Search Results for "text analysis" - Page 3
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Showing 443 open source projects for "text analysis"
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golangci-lint
Fast linters Runner for Go
...It runs linters in parallel, uses caching, supports yaml config, has integrations with all major IDE and has dozens of linters included. ⚡ Very fast: runs linters in parallel, reuses Go build cache and caches analysis results. Yaml-based configuration. Integrations with VS Code, Sublime Text, GoLand, GNU Emacs, Vim, Atom, GitHub Actions. A lot of linters included, no need to install them. Minimum number of false positives because of tuned default settings. Nice output with colors, source code lines and marked identifiers. -
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yek
Serialize repositories into LLM-ready context w/ smart prioritization
...Configuration is handled through a yek.yaml file, allowing users to define ignore rules and priority settings. By consolidating code and documents into a single, ordered format, Yek simplifies preparing repositories for AI-driven analysis, debugging, or automation tasks. -
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Biomni
Biomni: a general-purpose biomedical AI agent
...It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming tasks such as literature review, data analysis, and experimental design. Biomni operates within a comprehensive environment that includes tools, APIs, and datasets, enabling it to execute multi-step research processes rather than just generating text responses. It supports integration with multiple AI models, allowing flexibility in selecting the most appropriate model for specific tasks. -
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DataProfiler
Extract schema, statistics and entities from datasets
DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and... -
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DeerFlow
Deep Research framework, combining language models with tools
DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”)... -
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eslint-plugin-jsx-a11y
Static AST checker for a11y rules on JSX elements
Static AST checker for accessibility rules on JSX elements. This plugin does a static evaluation of the JSX to spot accessibility issues in React apps. Because it only catches errors in static code, use it in combination with axe-core/react to test the accessibility of the rendered DOM. Consider these tools just as one step of a larger a11y testing process and always test your apps with assistive technology. If you installed ESLint globally (using the -g flag in npm, or the global prefix in... -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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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. The architecture distributes computation and memory usage across the GPU, CPU, and disk in order to maximize the number of tokens processed during inference. ... -
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repo2txt
Web-based tool converts GitHub repository contents
repo2txt is an open-source developer tool that converts the contents of a code repository into a single structured text file that can be easily consumed by large language models. The tool is designed to address the challenge of analyzing entire codebases with AI assistants, where code is normally distributed across many files and directories. By collecting repository contents and formatting them into a single text document, repo2txt allows developers to feed complete projects into AI systems for analysis, documentation, or code explanation tasks. ... -
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pangu.py
Paranoid text spacing in Python
...It’s designed to be pragmatic and lightweight, with sensible defaults that handle common edge cases found in websites, blogs, and multilingual technical docs. Because it targets clarity over heavy linguistic analysis, it’s easy to adopt and delivers immediate, visible improvements to mixed CJK/Latin text. -
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Big-AGI
AI suite powered by state-of-the-art models and providing advanced AI
Big-AGI is a comprehensive, open-source AI workspace built to serve as a powerful multi-model interface for developers, researchers, and professionals who want deep control over generative AI workflows and outputs. It unifies access to multiple large language models (LLMs) and AI services through a modern web UI that emphasizes efficient interaction, flexibility, and extensibility, enabling users to conduct multi-model chats, execute code, generate images, and perform voice or text-based... -
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Application Inspector
A source code analyzer built for surfacing features of interest
Microsoft Application Inspector is a software source code characterization tool that helps identify coding features of first or third party software components based on well-known library/API calls and is helpful in security and non-security use cases. It uses hundreds of rules and regex patterns to surface interesting characteristics of source code to aid in determining what the software is or what it does from what file operations it uses, encryption, shell operations, cloud API's,... -
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Apache Lucene
Apache Lucene open-source search software
The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a Python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub-project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of... -
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Former.skill
AI skill generator designed to reconstruct conversational personality
