Search Results for "optimization" - Page 2
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Showing 53 open source projects for "optimization"
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GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). A Blazor... -
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Fruit
Fruit, a dependency injection framework for C++
...Modules declare provided interfaces and requirements, and the injector ensures the whole graph is complete before you ship, eliminating many runtime surprises. Because bindings are ordinary C++ code, they integrate naturally with headers, visibility rules, and link-time optimization. Fruit’s design aims to deliver the ergonomics of DI frameworks from managed languages while staying faithful to C++ performance and compile-time guarantees. -
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Aleph.js
The Full-stack Framework in Deno
...This, along with Hot Module Replacement (HMR) and Fast Refresh, leads to instant updates in the browser. Aleph.js uses modern tools to build your app. It transpires code using swc in WASM with high performance, and bundles modules with esbuild at optimization time extremely fast. Aleph.js works on top of Deno, a simple, modern and secure runtime for JavaScript and TypeScript. All dependencies are imported using URLs and managed by the Deno cache system. No package.json and node_modules directories are needed. -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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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OpenPrompt
An Open-Source Framework for Prompt-Learning
...The template is one of the most important modules in prompt learning, which wraps the original input with textual or soft-encoding sequence. Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard. You can easily call and understand these methods. -
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MACE
Deep learning inference framework optimized for mobile platforms
...Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. The core library tries to keep minimum external dependencies to keep the library footprint small. -
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Fecshop (Yii2 Fecshop)
yii2 (PHP) fecmal (fecshop) core code used for ecommerce shop
...It is designed to provide a complete solution for building scalable and customizable online stores. Fecshop offers features like multi-language support, multi-currency options, SEO optimization, and integration with third-party payment gateways. The modular architecture makes it flexible, allowing developers to extend and customize the store as needed. -
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TNN
Uniform deep learning inference framework for mobile
...It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. ... -
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WePY
Framework that allows programs to support componentized development
A framework that allows small programs to support componentized development. One of the most popular small program framework. Component development, perfect solution to the problems of component isolation, component nesting, component communication, etc. Supports the use of third-party npm resources, automatically handles dependencies between npm resources, and is perfectly compatible with all npm resource packages without platform dependencies. Through polyfill, the mini program perfectly... -
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Artemis-odb
A continuation of the popular Artemis ECS framework
...Dozens of games with sources are available in the Game Gallery! Use it commercially! Expand your toolkit! Easy migration from Artemis clones. Optionally auto-pooled components and hotspot optimization via compile-time bytecode instrumentation. High performance, GC-friendly, less boilerplate! Automatic tracking, and maintenance of entity relationships. -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely eliminate computing/storage/communication hotspots of ps. ... -
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Geek Navigation
Navigation Station for Independent Developers!
...The Vue family bucket is used in the front desk, the framework used by the server is Express, and the database is Mongodb. Vue dynamic navigation is a single-page method, which is very unfavorable for SEO optimization, so the Nuxt SSR method is used instead, which is also the biggest change in this version. -
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archer
An automated SQL operation platform based on inception
An automated SQL operation platform based on inception, supports functions such as work order, audit, scheduled task, email, OSC, etc., and can also configure MySQL query, slow query management, session management, etc. Initiate SQL launch, submit work orders, and automatically audit by inception. After the audit is passed, manual audit by the auditor is required. The rollback statement can be displayed in the work order, and it supports one-click submission of rollback work orders. Query... -
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JS-Data
Give your data the treatment it deserves
JSData is a framework-agnostic, datastore-agnostic ORM for Node.js and the Browser. Adapters allow JSData to connect to various data sources such as Firebase, MySql, RethinkDB, MongoDB, localStorage, Redis, a REST API, etc. With JSData you can re-use your data modeling code between environments, keep your data layer intact when transitioning between app frameworks, and work with a unified data API on the server and the client. JSData employs conventions for rapid development, but allows for... -
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Caffe Framework
Caffe, a fast open framework for deep learning
...Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. ... -
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OptFrame is a framework for efficient implementation of metaheuristics and optimization methods. It has already been used in some real combinatorial problems and applied to Operations Research. Since November 2017, project has been moved to GitHub (new releases will also be included here in SourceForge, but Git mainline is no longer supported here). For more information, visit: https://github.com/OptFrame/optframe
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Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
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MOEA Framework
A Free and Open Source Java Framework for Multiobjective Optimization
The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms. -
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...However, there are few tools available to the integration of these tools, which would be suitable for the application of SBST (Search Based Software Testing). Furthermore, such tools require an advanced knowledge of software testing techniques and optimization techniques. Thinking about it, the SBST Group from Informatics Institute at Universidade Federal de Goiás, are developing the SBSTFrame focuses in the integration of these two types of tools to facilitate the application of search techniques in problems of Software Testing area. The SBSTFrame plays the role of a top layer compared with software testing tools and frameworks of search techniques layer, to the communication between them could be done transparently to the user.
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Factory Equipment Network Testing
Measurement science-based performance & conformance testing framework
...This project will develop and deploy a measurement science-based performance and conformance testing framework to enable real-time factory floor monitoring and optimization of manufacturing applications. -
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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Search Agents - a framework for collaboration of meta-heuristic agents
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gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
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The Open Optimization for Java provides a framework and the implementation of commonly-used algorithms found in Graph Theory and Network Optimization, e.g. shortest path and postman problem.
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Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.