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基于小红书 Web 端进行的请求封装。https://reajason.github.io/xhs/
An open source, lightweight note-taking service. Easily capture and share your great thoughts.
短视频解析平台支持解析 抖音、快手、ins、faceBook、youtobe、西瓜视频、今日头条、小红书、微视、火山小视频、陌陌视频、映客视频、小咖秀、开眼、全民小视频、全民K歌、最右、小影、微博、美拍、皮皮虾等平台的短视频去水印解析API接口
ai副业赚钱大集合,教你如何利用ai做一些副业项目,赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English versi…
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our c…
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Asynchronous & persistent push notification service, supporting APNS, FCM, Web Push, Telegram and Email. Written in Go (Golang). Mirror of https://gitlab.com/pennersr/shove
涵盖大部分Java进阶需要掌握的知识,包括【微服务】【中间件】【缓存】【数据库优化】【搜索引擎】【分布式】等等,欢迎Star~
基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core
本系统是集工单统计、任务钩子、权限管理、灵活配置流程与模版等等于一身的开源工单系统,当然也可以称之为工作流引擎。 致力于减少跨部门之间的沟通,自动任务的执行,提升工作效率与工作质量,减少不必要的工作量与人为出错率。
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 | 评论爬虫、微博帖子 | 评论爬虫
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Weekly Go Online Meetup via Bilibili|Go 夜读|通过 bilibili 在线直播的方式分享 Go 相关的技术话题,每天大家在微信/telegram/Slack 上及时沟通交流编程技术话题。
The official GitHub page for the survey paper "A Survey of Large Language Models".
Information gathering framework for phone numbers
papers related to LLM-agent that published on top conferences
A curated list of Rust code and resources.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Code AI platform with Code Search & Cody
📖 Go 程序员面试笔试宝典 | 从问题切入,串连 Go 语言相关的所有知识,融会贯通。 https://golang.design/go-questions
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
LangChain for Go, the easiest way to write LLM-based programs in Go
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
A cloud-native vector database, storage for next generation AI applications