Search Results for "linux utilities" - Page 9
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Showing 668 open source projects for "linux utilities"
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Gooo
Toolkit for developing web applications in Vue, Templ, and Go
Gooo is an open-source project that focuses on providing tools and utilities for interacting with and analyzing online content, particularly in the context of automation and data retrieval workflows. The repository appears to function as a lightweight utility toolkit that can be adapted for specific use cases such as scraping, automation, or content processing. It is structured to allow developers to customize and extend its functionality depending on their needs, rather than acting as a... -
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PHP Map
PHP arrays and collections made easy
Aimeos/Map is a lightweight PHP collection utility that makes working with arrays and array-like data much easier and more expressive by offering a fluent, object-oriented interface inspired by jQuery and Laravel collections. It wraps standard PHP arrays in a “Map” object, letting developers chain powerful methods for creating, transforming, filtering, sorting, and aggregating data without verbose boilerplate code. This approach improves readability and maintainability when dealing with... -
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Ring UI
A collection of JetBrains Web UI components
Ring-UI is a React component library created by JetBrains to provide a consistent, high-quality set of UI elements for building web applications with a polished and professional look and feel. It includes a comprehensive suite of components like buttons, dropdowns, modals, tabs, forms, tooltips, menus, and navigation elements that adhere to modern design principles and accessibility standards, making it easier for developers to deliver rich interactive experiences without reinventing core UI... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to... -
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HSharp
HSharp is a library used to analyze markup language like HTML
HSharp appears to be an experimental C#/.NET project exploring higher-level abstractions or helper patterns (the naming hints at “H#” as a layer or framework on top of C#). It groups together utilities, base classes, and conventions so that common app logic can be written faster and with less boilerplate. The repo acts as a sandbox for testing these patterns in real code, which is helpful if you want to see how the author structures services, models, or infrastructure concerns. Because it’s... -
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Stable Diffusion Web UI Extensions
Extension index for stable-diffusion-webui
This repository serves as the official index used by the Stable Diffusion Web UI to discover and install extensions. It aggregates metadata for hundreds of community plugins—image utilities, ControlNet tools, upscalers, prompt helpers, animation suites—so users can browse and add capabilities directly from the UI. The index maintains short descriptions, tags, and repository links, enabling quick filtering by purpose or workflow. It also standardizes submission format so extension authors can... -
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Fully Homomorphic Encryption
An FHE compiler for C++
This repository gathers Google’s practical tooling for Fully Homomorphic Encryption (FHE), focused on making it possible to run computations on encrypted data without ever decrypting it. At its core is a “transpiler” that converts ordinary functions (typically written in a restricted subset of C++ or similar) into FHE circuits, plus backends that execute those circuits with different FHE libraries. The workflow usually mirrors normal software development: write and test a cleartext... -
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Best-of Machine Learning with Python
A ranked list of awesome machine learning Python libraries
This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning... -
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Menubar Electron
High level way to create menubar desktop applications with electron
...The library makes it easy to build cross-platform utilities like clipboard managers, quick note popups, status displays, or background tools that users access from the bar icon without filling taskbars or docks. menubar handles the lifecycle of the UI window, system tray icon, and related events so developers can focus on the application logic rather than boilerplate integration. -
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Lobe UI
An open-source UI component library for building AIGC web apps
Lobe UI is an open source UI component library specifically designed for building AI-generated content (AIGC) web applications, offering a modern toolkit tailored to chatbots, AI interfaces, and intelligent systems. It is built with React and TypeScript and integrates closely with Ant Design, allowing developers to leverage familiar component patterns while extending them for AI-centric use cases. The library includes specialized components and configurations for handling features like... -
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From Java To Kotlin
Your Cheat Sheet For Java To Kotlin
From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained... -
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DomainBed
DomainBed is a suite to test domain generalization algorithms
DomainBed is a PyTorch-based research suite created by Facebook Research for benchmarking and evaluating domain generalization algorithms. It provides a unified framework for comparing methods that aim to train models capable of performing well across unseen domains, as introduced in the paper In Search of Lost Domain Generalization. The library includes a wide range of well-known domain generalization algorithms, from classical baselines such as Empirical Risk Minimization (ERM) and... -
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Multimodal
TorchMultimodal is a PyTorch library
This project, also known as TorchMultimodal, is a PyTorch library for building, training, and experimenting with multimodal, multi-task models at scale. The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference... -
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Mojolicious (Mojo)
Perl real-time web framework
Mojolicious is a modern, real-time web framework for Perl that ships batteries-included for building both APIs and dynamic web apps. It features a fast non-blocking I/O loop, a built-in HTTP/1.1 and WebSocket server, and first-class support for JSON, templates, and routing. Developers can start small with Mojolicious::Lite, a concise DSL for single-file apps, then grow into a full MVC structure with controllers, plugins, and reusable components. The framework emphasizes developer ergonomics:... -
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Silk.NET
About The high-speed OpenGL, OpenCL bindings library
Spruce up your games and applications with cross-platform 3D graphics, audio, compute and haptics. Fast, free, cross-platform. With an efficient bindings regeneration mechanism, we are committed to ensuring our bindings reflect the latest specifications with monthly updates generated straight from the upstream sources. In addition to providing high-speed, direct, and transparent bindings, we provide high-level utilities and wrappers to maximize productivity in common workloads such as... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
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Scalaz
Principled Functional Programming in Scala
Scalaz is a foundational functional-programming library for Scala that provides type classes, data types, and syntax to write pure, composable code. It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and... -
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AWS SDK for Go
AWS SDK for the Go programming language
Get started quickly using AWS with the AWS SDK for Go. The SDK makes it easy to integrate your Go application with the full suite of AWS services including Amazon S3, Amazon DynamoDB, Amazon SQS, and more. The AWS SDK for Go simplifies use of AWS services by providing a set of libraries that are consistent and familiar for Go developers. It supports higher level abstractions for simplified development, such as Amazon S3 Transfer Manager for seamless concurrent multi-part file uploads and... -
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AWS Neuron
Powering Amazon custom machine learning chips
AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can... -
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Foundation for Sites
The most advanced responsive front-end framework in the world
Foundation is the world’s most advanced responsive front-end framework that lets you go from prototype to production quickly and easily, with sites or apps that work on any device. Made up of very easy to style modular and flexible components, Foundation makes quick work of bringing your ideas to life. It’s got a fully customizable, responsive grid, a Sass based animation library, full accessibility support and a whole lot more. The latest version of Foundation has implemented a 50% code... -
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CUF (Client Utilities & Framework) contains utility libraries and an application-level framework for building GUI applications in either Java/Swing or .NET/WinForms environments.
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Modern Unix
A collection of modern/faster/saner alternatives to unix commands
The Modern Unix project is a curated list of modern command-line tools that serve as replacements or enhancements for traditional Unix utilities. It highlights tools that improve usability, performance, and developer experience while maintaining compatibility with existing workflows. The repository organizes tools by category, such as file management, search, networking, and system monitoring, making it easy to discover alternatives. It emphasizes better defaults, improved interfaces, and... -
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Theseus
A library for differentiable nonlinear optimization
Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost... -
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golem
A Framework for Building Robust Shiny Apps
golem is an opinionated framework for developing production-grade Shiny applications in R, treating the app like a full R package. It scaffolds project structure, testing, documentation, CI/CD, and supports containerization—streamlining the build-to-deploy pipeline while enforcing clean architecture and maintainability.
