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Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
FREE FOREVER, NO LIMITS 100% Programmatic, Zero-AI Plagiarism Remover & Similarity Evader. Bypass Turnitin, iThenticate, GPTZero, CopyLeaks, Quillbot & ZeroGPT for LaTeX, DOCX, & Multi-Language Source Code.
TranslatedBELLE: Be Everyone's Large Language model Engine (open-source Chinese conversational large language model)
Translated达尔文.skill (Darwin.skill) — a system that lets your Skill evolve endlessly: evaluate → improve → test → keep or revert | Autoresearch-inspired autonomous skill optimization for Claude Code. Evaluate, improve, test, keep or revert.
:books: To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS :dizzy: 程序员的技术视野、知识管理与职业规划，提高个人与团队的研发效能
Klipse is a JavaScript plugin for embedding interactive code snippets in tech blogs.
📊 A multi theme, completely accessible, ready for production dashboard.
:books: Awesome CS Books(with Digests)/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀创业、商业、产品、人文、计算机科学与技术领域相关的书籍归档，以及我的读书笔记。
Documenting the unofficial and internal Steam Web API
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
Evade internet censorship!
:dizzy: TransitionEnd is an agnostic and cross-browser library to work with transitionend event.
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto