Search Results for "processing" - Page 24
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Showing 5098 open source projects for "processing"
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DocToc
Generates table of contents for markdown files inside local git
DocToc is a command-line utility that automatically generates and maintains tables of contents inside Markdown documents. It supports Markdown, Markdown Extended, and MDX files and can recursively process complete directory trees. Generated links can match anchor conventions used by GitHub, GitLab, Bitbucket, Node.js, and Ghost. Users can limit heading levels, exclude specific headings, control list formats, and choose where the generated table appears. Dry-run and update-only modes make it... -
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TRIBE v2
A multimodal model for brain response prediction
...TRIBE v2 allows researchers to simulate and analyze brain activity without requiring direct human experiments. Overall, it provides a powerful tool for studying perception, cognition, and multimodal processing in the brain. -
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LibPDF
A modern PDF library for TypeScript
LibPDF-js/core is a modern, TypeScript-first PDF processing library that provides a comprehensive toolkit for parsing, modifying, and generating PDF documents with a clean, intuitive API designed to handle real-world files safely and robustly. Unlike many existing JavaScript PDF libraries, it emphasizes lenient parsing that can gracefully handle malformed structures and fallback strategies where typical parsers fail, making it useful for production environments that encounter unpredictable file formats. ... -
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Scio
A Scala API for Apache Beam and Google Cloud Dataflow
Scio is a Scala API developed by Spotify that builds on Apache Beam to enable expressive batch and streaming data pipelines, optimized for running on Google Cloud Dataflow. Inspired by Spark and Scalding, it provides scalable, type‑safe, and production-grade data processing, with built-in support for BigQuery, Pub/Sub, Cassandra, Elasticsearch, Redis, TensorFlow IO, and more. -
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Spatie Crawler
An easy to use, powerful crawler implemented in PHP
Spatie Crawler is a PHP library that allows developers to crawl websites and extract information efficiently. It can be used for web scraping, link checking, or automated testing of web pages. The library is simple to use and supports customizable crawling strategies, including controlling crawl depth and handling redirects. It’s suitable for building crawlers that navigate large or dynamically generated websites. -
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SALMONN family
A suite of advanced multi-modal LLMs
SALMONN is a family of advanced multi-modal large language models (LLMs) developed by ByteDance — designed to handle and integrate multiple data modalities (e.g. text, audio, video) rather than just plain text. The repository bundles different branches targeting specialized tasks (e.g. video-SALMONN, speech-quality assessment, general multimodal tasks), suggesting that the project is modular and extensible across domains. SALMONN aims to push the frontier of multi-modal AI by allowing models... -
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
Matrix is a distributed, large-scale engine for multi-agent synthetic data generation and experiments: it provides the infrastructure to run thousands of “agentic” workflows concurrently (e.g. multiple LLMs interacting, reasoning, generating content, data-processing pipelines) by leveraging distributed computing (like Ray + cluster management). The idea is to treat data generation as a “data-to-data” transformation: each input item defines a task, and the runtime orchestrates asynchronous, peer-to-peer agent workflows, avoiding global synchronization bottlenecks. That design makes Matrix particularly well-suited for large-batch inference, model benchmarking, data curation, augmentation, or generation — whether for language, code, dialogue, or multimodal tasks. ... -
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PostgresML
The GPU-powered AI application database
...Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. ... -
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Norfair
Lightweight Python library for adding real-time multi-object tracking
...Any detector expressing its detections as a series of (x, y) coordinates can be used with Norfair. This includes detectors performing tasks such as object or keypoint detection. It can easily be inserted into complex video processing pipelines to add tracking to existing projects. At the same time, it is possible to build a video inference loop from scratch using just Norfair and a detector. Supports moving camera, re-identification with appearance embeddings, and n-dimensional object tracking. Norfair provides several predefined distance functions to compare tracked objects and detections. ... -
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tika-python
Python binding to the Apache Tika™ REST services
A Python port of the Apache Tika library that makes Tika available using the Tika REST Server. This makes Apache Tika available as a Python library, installable via Setuptools, Pip and easy to install. To use this library, you need to have Java 7+ installed on your system as tika-python starts up the Tika REST server in the background. To get this working in a disconnected environment, download a tika server file (both tika-server.jar and tika-server.jar.md5, which can be found here) and set... -
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txtai
Build AI-powered semantic search applications
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid... -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of... -
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GeoServer
GeoServer repository
...GeoServer is the reference implementation of the Open Geospatial Consortium (OGC) Web Feature Service (WFS) and Web Coverage Service (WCS) standards, as well as a high-performance certified compliant Web Map Service (WMS), compliant Catalog Service for the Web (CSW) and implementing Web Processing Service (WPS). GeoServer forms a core component of the Geospatial Web. -
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
You can use Besu to develop enterprise applications requiring secure, high-performance transaction processing in a private network. A private network is a network not connected to Ethereum Mainnet or an Ethereum testnet. Private networks typically use a different chain ID and proof of authority consensus (QBFT, IBFT 2.0, or Clique). You can also create a local development network using proof of work (Ethash). Instructions for how to get started with developing on the Besu codebase. ... -
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gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
gtsummary is an R package for creating elegant, customizable, publication-ready summary tables of datasets and statistical models. It provides concise code to produce demographic tables (tbl_summary()), regression result tables, and more, with flexible styling options for reporting. -
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Qpsmtpd
qpsmtpd is a flexible smtpd daemon written in Perl
qpsmtpd is a flexible SMTP daemon written in Perl, designed to be easily extensible through a plugin architecture. It serves as a drop-in replacement for qmail-smtpd and supports integration with various mail transfer agents, providing advanced spam filtering and email processing capabilities. -
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Pyparsing
Python library for creating PEG parsers
pyparsing is a Python library that facilitates the creation of parsers using a parsing expression grammar (PEG) approach. It allows developers to construct grammars directly in Python code, offering an alternative to traditional parsing methods. -
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MCP Neo4j
Model Context Protocol with Neo4j
An implementation of the Model Context Protocol with Neo4j, enabling natural language interactions with Neo4j databases and facilitating operations such as schema retrieval and Cypher query execution. -
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K8M
Mini Kubernetes AI Dashboard
An AI-driven Mini Kubernetes Dashboard designed to simplify cluster management, offering a lightweight console tool with integrated large language model capabilities for enhanced operational efficiency. -
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toxic-repos
We are against discrediting open source software
toxic-repos is a tool that analyzes GitHub repositories to detect signs of hostile or problematic behavior in open-source communities. It helps developers and contributors identify repositories with negative engagement patterns. -
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Fast CSV
CSV parser and formatter for node
A high-performance Node.js library for parsing and formatting CSV data efficiently. -
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Capture Website
Capture screenshots of websites
A command-line tool and API that captures screenshots of websites using headless Chromium, supporting various output formats and customization. -
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PolarDB-X
PolarDB-X is a cloud native distributed SQL Database
PolarDB-X is a cloud-native distributed SQL database designed to handle high concurrency, massive storage, and complex querying scenarios. It features a shared-nothing architecture that decouples computing from storage, providing scalability and flexibility for various applications. -
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DeepBI
LLM based data scientist, AI native data application
DeepBI is an AI-native data analysis platform. DeepBI leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use DeepBI to gain data insight and make data-driven decisions. -
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Agenda
Lightweight job scheduling for Node.js
A light-weight job scheduling library for Node.js.
