This project is a curated collection of technical slide decks focused on high-performance architecture, middleware, cloud-native technologies, and Golang development. The slides are stored as Markdown files in a Git repository, which provides version history and straightforward hosting, and are converted into HTML for direct viewing in a web browser without requiring any downloads. The repository covers a range of advanced technical topics, including distributed consensus algorithms like Raft, network programming models such as epoll and io_uring, and the internals of systems like Apache Puls
next-learn is a collection of educational resources and reference implementations for building full-stack web applications. It serves as a learning resource and tutorial for the Next.js framework, providing starter code and example projects that demonstrate server-side rendering and the React-based ecosystem. The project provides a full-stack web template that showcases a complete implementation of database integration, user authentication, and server-side logic. It includes reference examples for web performance optimization, specifically demonstrating the use of server components, server ac
This project is a database technical blog and markdown knowledge base. It serves as a structured repository of instructional content, guides, and an AI research archive focused on the intersection of artificial intelligence and database technologies. The project provides an open source community guide containing strategic frameworks and methodologies for operating and growing software communities. It also includes resources for database system selection, using evaluation rules and comparison frameworks to determine the most suitable architecture for specific technical needs. The repository c
This project is a Chinese language translation of the technical guides and API references for the PyTorch deep learning framework. It serves as a localized knowledge base and reference material to make deep learning documentation accessible to non-English speakers. The documentation covers a comprehensive range of PyTorch capabilities, including neural network model development, automatic differentiation, and the implementation of backend kernels. It provides detailed guidance on distributed training strategies, model deployment through formats like ONNX and C++, and various model optimizatio
This project is a static technical presentation archive and HTML-based slide viewer. It serves as a reference library and knowledge base for frontier technology, specifically archiving slides and visual materials covering cloud computing, artificial intelligence, and fintech.
Principalele funcționalități ale alibaba-technology/hangzhouyunqi2017ppt sunt: Technical Presentation Archives, Artificial Intelligence & ML, Technical Knowledge Bases, Cloud Computing Concepts, Technical Reference Materials, Technical Slide Deck Collections, Fintech Industry Research, Static Asset Hosting.
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