Search Results for "optimization" - Page 27
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Showing 1233 open source projects for "optimization"
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. ... -
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Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
Open source intermediate for the MySQL database network protocol written in Java language, open source of GPLv3 protocol. Custom Calcite distributed query engine, edit SQL to relationship algebra expression, rule optimization engine, and cost optimization engine, generate physical execution plan, support logic view. Any cross-currant cross-table join query, support cross-currant cross-table non-associated query, support cross-currant cross-table association query, support cross-currant cross-table Window grammar, support global secondary index, limited support storage process, support visualization configuration. ... -
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Machine Learning Glossary
Machine learning glossary
...The goal of the repository is to make machine learning topics easier to understand by presenting definitions alongside examples, visual illustrations, and references for further learning. It covers a wide range of topics including neural networks, regression models, optimization techniques, loss functions, and evaluation metrics. The content is organized into sections that progressively introduce key ideas from basic machine learning concepts to more advanced mathematical topics. Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers. -
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Wordpress WebP plugin OptiPic
Wordpress WebP plugin to integrate with OptiPic.io
Wordpress WebP plugin to integrate with OptiPic.io (automatic images optimization and compression service) https://optipic.io/en/webp/wordpress/ [English] https://optipic.io/en/webp/wordpress/ [Español] https://optipic.io/es/webp/wordpress/ [Deutsch] https://optipic.io/de/webp/wordpress/ [Türk] https://optipic.io/tr/webp/wordpress/ [Français] https://optipic.io/fr/webp/wordpress/ [Italiano] https://optipic.io/it/webp/wordpress/ [Português] https://optipic.io/pt/webp/wordpress/ [Polski] https://optipic.io/pl/webp/wordpress/ [Čeština] https://optipic.io/cz/webp/wordpress/ [Русский] https://optipic.io/ru/webp/wordpress/ [Беларуская] https://optipic.io/by/webp/wordpress/ [中国] https://optipic.io/cn/webp/wordpress/ [日本] https://optipic.io/jp/webp/wordpress/ [বেঙ্গল] https://optipic.io/bn/webp/wordpress/ [한국인] https://optipic.io/ko/webp/wordpress/ -
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Magento WebP extension OptiPic
Magento WebP extension to integrate with OptiPic.io
Magento WebP extension to integrate with OptiPic.io (automatic images optimization and compression service). https://optipic.io/en/webp/magento/ [English] https://optipic.io/en/webp/magento/ [Español] https://optipic.io/es/webp/magento/ [Deutsch] https://optipic.io/de/webp/magento/ [Türk] https://optipic.io/tr/webp/magento/ [Français] https://optipic.io/fr/webp/magento/ [Italiano] https://optipic.io/it/webp/magento/ [Português] https://optipic.io/pt/webp/magento/ [Polski] https://optipic.io/pl/webp/magento/ [Čeština] https://optipic.io/cz/webp/magento/ [Русский] https://optipic.io/ru/webp/magento/ [Беларуская] https://optipic.io/by/webp/magento/ [中国] https://optipic.io/cn/webp/magento/ [日本] https://optipic.io/jp/webp/magento/ [বেঙ্গল] https://optipic.io/bn/webp/magento/ [한국인] https://optipic.io/ko/webp/magento/ -
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Win10Script
This is the Ultimate Windows 10 Script from a creation
...The author consolidated many smaller debloat scripts, gists, and tweaks into one overarching script that offers choices for removing telemetry, disabling unwanted services, uninstalling built-in Microsoft apps, and adjusting system settings for performance. The repository has been archived (read-only) but still serves as a reference implementation for Windows 10 optimization. The project is licensed under MIT and includes a README that explains usage, options, and caveats. In its documentation and blog posts, ChrisTitus also recommends that this tool is best used early (before too many user customizations), and that one should be careful as aggressive tweaks can break certain features. -
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Hugin++
a fork of the Hugin project with a fast geometric optimizer
...Hugin++ is linked with fastPTOptimizer (a fork of the libpano library). When you have only a small or medium number of images and control points, the original Hugin does the geometric optimization in a fairly short time. However if you have a large number of images (several hundrets or more than thousand) and many control points, the optimization typically needs much time (up to several days). With Hugin++ the time for the geometric optimization of large panoramas decreases (a speedup factor of 100 or more can be achieved). ... -
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OpticSim.jl
Optical Simulation software
...A complete catalog of optical materials is provided through the complementary GlassCat submodule. This software provides extensive control over the modelling, simulation, visualization and optimization of optical systems. It is especially suited for designs that have a procedural architecture. -
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Antarctica Theme
Stylish and feature-rich theme for Jekyll
The goal of Antarctica is evolving to an elegant and feature-rich theme across platforms. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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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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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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Electron React Boilerplate
A foundation for scalable cross-platform apps
...Changes are made so that the state of your app is not lost. Building scalable apps without types can only go so far. Get type errors while developing your app. Errors are thrown during compile-time and runtime. Optimization and minification of code with webpack come out of the box. This avoids running into performance bottlenecks associated with traditional electron apps. Webpack is one of the most crucial parts of ERB's infrastructure as with many other React projects. It provides us with many optimizations such as dead code stripping, tree shaking, and code splitting to name a few. ... -
