Search Results for "open document" - Page 16
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Showing 1605 open source projects for "open document"
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Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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TypeUI DESIGN.md Extractor
Chrome extension to extract styles from any website
TypeUI DESIGN.md Extractor is a Chrome extension that improves the readability and visual presentation of Markdown files viewed directly in the browser. The project automatically transforms raw Markdown documents into styled, GitHub-like rendered pages with enhanced typography, syntax highlighting, and layout improvements. It is designed to make technical documentation, README files, notes, and markdown-based content easier to consume without requiring external viewers or conversion tools.... -
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Pathway AI Pipelines
Ready-to-run cloud templates for RAG
Pathway AI Pipelines is a collection of ready-to-deploy AI pipeline templates designed to help developers rapidly build production-grade retrieval-augmented generation and enterprise search applications. The project provides end-to-end examples that connect live data sources to LLM workflows, enabling applications to stay synchronized with continuously changing information. It supports numerous connectors including local files, Google Drive, SharePoint, Kafka, PostgreSQL, and real-time APIs,... -
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Grape
An opinionated framework for creating REST-like APIs in Ruby
Grape is a Ruby framework for building REST-like APIs with a focus on simplicity and convention. It provides a DSL for declaring endpoints, parameters, formats, and validation rules, making it easy to build consistent and documented APIs. Grape supports multiple content types (JSON, XML, etc.), versioning, error handling, and authentication hooks, which are crucial for maintaining long-lived APIs. It integrates well with frameworks like Rails or Sinatra but can also be used standalone for... -
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NeMo Curator
Scalable data pre processing and curation toolkit for LLMs
NeMo Curator is a Python library specifically designed for fast and scalable dataset preparation and curation for large language model (LLM) use-cases such as foundation model pretraining, domain-adaptive pretraining (DAPT), supervised fine-tuning (SFT) and paramter-efficient fine-tuning (PEFT). It greatly accelerates data curation by leveraging GPUs with Dask and RAPIDS, resulting in significant time savings. The library provides a customizable and modular interface, simplifying pipeline... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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YamlDotNet
YamlDotNet is a .NET library for YAML
YamlDotNet provides low-level parsing and emitting of YAML as well as a high-level object model similar to XmlDocument. A serialization library is also included that allows to read and write objects from and to YAML streams. YAML, which stands for "YAML Ain't Markup Language", is described as "a human-friendly data serialization standard for all programming languages". Like XML, it allows to represent of any kind of data in a portable, platform-independent format. Unlike XML, it is "human... -
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Lambda Builders
Python library to compile, build & package AWS Lambda functions
Python library to compile, build & package AWS Lambda functions for several runtimes & frameworks. AWS Lambda Builders also supports Custom workflow through a Makefile. Lambda Builders is the brains behind the sam build command from AWS SAM CLI. Lambda Builders is a Python library. It additionally exposes a JSON-RPC 2.0 interface to use in other languages. Build Actions could be implemented in any programming language. Preferably in the language that they are building. Some build actions... -
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Redcarpet
The safe Markdown parser, reloaded
Redcarpet is written with sugar, spice and everything nice. Redcarpet is a Ruby library for Markdown processing that smells like butterflies and popcorn. Redcarpet would not be possible without the Sundown library and its authors (Natacha Porté, Vicent Martí, and its many awesome contributors). Redcarpet is readily available as a Ruby gem. It will build some native extensions, but the parser is standalone and requires no installed libraries. Starting with Redcarpet 3.0, the minimum required... -
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Swagger Codegen
Template-driven engine to generate documentation
Swagger-Codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. Simplify API development for users, teams, and enterprises with the Swagger open source and professional toolset. Find out how Swagger can help you design and document your APIs at scale. The power of Swagger tools starts with the OpenAPI Specification, the industry standard for RESTful API design. Individual tools to create, update and share OpenAPI definitions with consumers. SwaggerHub is the platform solution to support OpenAPI workflows at scale. ... -
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Korvus
Korvus is a search SDK that unifies the entire RAG pipeline
Korvus is an open-source retrieval-augmented generation (RAG) pipeline designed to run entirely inside PostgreSQL, allowing developers to build AI search and knowledge systems directly within a database environment. The project consolidates the typical steps of a RAG pipeline—including embedding generation, document retrieval, reranking, and text generation—into a single query executed within the Postgres ecosystem. -
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Dolphin
Document Image Parsing via Heterogeneous Anchor Prompting”
Dolphin — maintained by ByteDance — is a project aimed at providing a high-performance, robust, and extensible media or multimedia framework / player infrastructure (or possibly a streaming media solution), intended to meet modern demands for efficiency, flexibility, and integration in media-heavy applications. It seeks to combine performant media playback or handling (audio/video decoding, streaming, buffering) with a modular, developer-friendly API that allows easy embedding into larger... -
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FlexLLMGen
Running large language models on a single GPU
FlexLLMGen is an open-source inference engine designed to run large language models efficiently on limited hardware resources such as a single GPU. The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware. ... -
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SAG
SQL-Driven RAG Engine
SAG is an open-source SQL-driven retrieval-augmented generation engine that dynamically constructs knowledge graphs during query processing. Instead of relying on a static knowledge graph prepared in advance, the system automatically builds relational structures between entities while processing user queries. Documents are first decomposed into atomic semantic events, which are then represented using multidimensional natural language vectors. These vectors allow the system to identify... -
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ModernBERT
Bringing BERT into modernity via both architecture changes and scaling
