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A collection of 6 GitHub quant trading projects that connect the learning → strategy → backtesting → live trading pipeline: awesome-quant, machine-learning-for-trading, quant-trading, backtrader, zipline, and ccxt.
A Chinese-language roundup of information sources, organizing 10 major categories and 80 high-quality resources covering free courses, academic databases, open-source tools, and tech & AI news channels — helping users access first-hand information and find free alternatives to paid software.
The tweet announces a major update to an AI performance engineering resource list, providing comprehensive materials for learning GPU and AI optimization techniques.
This article lists 15 free resource websites covering e-books, movies, and music, helping users access various types of content without spending money.
This article introduces 'The Lenny 100', a curated list of 100 companies with high talent density, ambitious problems, large growth opportunities, and currently hiring, aimed at helping job seekers set their job search priorities.
A tweet shares a comprehensive collection of C++ articles from the Modernes C++ blog, created by the late Rainer Grimm and now maintained by a collective of C++ experts.
A curated stack of 20 books across 5 categories for learning AI/ML from fundamentals to production systems.
A curated list of resources for mastering LLM cache management, including explanations, tutorials, and research papers on KV cache, prefix caching, and related techniques.
A curated list of 50 free websites covering tools for video downloading, image editing, temporary email, research, and more, presented as a Twitter thread.
A curated list of 50 AI tools for various tasks in 2026, including chatbots, video generators, design tools, and automation platforms.
Recommends 4 public GitHub repos covering AI side hustle directions, MVP validation, indie development resources, and 300+ AI projects that can be redeveloped, helping users go from finding needs to product monetization.
A seasoned developer shares a curated list of computer books accumulated over many years, covering mainstream languages such as Python, C++, Java, and Rust, along with multiple technical fields, emphasizing the importance of building a solid foundation for solving complex problems.
A Twitter thread sharing a curated personal library of high-quality blogs, podcasts, papers, and projects on AI evaluations (evals), inviting additions.
Recommends 15 YouTube channels for learning AI in 2026, categorized by learning stage, with study path advice for beginners, engineering projects, and cutting-edge trends.
Recommend 11 high-quality open-source projects on GitHub covering AI agent frameworks, AI programming, memory systems, research automation, and quantitative investment tools, designed to help developers get started quickly and boost efficiency.
A tweet thread compiling essential resources for AI engineering, covering dataset engineering, evaluations, context engineering, agent memory, MCP, observability, inference optimization, and security.
A curated list of English Twitter accounts worth following in AI, covering large language models, entrepreneurship, AI marketing, agents, and more.
AI Engineering Hub 是一个开源学习资源仓库，收录了 93+ 个生产可用的 AI 项目教程，涵盖 OCR、RAG、AI 智能体、微调等内容，按初级到高级分级组织，适合各水平开发者动手实践。