Search Results for "processing" - Page 12
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Showing 6568 open source projects for "processing"
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gse
Go efficient multilingual NLP and text segmentation
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. Gse is implements jieba by golang, and try add NLP support and more feature. Support common, search engine, full mode, precise mode and HMM mode multiple word segmentation modes. Support user and embed dictionary, Part-of-speech/POS tagging, analyze segment info, stop and trim words. Support multilingual: English, Chinese, Japanese and others. Support Traditional Chinese. Support HMM cut text... -
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BentoML
Unified Model Serving Framework
BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference workloads to scale separately from the serving logic. Adaptive batching dynamically groups inference requests for optimal performance. ... -
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Bilidown
Bilibili video parsing download tool, supports 8K video
bilidown is a command-line tool designed to download videos and audio content from the Bilibili platform with high flexibility and control. It supports downloading single videos, playlists, and series, allowing users to archive content efficiently. The tool integrates FFmpeg to merge audio and video streams when necessary, ensuring compatibility and high-quality output. It provides options for selecting resolution, format, and output structure, giving users control over the download process.... -
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ModelScope
Bring the notion of Model-as-a-Service to life
ModelScope is built upon the notion of “Model-as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. The core ModelScope library open-sourced in this repository provides the interfaces and implementations that allow developers to perform model inference, training and evaluation. In particular, with rich layers of API abstraction, the ModelScope library offers... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Celery
Distributed task queue (development branch)
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. ... -
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CcClip
Vue and ffmpeg based tool for video clips
...It focuses on automating common editing workflows such as trimming, clipping, and formatting videos for social media platforms. The project integrates FFmpeg for encoding and processing, ensuring efficient handling of various video formats. It provides a lightweight interface and scripting capabilities that allow users to automate repetitive editing tasks. CcClip is particularly useful for creating short-form content by converting long videos into clips suitable for platforms like TikTok or YouTube Shorts. Its modular structure allows developers to extend functionality or integrate it into larger content pipelines. ... -
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paperless-gpt
Use LLMs and LLM Vision (OCR) to handle paperless-ngx
paperless-gpt is an AI-powered extension for document management systems that enhances the capabilities of paperless-ngx by integrating large language models and vision-based OCR to automate document processing and organization. It is designed to transform scanned or uploaded documents into structured, searchable, and intelligently categorized data without requiring manual tagging or sorting. The system uses OCR combined with LLM reasoning to extract text, classify documents, and generate metadata such as tags, titles, and categories automatically. ... -
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Paperless-AI
AI-powered document analysis and tagging for Paperless-ngx
Paperless-AI is an AI-powered extension designed to enhance document management within Paperless-ngx by automating analysis, classification, and organization tasks. It continuously monitors incoming documents and processes them using various AI backends, enabling automatic assignment of titles, tags, document types, and correspondents. It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key... -
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MDCx
Movie metadata scraper and organizer for media libraries and NFO
...MDCx can download information such as titles, cast data, artwork, and other metadata, then generate standardized NFO files compatible with media management systems. It also supports image processing tasks such as downloading and cropping artwork used by media centers. It includes several interfaces, allowing users to operate it through a graphical desktop application, a browser-based web interface, or command-line utilities depending on their workflow. Its architecture separates core scraping logic from the user interfaces, allowing the same metadata processing system to be reused across different modes. -
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OmniTools
Self-hosted collection of powerful web-based tools for everyday tasks
...It’s designed to replace the random assortment of “free online tools” people use for quick tasks, while avoiding ads, tracking, and the need to upload sensitive files to unknown servers. A key design choice is that file processing happens entirely on the client side, meaning your data stays in your browser instead of being sent to the backend. The tool catalog spans both technical and non-technical needs, including image, video, audio, PDF, text, date/time, math, and data format utilities like JSON/CSV/XML helpers. It’s also packaged for straightforward self-hosting, with a lightweight Docker image and simple run commands, so it can be deployed quickly on a homelab or internal network. -
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PHP Code Coverage
Collection, processing, and rendering functionality for PHP code
The php-code-coverage library, authored by Sebastian Bergmann, enables collection, processing, and rendering of PHP code coverage data. It integrates with PHPUnit or other testing frameworks to track which lines, methods, or classes are executed during tests. The library supports generating detailed reports in formats like HTML, Clover, or XML, helping teams understand test completeness and identify untested code paths. -
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Lingua-RS
The most accurate natural language detection library for Rust
Lingua-RS is a language detection library implemented in Rust, designed to accurately identify the language of given text samples. It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. -
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JOSE JWT
Ultimate Javascript Object Signing and Encryption (JOSE)
