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基于python的网页自动化工具。既能控制浏览器，也能收发数据包。可兼顾浏览器自动化的便利性和requests的高效率。功能强大，内置无数人性化设计和便捷功能。语法简洁而优雅，代码量少。
PyTorch Tutorial for Deep Learning Researchers
⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.
Drag & drop UI to build your customized LLM flow
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
🦜🔗 Build context-aware reasoning applications
DSPy: The framework for programming—not prompting—foundation models
1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
涵盖了 Spring 框架的核心概念和关键功能，包括控制反转（IOC）容器的使用，面向切面编程（AOP）的原理与实践，事务管理的方式与实现，Spring MVC 的流程与控制器工作机制，以及 Spring 中数据访问、安全、Boot 自动配置等方面的深入研究。此外，它还包含了 Spring 事件机制的应用、高级主题如缓存抽象和响应式编程，以及对 Spring 源码的编程风格与设计模式的深入探讨。
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）
Natural Language Processing Tutorial for Deep Learning Researchers
Understanding Deep Learning - Simon J.D. Prince
📚 Freely available programming books
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
👾 Open source implementation of the ChatGPT Code Interpreter
A high-throughput and memory-efficient inference and serving engine for LLMs
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