Ex Skill is an AI skill generator designed to reconstruct the conversational personality and shared memories of a former partner from personal data. It can analyze exported chats, photos, social media records, PDFs, images, and manually entered descriptions. The system builds separate memory and persona layers covering relationship history, habits, emotional patterns, communication style, and behavior. Generated personas can respond in a style modeled after the source material. New... -
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Article Extractor
To extract main article from given URL with Node.js
A Node.js library for extracting main content from web articles, removing unnecessary clutter like ads and navigation elements. -
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MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
MEDIUM_NoteBook is an open-source repository that contains a collection of Jupyter notebooks and code examples originally developed to accompany technical articles published on Medium. The project provides practical demonstrations of machine learning algorithms, data analysis workflows, and visualization techniques. Each notebook typically focuses on explaining a specific concept through step-by-step examples that combine explanatory text, code, and visual outputs. The repository covers a wide variety of data science topics such as predictive modeling, data preprocessing, statistical analysis, and feature engineering. ... -
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NativeMind Extension
Your fully private, open-source, on-device AI assistant
NativeMindExtension is an open-source browser extension that provides a private, on-device AI assistant designed to run without cloud dependencies. The project is built around a privacy-first model in which conversations, document analysis, translations, and writing assistance stay on the user’s device rather than being sent to external servers. It integrates with local model back ends such as Ollama and also supports WebLLM for quick in-browser trials, giving users a choice between stronger... -
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Obsidian Local GPT
Local Ollama and OpenAI-like GPT's assistance for maximum privacy
...It supports both local models through Ollama and OpenAI-compatible APIs, allowing users to choose between fully offline workflows or hybrid setups. The plugin introduces an “Action Palette” system that enables users to run predefined or custom AI-powered actions on selected text, notes, or entire documents. It integrates deeply with Obsidian’s structure by pulling context from backlinks, linked notes, and even external files like PDFs to enhance responses. The system also supports multimodal capabilities, including image analysis when paired with compatible models. Users can create reusable prompts, install community-provided actions, and manage workflows directly inside their note-taking environment. -
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NeMo Retriever Library
Document content and metadata extraction microservice
NeMo Retriever Library is a scalable microservice framework designed for extracting, structuring, and enriching content from documents to support downstream generative AI applications. It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient handling of large datasets. It supports multiple extraction strategies for different document formats, balancing accuracy and throughput depending on the use case. ... -
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Llama Cookbook
Solve end to end problems using Llama model family
The Llama Cookbook is the official Meta LLaMA guide for inference, fine‑tuning, RAG, and multi-step use-cases. It offers recipes, code samples, and integration examples across provider platforms (WhatsApp, SQL, long context workflows), enabling developers to quickly harness LLaMA models -
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PHP Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. ... -
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vim-go
Go development plugin for Vim
This plugin adds Go language support for Vim, with the following main features. Look up documentation with :GoDoc or :GoDocBrowser, easily import packages via :GoImport, remove them via :GoDrop. Precise type-safe renaming of identifiers with :GoRename. See which code is covered by tests with :GoCoverage. Add or remove tags on struct fields with :GoAddTags and :GoRemoveTags. Call golangci-lint with :GoMetaLinter to invoke all possible linters (golint, vet, errcheck, deadcode, etc.) and put... -
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MiniCPM-o
A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming
MiniCPM-o 2.6 is a cutting-edge multimodal large language model (MLLM) designed for high-performance tasks across vision, speech, and video. Capable of running on end-side devices such as smartphones and tablets, it provides powerful features like real-time speech conversation, video understanding, and multimodal live streaming. With 8 billion parameters, MiniCPM-o 2.6 surpasses its predecessors in versatility and efficiency, making it one of the most robust models available. It supports... -
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Browserless
The headless Chrome/Chromium driver on top of Puppeteer
Browserless is an open-source headless browser automation library and service built on top of Puppeteer that simplifies the process of running and scaling Chromium-based browser tasks in production environments. It provides a high-level API for interacting with headless Chrome, allowing developers to perform operations such as generating PDFs, capturing screenshots, extracting text or HTML, and automating web navigation. The project is designed to act as a production-ready abstraction layer... -
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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...
