Search Results for "common" - Page 6
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Showing 476 open source projects for "common"
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RecBole
A unified, comprehensive and efficient recommendation library
...RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. It can be installed from pip, conda and source, and is easy to use. We have implemented more than 100 recommender system models, covering four common recommender system categories in RecBole and eight toolkits of RecBole2.0, including General Recommendation, Sequential Recommendation, Context-aware Recommendation, and Knowledge-based Recommendation and sub-packages. -
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emotion
CSS-in-JS library designed for high performance style composition
...Allows developers to skip the styled API abstraction and style components and elements directly. The css prop also accepts a function that is called with your theme as an argument allowing developers easy access to common and customizable values. Reduces boilerplate when composing components and styled with emotion. Server side rendering with zero configuration. -
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mobx-state-tree
Full-featured reactive state management without the boilerplate
Technically speaking, MobX-State-Tree (also known as MST) is a state container system built on MobX, a functional reactive state library. This may not mean much to you, and that’s okay. I’ll explain it like this: MobX is a state management "engine", and MobX-State-Tree gives it structure and common tools you need for your app. MST is valuable in a large team but also useful in smaller applications when you expect your code to scale rapidly. And if we compare it to Redux, MST offers better performance and much less boilerplate code than Redux! MobX is one of the most popular Redux alternatives and is used (along with MobX-State-Tree) by companies all over the world, including Netflix, Grow, IBM, DAZN, Baidu, and more. ... -
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factory_bot
A library for setting up Ruby objects as test data
...If you're creating ActiveRecord objects, that means that you should only provide attributes that are required through validations and that do not have defaults. Other factories can be created through inheritance to cover common scenarios for each class. -
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uCrop
Image cropping library for Android
We develop lots of different Android apps at Yalantis, and our experience shows that almost every application we deal with needs image cropping functionality. Image cropping can be used for various purposes, from ordinary adjustment of user profile images to more complex features that involve aspect ratio cropping and flexible image transformations. Since we want to provide all our customers with the best set of tools for image editing functionality, we decided to create uCrop, an image... -
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NeoPixelBus
An Arduino NeoPixel support library
...RMT timing currently is sensitive to high interrupt frequency due to issues in the Core. There are multiple competing libraries, FastLED being the biggest and Adafruit NeoPixel being the most common for beginners. On ESP32, both FastLED and NeoPixelBus can provide more than one channel/bus. FastLED primarily uses RMT to support 8 parallel channels. NeoPixelBus now supports the RMTs 8 channels and two more channels using i2s. -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
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rollama
Wrap the Ollama API, which allows you to run different LLMs
...The package emphasizes reproducibility and privacy by enabling local execution of models, which is especially valuable for sensitive or research-oriented workflows. It supports common LLM tasks such as text generation, annotation, and embedding creation, making it useful for tasks like document analysis and data labeling. The design mirrors familiar R workflows, allowing users to integrate AI capabilities into scripts, notebooks, and data pipelines with minimal friction. It also provides flexibility to extend functionality to any feature supported by the underlying Ollama API. -
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Files
A nicer way to handle files & folders in Swift
Files is a lightweight Swift library that provides a more expressive and user-friendly interface for working with files and directories compared to the native FileManager API. It abstracts common file system operations into an object-oriented model, enabling developers to interact with files and folders using intuitive constructs such as Folder and File types. The library simplifies tasks like reading, writing, moving, renaming, and deleting files while maintaining robust error handling through Swift’s try-catch mechanisms. ... -
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Google Cloud Dataflow Template Pipelines
Cloud Dataflow Google-provided templates for solving data tasks
DataflowTemplates is the source repository for Google-provided Dataflow templates that are intended to solve large-scale in-cloud data processing tasks without requiring users to build everything from scratch in a full development environment. The repository is centered on templated pipelines powered by Google Cloud Dataflow and Apache Beam, making it easier to run common integration and movement jobs such as data import, export, backup, restore, and bulk API operations. Its structure shows support for multiple generations of templates, including v1 and v2 implementations, as well as related metadata, YAML assets, plugins, and Python components that support broader template execution and maintenance. ... -
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Double Conversion
Efficient binary-decimal & decimal-binary conversion routines for IEEE
...The library ensures consistent and accurate results for converting between double values and their string representations, avoiding rounding errors and performance bottlenecks common in standard conversion routines. It is optimized for both speed and correctness, making it ideal for numerical computation libraries, serialization systems, and scripting engines. The codebase includes detailed documentation and comprehensive unit tests to validate correctness across various platforms. With flexible build options using SCons, CMake, or Bazel, Double Conversion integrates seamlessly into modern C++ development workflows. -
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Tunix
A JAX-native LLM Post-Training Library
...The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives. -
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latexify
A library to generate LaTeX expression from Python code
latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence relations—into equations suitable for papers, notebooks, and slide decks. The tool aims to preserve semantics such as exponentiation, summations, products, piecewise definitions, and function application while hiding Pythonic scaffolding. ... -
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Multimodal
TorchMultimodal is a PyTorch library
...The design emphasizes composability: you can mix and match encoder, fusion, and decoder components rather than starting from monolithic models. The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained. -
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Horde
Horde is a distributed Supervisor and Registry
...Because everything runs under OTP supervision, failures are isolated and recoveries are automatic, even during network partitions or rolling deploys. It integrates naturally with common clustering tools and plays well with PubSub, job systems, and presence tracking. The result is predictable, configuration-driven distribution that removes a lot of custom glue typically needed for multi-node Elixir systems. -
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DynaMix
A new take on polymorphism
DynaMix (Dynamic Mixins) is an alternative take on object-oriented programming and dynamic polymorphism. It lets users compose and modify polymorphic objects at run time. The main target language is C++, but C is also supported. The library is a means to create a project's architecture rather than achieve its purpose. It helps with extensibility, readability, scalability, and interoperability. It focuses on maximal performance and minimal memory overhead. The library uses the type... -
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Haiku
JAX-based neural network library
...Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used across DeepMind. It preserves Sonnet’s module-based programming model for state management while retaining access to JAX’s function transformations. Haiku can be expected to compose with other libraries and work well with the rest of JAX. ... -
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PyG
Graph Neural Network Library for PyTorch
...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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react-window
React components for rendering large lists and tabular data
React window works by only rendering part of a large data set (just enough to fill the viewport). This helps address some common performance bottlenecks. It reduces the amount of work (and time) required to render the initial view and to process updates. It reduces the memory footprint by avoiding over-allocation of DOM nodes. react-window is a complete rewrite of react-virtualized. If react-window provides the functionality your project needs, it is strongly recommend that you use it instead of react-virtualized. ... -
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CSS Protips
A collection of tips to help take your CSS skills pro
...Instead of reinventing styling for each project, css-protips encourages reuse of patterns, deeper understanding of layout and specificity quirks, and adoption of CSS practices that avoid common pitfalls (like layout bugs, rendering issues, or maintenance headaches). For teams building complex front-end applications, this repo can act as a shared style-guide reference to ensure consistency and quality across components. It also helps developers stay up-to-date with modern CSS capabilities and how to apply them effectively. -
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Python-Spider
Python3 web crawler practice
...As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe concurrency or scheduling to crawl multiple pages, and techniques to handle common web-scraping issues. For people wanting to get hands-on with building scrapers, collecting data, or learning how to navigate web programming in Python, this repository acts as a didactic reference or starting point. Because it’s published publicly under an open license, users are free to fork and adapt the code. -
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Resurrecting Project in LinUtil
Automated Arch Linux Install
Resurrecting Project in LinUtil is an automated Arch Linux installation project created by Chris Titus that wraps Arch’s traditionally manual install process in a guided script. It aims to make Arch more approachable by handling tasks like disk partitioning, base system installation, and desktop environment selection through a menu-driven interface. The repository includes configuration presets and scripts that not only install the system but also set up a curated software stack and sensible... -
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tsup
The simplest and fastest way to bundle your TypeScript libraries
...The design goal is to let you publish modern libraries without hand-crafting long build scripts: point it at an entry file and it emits multiple targets, formats, and type declarations. It handles common library needs out of the box—like generating both ESM and CJS, bundling assets, and preserving or treeshaking dependencies—while staying flexible through minimal flags. Because it embraces convention over configuration, it’s easy to adopt as a drop-in replacement for heavier bundlers in simple packages, yet it scales when you need custom externals, minification, or watch modes. ... -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
Lago is a study-oriented library of classic data structures and algorithms implemented in JavaScript with an emphasis on readability and learning. Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking... -
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Google Toolbox for Mac
Google Toolbox for Mac
...It consolidates reusable code components drawn from various internal Google projects, offering developers a wide range of tools for building efficient, maintainable Apple platform software. The library includes modules for networking, logging, testing, data handling, and user interface extensions, helping developers avoid reinventing common functionality. Its modular design allows developers to integrate only the components they need, improving project flexibility and performance. With well-documented interfaces and consistent coding standards, Google Toolbox for Mac serves as a reliable foundation for both small and large-scale applications. It continues to be widely used across open source and internal projects that target Apple ecosystems.
