Search Results for "common" - Page 18
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Showing 4501 open source projects for "common"
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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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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for... -
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Tauon
The music player of today
Tauon is a modern, streamlined music player app that's packed with features! An emphasis on playlists and drag-and-drop importing puts you in control of your music library. Faded volume control, 24-bit FLAC support, and gapless playback provide the ultimate listening experience. Excellent CUE sheet support, an original smart playlist system, and network playback from koel or Airsonic servers. Last.fm, Listenbrainz, and Maloja scribbling. MPRIS2 support for desktop integration. Tauon is a... -
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libhv
Network library for developing TCP/UDP/SSL/HTTP/WebSocket/MQTT client
...Cross-platform (Linux, Windows, MacOS, BSD, Solaris, Android, iOS) High-performance EventLoop (IO, timer, idle, custom) TCP/UDP client/server/proxy. TCP supports heartbeat, reconnect, upstream, MultiThread-safe write and close, etc. Built-in common unpacking modes (FixedLength, Delimiter, LengthField) RUDP support: WITH_KCP. SSL/TLS support: (via WITH_OPENSSL or WITH_GNUTLS or WITH_MBEDTLS) HTTP client/server (support https http1/x http2 grpc). HTTP supports static service, indexof service, proxy service, sync/async API handler. HTTP supports RESTful, router, middleware, keep-alive, chunked, SSE, etc. ... -
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Transformers
State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX
...Using pre-trained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. These models support common tasks in different modalities. Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. Images, for tasks like image classification, object detection, and segmentation. Audio, for tasks like speech recognition and audio classification. ... -
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SeleniumBase
A framework for browser automation and testing with Selenium
SeleniumBase automatically handles common WebDriver actions such as launching web browsers before tests, saving screenshots during failures, and closing web browsers after tests. SeleniumBase lets you customize test runs from the command line. SeleniumBase uses simple syntax for commands. pytest includes automatic test discovery. If you don't specify a specific file or folder to run, pytest will automatically search through all subdirectories for tests to run. -
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Capstone
Capstone disassembly/disassembler framework
...Provide semantics of the disassembled instruction, such as list of implicit registers read & written. Implemented in pure C language, with lightweight bindings for D, Clojure, F#, Common Lisp, Visual Basic, PHP, PowerShell, Emacs, Haskell, Perl, Python, Ruby, C#, NodeJS, Java, GO, C++, OCaml, Lua, Rust, Delphi, Free Pascal & Vala (ready either in main code, or provided externally by the community). -
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wemake-python-styleguide
The strictest and most opinionated python linter ever!
...Ensures consistency - no matter who works on it, the end product will always be the same dependable code. Helps avoid potential bugs - strict rules make sure that you don't make common mistakes. Efficient code reviews - each piece of code has a similar familiar style and syntax. If it passes all the checks, there's little left to review! Fewer code revisions - strict linting ensures that you don't have to re-write the codebase again and again. Reduce code redundancy - Sometimes we write complex code as we are thinking in a certain way about a problem. ... -
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axe-core
Accessibility engine for automated Web UI testing
...It's fast, secure, lightweight, and was built to seamlessly integrate with any existing test environment so you can automate accessibility testing alongside your regular functional testing. Axe-core has different types of rules, for WCAG 2.0 and 2.1 on level A and AA, as well as a number of best practices that help you identify common accessibility practices like ensuring every page has an h1 heading, and to help you avoid "gotchas" in ARIA like where an ARIA attribute you used will get ignored. With axe-core, you can find on average 57% of WCAG issues automatically. Additionally, axe-core will return elements as "incomplete" where axe-core could not be certain, and manual review is needed. -
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Bootstrap Blazor Component
Bootstrap Blazor is an enterprise-level UI component library
...BootstrapBlazor integrates deeply with the .NET ecosystem, leveraging C# and Razor syntax to create interactive web experiences without requiring JavaScript-heavy workflows. It includes a wide range of components such as forms, grids, charts, dialogs, and navigation elements, covering most common enterprise application needs. -
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Suno AI API
Use API to call the music generation AI of suno.ai
...It includes mechanisms for maintaining session tokens and keeping accounts active, ensuring uninterrupted operation without manual reauthentication. One of its distinguishing features is its ability to bypass common web limitations by integrating CAPTCHA-solving services and browser automation, which allows continuous access to the platform. -
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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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QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
...It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. QueryList supports common data extraction scenarios such as retrieving lists of titles, links, images, and other page elements from structured or semi-structured content. It also includes a powerful HTTP request system that enables complex operations such as simulated logins, proxy usage, and customized request headers. QueryList is designed with a modular architecture that allows developers to extend its capabilities through plugins for tasks. -
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ChatJS
Production-ready AI chat. Start here and make it your own
ChatJS is a production-ready AI chat foundation for developers who want to launch customizable chat applications without rebuilding common infrastructure from scratch. The project presents itself as a starting point that already includes authentication, model access, streaming, and tool support so teams can focus on their own product-specific features. Its stack is centered on modern TypeScript web development, using technologies such as Next.js, AI SDK tooling, PostgreSQL, Redis, and type-safe configuration patterns. ... -
