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Starred repositories
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared …
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
Pretty diff to html javascript library (diff2html)
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Shared data types for building collaborative software
Free, simple, and intuitive online database diagram editor and SQL generator.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Robust Speech Recognition via Large-Scale Weak Supervision
🦜🔗 Build context-aware reasoning applications
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
An powerful enhanced toolkit of MyBatis for simplify development
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
⚡️Faster subsequent page-loads by prefetching in-viewport links during idle time
A modern Go utility library which provides helpers (map, find, contains, filter, ...)
The missing UI for Helm - visualize your releases
Zygo is a Lisp interpreter written in 100% Go. Central use case: dynamically compose Go struct trees in a zygo script, then invoke compiled Go functions on those trees. Makes Go reflection easy.