Showing 4135 open source projects for "output"

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  • 1
    node-llama-cpp

    node-llama-cpp

    Run AI models locally on your machine with node.js bindings for llama

    ...The system automatically detects the available hardware on a machine and selects the most appropriate compute backend, including CPU or GPU acceleration. Developers can use the library to perform tasks such as text generation, conversational chat, embedding generation, and structured output generation. Because it runs models locally, the platform is particularly useful for privacy-sensitive environments or offline AI deployments.
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  • 2
    DocETL

    DocETL

    A system for agentic LLM-powered data processing and ETL

    DocETL is an open-source system designed to build and execute data processing pipelines powered by large language models, particularly for analyzing complex collections of documents and unstructured datasets. The platform allows developers and researchers to construct structured workflows that extract, transform, and organize information from sources such as reports, transcripts, legal documents, and other text-heavy data. Instead of relying on single prompts or ad-hoc scripts, DocETL...
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  • 3
    Gitlogue

    Gitlogue

    A cinematic Git commit replay tool for the terminal

    ...The tool is standalone and designed to be easy to install and run, so users don’t need complex setups to enjoy animated commit histories. Gitlogue adds atmosphere and personality to otherwise dry version control logs, and it supports terminal-friendly output that respects your existing workflow.
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  • 4
    CineCLI

    CineCLI

    CineCLI is a cross-platform command-line movie browser

    CineCLI is a command-line utility designed to help movie lovers quickly browse, search, and access film information from the terminal without needing a graphical interface. It connects to popular online movie databases to fetch metadata such as titles, release dates, ratings, genres, casts, posters, and plot summaries, presenting all of that in a concise, text-friendly format suitable for terminals or scripts. Users can search by keyword, year, or exact title and then drill into detailed...
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  • 5
    Sygil WebUI

    Sygil WebUI

    Stable Diffusion web UI

    ...The UI exposes core generation controls like resolution, CFG guidance, sampling steps, samplers, seeds, and batch generation so users can reproduce results and refine outputs systematically. It also supports jumping between workflows, such as sending an output directly into Image2Image for variations or into an “Image Lab” style area for enhancement and upscaling. Post-processing and enhancement are a major emphasis: the interface can route images through different upscalers and face-enhancement tools, helping users turn raw generations into cleaner, higher-resolution results.
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  • 6
    ML Sharp

    ML Sharp

    Sharp Monocular View Synthesis in Less Than a Second

    ML Sharp is a research code release that turns a single 2D photograph into a photorealistic 3D representation that can be rendered from nearby viewpoints. Instead of requiring multi-view input, it predicts the parameters of a 3D Gaussian scene representation directly from one image using a single forward pass through a neural network. The core idea is speed: the 3D representation is produced in under a second on a standard GPU, and then the resulting scene can be rendered in real time to...
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  • 7
    OCRBase

    OCRBase

    MD/.JSON Document OCR and structured data extraction API

    ...Instead of treating OCR as a one-off script, it presents an API-driven workflow where documents are submitted as jobs and processed through a queue-based architecture that can handle high throughput. The core output is designed for downstream automation, producing structured results like JSON according to user-defined schemas while also providing readable formats like Markdown for human review or indexing. It includes real-time job progress updates via WebSockets, which makes it easier to integrate into UIs, dashboards, or ingestion systems where users need feedback on long-running document processing.
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  • 8
    WorkAny

    WorkAny

    Desktop Agent for Any Task

    WorkAny is an open-source desktop AI agent application that executes generic tasks through natural language commands, effectively bringing intelligent automation into everyday workflows without needing to write code manually. It acts as a unified environment where users can ask the AI to generate documents, presentations, websites, spreadsheets, organize files, or write code — all with real-time streaming outputs directly in the app, so you see results as the AI produces them. Powered by a...
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  • 9
    AI Data Science Team

    AI Data Science Team

    An AI-powered data science team of agents

    ...The project includes ready-to-use applications that showcase these agents in action, such as an exploratory data analysis copilot that generates reports, a pandas data analyst that combines wrangling and plotting, and SQL database agents that can query business databases and output results directly.
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  • 10
    StreamSpeech

    StreamSpeech

    StreamSpeech is a seamless model for offline speech recognition

    ...The model supports eight tasks: offline ASR, speech-to-text translation, speech-to-speech translation, and TTS, as well as their streaming or simultaneous counterparts, all handled by the same underlying system. During simultaneous translation, StreamSpeech can optionally output intermediate ASR transcripts and text translations, giving users or downstream applications real-time visibility into what the system is hearing and how it is translating.
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  • 11
    CVPR 2025

    CVPR 2025

    Collection of CVPR 2025 papers and open source projects

    ...It organizes entries by topic areas such as detection, segmentation, generative models, 3D vision, multi-modal learning, and efficiency, so you can navigate the year’s output efficiently. Each paper entry typically includes a title, author list, and links to the paper PDF and official or third-party code repositories. The list frequently highlights benchmarks, leaderboards, or notable results so readers can assess impact at a glance. Because conference content evolves rapidly, the repository is updated as authors release code or refine readme instructions, keeping the collection timely. ...
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  • 12
    react-highlight-words

    react-highlight-words

    React component to highlight words within a larger body of text

    ...It supports case-sensitive or insensitive matching and optional auto-escaping so user-entered queries won’t be treated as regex. For advanced scenarios, you can provide a custom findChunks function to control tokenization (e.g., word boundaries or diacritics-aware behavior). The highlight output is easy to restyle via a custom tag (like mark) or inline styles, keeping the visual layer decoupled from the matching logic. Because it’s small and framework-idiomatic, it drops into tables, lists, virtualized scroll areas, and complex UIs without forcing layout changes.
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  • 13
    Go Jsonnet

    Go Jsonnet

    This an implementation of Jsonnet in pure Go

    go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to...
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  • 14
    latexify

    latexify

    A library to generate LaTeX expression from Python code

    ...The tool aims to preserve semantics such as exponentiation, summations, products, piecewise definitions, and function application while hiding Pythonic scaffolding. Users can control rendering details for names and operators so the output conforms to a project’s notation style. Because it works directly from Python source, it enables a tight authoring loop.
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  • 15
    ENScan Go

    ENScan Go

    ENScan_GO is an enterprise information reconnaissance tool

    ...It aggregates official and third-party APIs to pull records like ICP filings, affiliated/holding companies, apps, mini-programs, and WeChat official accounts, then exports merged results for analysis. The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. Recent releases added a reworked task model with queueing, resumable searches via cached progress, export format options, and a public API surface for custom keyword strategies. Documentation and issues discuss operational concerns such as rate limits, verification challenges, and use of proxies to reduce bans. ...
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  • 16
    Portkey AI Gateway

    Portkey AI Gateway

    A blazing fast AI Gateway with integrated guardrails

    Portkey AI Gateway aims to offer a blazing fast, secure, and flexible gateway for interacting with a wide variety of models and enforcing guardrails. It presents a single, friendly API through which you can route to 200+ LLMs, while applying configurable input/output guardrails to enforce policies or restrict certain content. It supports automatic retries, fallbacks, load balancing across providers or keys, and request timeouts to avoid latency spikes. The gateway is multimodal: it can handle text, vision, audio, and image models under a common interface. It also offers features for governance: role-based access, compliance with standards (SOC2, HIPAA, GDPR), secure key management, and logging/analytics of usage, latency, errors, and cost. ...
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  • 17
    Seamless Communication

    Seamless Communication

    Foundational Models for State-of-the-Art Speech and Text Translation

    Seamless Communication is a research project focused on building more integrated, low-latency multimodal communication between humans and AI agents. The motivation is to move beyond “text in, text out” and enable direct, live, multi-turn exchange involving language, gesture, gaze, vision, and modality switching without user friction. The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak,...
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  • 18
    DreamCraft3D

    DreamCraft3D

    Official implementation of DreamCraft3D

    ...The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines. It may integrate rendering or post-processing modules (e.g. mesh smoothing, texturing) to make the outputs more output-ready. Because 3D generation is hardware‐intensive, the repository likely also includes optimizations like quantization, pruning, or inference accelerations (e.g. using FlashMLA or DeepEP) to make the generation pipeline faster or more efficient. DreamCraft3D may also support style or attribute control (e.g. “make this object metallic,” “add textures”) via prompt conditioning or guides.
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  • 19
    Cpp17

    Cpp17

    Chinese translation of C++17 The Complete Guide

    The repository is a Chinese translation of “C++17: The Complete Guide”, a comprehensive reference book originally by Nicolai M. Josuttis, adapted for learners and developers who prefer reading in Chinese. It includes a full LaTeX source, Markdown drafts, and compiled PDF/EPUB versions, allowing readers to either consume the translated text or regenerate formatted outputs themselves. The content is organized into multiple parts: basic language features (e.g. structured binding, inline...
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  • 20
    Perf Book

    Perf Book

    The book "Performance Analysis and Tuning on Modern CPU"

    This project is a practical guide to performance analysis and tuning on modern CPUs, bridging microarchitecture details with hands-on profiling. It explains how caches, TLBs, prefetchers, branch predictors, and out-of-order execution influence real program speed, then connects those concepts to concrete optimization strategies. Readers learn how to design trustworthy benchmarks, avoid measurement traps (warmup, turbo, frequency scaling), and interpret hardware performance counters. The book...
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  • 21
    Clay

    Clay

    High performance UI layout library in C

    Clay (short for “C Layout”) is a high-performance 2D UI layout library in C, offering a declarative, Flexbox-like layout model with microsecond performance. It features a single-header design, zero dependencies, and support for WebAssembly, making it lightweight yet powerful for responsive UI rendering. The Clay macro by default accepts an ID as its first argument, which is usually provided by the CLAY_ID() convenience macro. Elements can also be created with auto-generated IDs, by using the...
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  • 22
    Instructor

    Instructor

    Structured outputs for llms

    Instructor is a tool that enables developers to extract structured data from natural language using Large Language Models (LLMs). Integrating with Python's Pydantic library allows users to define desired output structures through type hints, facilitating schema validation and seamless integration with IDEs. Instructor supports various LLM providers, including OpenAI, Anthropic, Litellm, and Cohere, offering flexibility in implementation. Its customizable nature permits the definition of validators and custom error messages, enhancing data validation processes. ...
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  • 23
    Prompt Declaration Language

    Prompt Declaration Language

    Prompt Declaration Language is a declarative prompt programming lang

    LLMs will continue to change the way we build software systems. They are not only useful as coding assistants, providing snipets of code, explanations, and code transformations, but they can also help replace components that could only previously be achieved with rule-based systems. Whether LLMs are used as coding assistants or software components, reliability remains an important concern. LLMs have a textual interface and the structure of useful prompts is not captured formally. Programming...
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  • 24
    Siddhi Core Libraries

    Siddhi Core Libraries

    Stream Processing and Complex Event Processing Engine

    ...Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator.
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  • 25
    Production-ready Docker PHP

    Production-ready Docker PHP

    Production-ready Docker images for PHP. Optimized for Laravel

    ...These images are highly optimized to run modern PHP applications, no matter where you want your application to run. Ditch FPM for a modern way of running PHP. Designed for containers from the ground up. All logs are directed to STDOUT & STDERR for centralized output. Our FPM-Apache & FPM-NGINX images use this intelligent init system.
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