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AcoPath for Java
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. -
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DeepLearning Tutorial
Deep Learning Tutorial, Excellent Articles, Deep Learning Tutorial
...The project is designed as a knowledge collection that helps beginners understand neural networks, deep learning architectures, and fundamental machine learning concepts. It contains curated learning materials covering topics such as feedforward neural networks, activation functions, backpropagation algorithms, optimization methods, and convolutional neural networks. The repository organizes these materials into structured tutorials and references that allow readers to explore deep learning concepts progressively. Many of the resources include explanations of common model architectures used in computer vision and artificial intelligence. The project also collects recommended articles and educational documents that expand on deep learning theory and practical implementation strategies. -
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MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning
...It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scalable to many GPUs and machines. Apache MXNet is more than a deep learning project. It is a community on a mission of democratizing AI. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers. -
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PrestaShop WebP module OptiPic
PrestaShop WebP module to integrate with OptiPic.io
PrestaShop WebP module to integrate with OptiPic.io (automatic images optimization and compression service). https://optipic.io/en/webp/prestashop/ [English] https://optipic.io/en/webp/prestashop/ [Español] https://optipic.io/es/webp/prestashop/ [Deutsch] https://optipic.io/de/webp/prestashop/ [Türk] https://optipic.io/tr/webp/prestashop/ [Français] https://optipic.io/fr/webp/prestashop/ [Italiano] https://optipic.io/it/webp/prestashop/ [Português] https://optipic.io/pt/webp/prestashop/ [Polski] https://optipic.io/pl/webp/prestashop/ [Čeština] https://optipic.io/cz/webp/prestashop/ [Русский] https://optipic.io/ru/webp/prestashop/ [Беларуская] https://optipic.io/by/webp/prestashop/ [中国] https://optipic.io/cn/webp/prestashop/ [日本] https://optipic.io/jp/webp/prestashop/ [বেঙ্গল] https://optipic.io/bn/webp/prestashop/ [한국인] https://optipic.io/ko/webp/prestashop/ -
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WRN Cleaner
Free maintenance tool to automatically clean Windows machines
...It is designed specifically for Windows machines only. The motivation behind this project is to clean up Windows machines in an automated way with pre-configured optimization techniques. Download the repository and look for "wrn_cleaner-vX.X.X.bat" file and open it and run as administrator. All you have to do is to follow the on-screen instructions. -
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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. -
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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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Deeplearning.ai
Study notes, summaries, and auxiliary materials for deep learning
Deeplearning.ai collects study notes, summaries, and auxiliary materials aligned with the popular deep learning course series many learners take early in their AI journey. It distills core ideas such as optimization, regularization, convolutional networks, sequence models, and practical training tricks. The explanations aim to bridge theory and practice, often connecting mathematical intuition to code-level implications. By organizing the content as “books” or structured notes, it gives students a consistent reference to revisit as models and tooling evolve. ... -
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bundlejs
An online tool to quickly bundle & minify your projects
bundlejs is a web-based JavaScript bundle size analyzer that helps developers understand the impact of their dependencies. It provides real-time insights into bundle size, minification, and tree-shaking effectiveness. -
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opbdp
opbdp (non-linear) pseudo-Boolean optimization
opbdp is an implementation in C++ of an implicit enumeration algorithm for solving (non)linear 0-1 (or pseudo-Boolean) optimization problems with integer coefficients. A research report describing the techniques used in opbdp is included. -
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OpenGL Tutorials
Learning Modern 3D Graphics Programming
gltut is a collection of OpenGL tutorials designed to teach modern OpenGL programming techniques. It provides practical examples and explanations, guiding users through the fundamentals of OpenGL, including shader programming, buffer management, and rendering pipelines. The tutorials are structured to build upon each other, offering a comprehensive learning experience for both beginners and experienced developers aiming to deepen their understanding of OpenGL. -
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godlp
Sensitive information protection toolkit
godlp appears to be another software project from ByteDance — however, as of the most recent checks, there’s very little publicly available information about it: the repository exists under ByteDance’s GitHub, but its documentation, README, and metadata are minimal (or not human-readable), and the project seems to have limited community visibility compared to their other major tools. Because of that opacity, one must infer that godlp is likely a specialized internal or early-stage tool, possibly related to internal optimization, data processing, or platform-specific functionality (given ByteDance’s historical patterns). The minimal public footprint suggests it may be experimental, unmaintained, or only partially open-sourced, which reduces its immediate practicality for external developers. -
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Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion.