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AI CODE GUIDE
AI Code Guide is a roadmap to start coding with AI
...Instead of focusing on a single framework or technology, the guide aggregates information about a wide ecosystem of tools including AI code editors, development platforms, and programming assistants. It also highlights best practices and common pitfalls developers may encounter when relying on AI tools in software engineering workflows. -
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discover
Automation framework for reconnaissance and penetration testing tasks
Discover is a collection of custom Bash scripts designed to automate many common tasks involved in penetration testing workflows. The project brings together a variety of security testing functions into a single framework that simplifies reconnaissance, scanning, and enumeration processes. It provides a menu-driven interface that allows security professionals to quickly launch different tools and scripts without manually executing each command. -
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LangChain for Java
LangChain4j is an open-source Java library
...Its architecture includes abstractions for prompts, chat interactions, document processing, embeddings, and vector storage, enabling developers to build complex AI workflows with minimal boilerplate code. LangChain4j also implements common design patterns used in generative AI systems, such as retrieval-augmented generation pipelines, tool calling, and intelligent agent frameworks. These abstractions allow developers to orchestrate interactions between language models, external tools, and knowledge bases in a structured and scalable way. -
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Kurrier
Workspace for email, calendar, contacts and storage
...It’s designed to sit on top of standard protocols and services rather than replacing them, connecting to mail providers through IMAP/SMTP and supporting outbound delivery options such as SES or popular transactional email providers. For personal information management, Kurrier syncs calendars via CalDAV and contacts via CardDAV, making it compatible with common clients across desktop and mobile ecosystems. It also adds an integrated “Drive” concept that can use WebDAV locally and is intended to support S3-compatible storage backends as the project expands. The UI aims to feel fast and cohesive across modules, with features like multiple identities (useful for multi-domain or multi-sender setups) and organizational tooling such as labels. -
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ZeroByte
Backup automation for self-hosters
...Zerobyte lets you configure automated jobs with flexible schedules and retention policies, monitor backup jobs through a centralized dashboard, and choose from multiple source types (like local directories, NFS, SMB, WebDAV, and more), all while ensuring end-to-end encryption via Restic underneath. The system also supports common remote destinations such as S3-compatible storage or REST servers and encapsulates much of the complexity of backup logic so users can focus on reliability and restore confidence rather than manual orchestration. -
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zpdf
Zero-copy PDF text extraction library written in Zig
...The library supports streaming extraction using efficient arena allocation, making it well suited for workloads that need to process big documents quickly or in batches. It implements multiple PDF decompression filters and handles common font encoding pathways, which are essential for turning raw PDF content streams into readable text. It also understands both classic cross-reference tables and newer cross-reference streams, including PDF 1.5+ features, and it offers configurable strict vs permissive error handling depending on whether you prioritize correctness or robustness. -
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Perfect Pixel
Refine and quantize messy AI pixel art into clean, perfect pixels
perfectPixel is a workflow tool for turning messy “pixel-style” images, especially those produced by generative models, into truly grid-aligned pixel art that reads cleanly at any scale. It tackles a common problem with AI pixel art: edges that look pixelated at first glance but are not actually aligned to a coherent pixel grid, which causes shimmer, blur, and uneven block sizes when you zoom in. The tool analyzes an image to infer the intended grid size, then refines and quantizes the artwork so pixels snap into consistent cells and the final result looks crisp and intentional. ... -
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AI Data Science Team
An AI-powered data science team of agents
AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. ... -
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AWS SDK for Java 2.0
The official AWS SDK for Java - Version 2
...Models are immutable and builders are pervasive, leading to safer code and clearer intent. Credential providers, region resolution, retries, and paginators are redesigned with extensibility in mind, and integrations are available for common observability and HTTP client choices. For teams starting new Java projects on AWS, v2 is the default choice due to its modularity, improved ergonomics, and better runtime characteristics. -
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Granite TSFM
Foundation Models for Time Series
...It documents the currently supported Python versions and points users to where the core TSFM models are hosted and how to wire up service components. Issues and examples in the tracker illustrate common tasks such as slicing inference windows or using pipeline helpers that return pandas DataFrames, grounding the library in day-to-day time-series operations. The ecosystem around TSFM also includes a community cookbook of “recipes” that showcase capabilities and patterns. Overall, the repo is designed as a hands-on companion for teams adopting time-series foundation models in production-leaning settings. -
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Purple Llama
Set of tools to assess and improve LLM security
Purple Llama is an umbrella safety initiative that aggregates tools, benchmarks, and mitigations to help developers build responsibly with open generative AI. Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. CyberSecEval, one... -
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Segment Anything
Provides code for running inference with the SegmentAnything Model
Segment Anything (SAM) is a foundation model for image segmentation that’s designed to work “out of the box” on a wide variety of images without task-specific fine-tuning. It’s a promptable segmenter: you guide it with points, boxes, or rough masks, and it predicts high-quality object masks consistent with the prompt. The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. A...