ModernBERT is an open-source research project that modernizes the classic BERT encoder architecture by incorporating recent advances in transformer design, training techniques, and efficiency improvements. The goal of the project is to bring BERT-style models up to date with the capabilities of modern large language models while preserving the strengths of bidirectional encoder architectures used for tasks such as classification, retrieval, and semantic search. ModernBERT introduces... -
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DevDocs by CyberAGI
Completely free, private, UI based Tech Documentation MCP server
DevDocs is an open-source documentation server designed to provide developers with a private, structured interface for browsing and interacting with technical documentation using AI tools. The system functions as a Model Context Protocol (MCP) server that allows large language models and developer assistants to access technical documentation in a structured and efficient way. Instead of sending entire documents to a language model, DevDocs organizes documentation into sections so that only... -
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Superagent
Superagent protects your AI applications
Superagent is an open-source AI safety platform built to protect applications from prompt injections, data leaks, and harmful outputs. It embeds real-time safety directly into AI workflows, helping teams secure models before threats cause damage. Superagent provides guardrails that block jailbreaks, prompt manipulation, and sensitive data exfiltration. It includes redaction tools to remove PII, PHI, and secrets automatically from text. The platform also scans code repositories to detect... -
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The Machine & Deep Learning Compendium
List of references in my private & single document
The Machine & Deep Learning Compendium is an open-source knowledge repository that compiles summaries, references, and learning materials related to machine learning and deep learning. The project functions as a comprehensive compendium that organizes hundreds of topics covering algorithms, frameworks, research areas, and practical machine learning workflows. Originally created as a personal knowledge base, the repository evolved into a public educational resource designed to help learners... -
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Telos
Telos is an open-sourced framework for creating Deep Context
Telos is an open-sourced framework designed to help individuals, organisations, or even planetary-scale entities articulate what they are about and how they intend to pursue their purpose. It encourages capturing a “context file” that outlines mission, goals, problems, strategies, KPIs, and other core components of meaningful work. The project emphasises creating deep context about matters that humans care about, making underlying intentions explicit rather than implicit. -
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marqo
Tensor search for humans
A tensor-based search and analytics engine that seamlessly integrates with your applications, websites, and workflows. Marqo is a versatile and robust search and analytics engine that can be integrated into any website or application. Due to horizontal scalability, Marqo provides lightning-fast query times, even with millions of documents. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. It can seamlessly handle image-to-image, image-to-text and... -
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rollama
Wrap the Ollama API, which allows you to run different LLMs
rollama is an R package that provides a convenient interface for interacting with local large language models through the Ollama API, bringing modern AI capabilities into the R ecosystem. It is designed to make LLM usage accessible to data scientists and researchers who work primarily in R, allowing them to generate text, analyze data, and create embeddings without relying on external cloud services. The package emphasizes reproducibility and privacy by enabling local execution of models,... -
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LLM TLDR
95% token savings. 155x faster queries. 16 languages
LLM TLDR is a tool that leverages large language models (LLMs) to generate concise, coherent summaries (TL;DRs) of long documents, articles, or text files, helping users quickly understand large amounts of content without reading every word. It integrates with LLM APIs to handle input texts of varying lengths and complexity, applying techniques like chunking, context management, and multi-pass summarization to preserve accuracy even when the source is very large. The system supports both... -
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LaTeX Examples
Examples for the usage of LaTeX
LaTeX-examples is a repository collecting a variety of example documents and snippets demonstrating LaTeX features, usage patterns, and common templates. It acts as a playground for learning LaTeX syntax, macros, formatting tricks, and document structuring practices. Files include sample articles, reports, book chapters, presentations (using Beamer), tables, mathematical typesetting examples (equations, aligned systems, integrals, matrices), custom macros, and styling. The project is useful... -
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crystalline
A Language Server Protocol implementation for Crystal
Crystalline is an implementation of the Language Server Protocol written in and for the Crystal Language. It aims to provide limited language features (like go-to, autocompletion, syntax and semantic checking) and ease development with any compatible code editor. Crystalline is not as extensive in terms of features as other Language Servers but still provides very convenient tools. Code Diagnostics. Syntax and semantic checks on save. Limited Autocompletion. List (depending on the target)... -
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Ladle
Develop, test and document your React story components faster
Ladle is a drop-in alternative to Storybook. It is a tool for developing and testing your React components in an environment that's isolated and faster than most real-world applications. Ladle also creates an index of your components, so you can easily test them through tools like Playwright. Ladle is compatible with the Component Story Format and Controls. It supports links, themes, right-to-left, source code, a11y (axe), typescript and flow out of the box. Powered by Vite, using esbuild,... -
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Pulse
Logger and network inspector for Apple platforms
There is always this friction when it comes to debugging native apps: you can’t inspect anything that happens behind the scenes unless you use special tools, not even network requests. That’s not the case on the web with tools like Safari Web Inspector. I wanted to bring something similar to native apps. What is Pulse? It’s a persistent logger with a network inspector, but not just a tool. It’s also a framework. PulseCore.framework (iOS, macOS, watchOS, tvOS) provides a logger itself and a... -
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Slate Text Editor framework
Completely customizable framework for building rich text editors
you can do things like turn a selection of text bold, or add a semantically rendered block quote in the middle of the page. The most important part of Slate is that plugins are first-class entities. That means you can completely customize the editing experience, to build complex editors like Medium's or Dropbox's, without having to fight against the library's assumptions. Slate's core logic assumes very little about the schema of the data you'll be editing, which means that there are no...
