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Tags: LLM tools
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121–144 of 651 · Most stars

The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.

  • text-extraction
  • document-intelligence
  • metadata-extraction
  • pdf-extraction

Awesome curated collection of images and prompts generated by gemini-2.5-flash-image (aka Nano Banana) state-of-the-art image generation and editing model. Explore AI generated visuals created with Gemini, showcasing Google’s advanced image generation capabilities.

TranslatedDaily check-in script based on 「Docker」/「QingLong Panel」/「Synology」 (supports multiple accounts). Check-in list: |iQIYI|Quanmin K Song|Youdao Cloud Notes|Baidu Tieba|Bilibili|V2EX|AcFun|Smzdm (What's Worth Buying)|Aliyun Drive|i Moutai Purchase Application|Xiaomi Sports|Baidu Search Resource Platform|Right Mountain Forum (Enshan)|Aola Star|

Stylish, intuitive and user-friendly prompts. Used by eslint, webpack, yarn, pm2, pnpm, RedwoodJS, FactorJS, salesforce, Cypress, Google Lighthouse, Generate, tencent cloudbase, lint-staged, gluegun, hygen, hardhat, AWS Amplify, GitHub Actions Toolkit, @airbnb/nimbus, and more! Please follow Enquirer's author: https://github.com/jonschlinkert

  • prompt
  • inquirer
  • cli
  • readline

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

  • ingestion-api
  • ocr
  • omniparser
  • parse-server

TranslatedSelf-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows. Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.

TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments

  • accelerator
  • ai-infra
  • ai-infrastructure
  • book