Minimalistic zero-dependency library for generating, decoding, and encryption JSON Web Tokens. Supports full suite of JSON Web Algorithms and Json Web Keys. JSON parsing agnostic can plug any desired JSON processing library. Extensively tested for compatibility with jose.4.j, Nimbus-JOSE-JWT, and json-jwt libraries. JWE JSON Serialization cross-tested with JWCrypto. -
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p5.js
Client-side JS platform for artists, designers and students to express
...However, you’re not limited to your drawing canvas. You can think of your whole browser page as your sketch, including HTML5 objects for text, input, video, webcam, and sound. p5.js is an interpretation of Processing for today’s web. We hold events and operate with support from the Processing Foundation. For self-learners and animators, artists, game makers, creative-technologists, curriculum planners, designers, graphic designers, graphics editors, learning experience designers, project managers, software engineer, student, teachers, university faculty members, visualization researchers, etc. -
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Angstrom
Parser combinators built for speed and memory efficiency
Angstrom is a parser-combinator library in OCaml designed for high-performance applications. It provides monadic and applicative interfaces for composing parsers and supports incremental input processing. -
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Ohm
A library and language for building parsers, interpreters, compilers
Ohm is a parsing toolkit consisting of a library and a domain-specific language. It allows developers to define grammars and build parsers, interpreters, and compilers with ease, facilitating language design and processing tasks. -
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diff2html
Pretty diff to html javascript library (diff2html)
...We work hard to make sure you can have your diffs in a simple and flexible way. The AI community building the future. Build, train and deploy state of the art models powered by the reference open source in natural language processing. Wrapper and helper adding syntax highlight, synchronized scroll, and other nice features. You can use it without syntax highlight or by passing your own implementation with the languages you prefer. Diff2Html can be used in various ways as listed in the distributions section. -
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Pyper
Concurrent Python made simple
Pyper is a Python-native orchestration and scheduling framework designed for modern data workflows, machine learning pipelines, and any task that benefits from a lightweight DAG-based execution engine. Unlike heavier platforms like Airflow, Pyper aims to remain lean, modular, and developer-friendly, embracing Pythonic conventions and minimizing boilerplate. It focuses on local development ergonomics and seamless transition to production environments, making it ideal for small teams and... -
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Robin
AI-powered tool for dark web OSINT search and investigation
...The project provides a modular architecture separating search, scraping, and AI processing components so it can be extended with new data sources. -
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Google Highway
Performance-portable, length-agnostic SIMD with runtime dispatch
...This portability is achieved through dynamic or static dispatch mechanisms that select the best available instruction set at runtime or compile time. The library is designed for developers who need to maximize CPU performance in domains such as image processing, compression, cryptography, and scientific computing. -
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LitServe
Minimal Python framework for scalable AI inference servers fast
...Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and output processing directly in Python. LitServe is built on top of FastAPI and extends it with AI-specific optimizations such as efficient multi-worker execution, which can significantly improve throughput. It includes built-in capabilities for batching, streaming responses, and automatic scaling across CPUs and GPUs, enabling high-performance deployments. -
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autoMate
AI tool for automating desktop tasks via natural language input
...Unlike conventional RPA tools that require predefined workflows, autoMate dynamically adapts to tasks by making autonomous decisions based on the current interface state. autoMate emphasizes local execution, meaning all processing happens on the user’s machine to maintain privacy and data security. -
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Youtu-Agent
A simple yet powerful agent framework that delivers with models
...The system focuses on reducing the complexity traditionally involved in configuring large language model agents by providing a modular architecture that separates execution environments, tools, and context management. This structure allows developers to rapidly assemble agent systems capable of performing tasks such as research, file processing, and data analysis. The framework supports automated generation of agent components, enabling the system to synthesize prompts, tool interfaces, and workflow configurations automatically. Youtu-Agent also incorporates hybrid learning strategies that combine experience accumulation with reinforcement learning to improve agent performance over time. ... -
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TaxHacker
Self-hosted AI accounting app. LLM analyzer for receipts
TaxHacker is an open-source, self-hosted accounting application that uses artificial intelligence to automate financial record management for freelancers, independent developers, and small businesses. The system is designed to simplify bookkeeping by automatically processing financial documents such as receipts, invoices, and transaction records. It integrates large language models to analyze these documents, extract relevant financial information, and categorize expenses or income based on configurable rules. Users can deploy the application on their own infrastructure, ensuring that financial data remains private and under their control rather than being processed by external services. ... -
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Synthetic Data Generator
SDG is a specialized framework
...The system supports multiple generation methods including statistical models, generative adversarial networks, and large language model–based synthesis. It also includes a data processing module capable of handling different data types, preprocessing columns, managing missing values, and converting formats automatically before model training.
