform built with the Total.js framework. It provides a lightweight, modular, and customizable solution for building online stores. Designed for developers who need a flexible eCommerce backend, it offers essential shopping functionalities such as product management, order processing, and payment integrations. -
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ICE (Interval Calculator for Engineer)
Interval Calculator for Engineer
ICE is a simple mathematical calculator with very useful shortcuts for Engineer: works natively with tolerance, can run Monte Carlo analysis, uses engineer notation, includes most of the day by day functions used by engineers. -
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Opt4J
Modular Java framework for meta-heuristic optimization
Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary meta-heuristic optimization algorithms. ...
