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GitHub repo for the MDN Learning Area.
Demos the new Android Design library.
🪐 A curated list of awesome Blender add-ons, extensions, AI/MCP tools, tutorials, and 3D resources.
Listing of community-curated resources to find topical remote freelance & contract work for software developers, web designers, and more!
The vip.com's java coding standard, libraries and tools
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
:cloud: A curated list of awesome services, solutions and resources for serverless / nobackend applications.
渗透测试有关的POC、EXP、脚本、提权、小工具等---About penetration-testing python-script poc getshell csrf xss cms php-getshell domainmod-xss csrf-webshell cobub-razor cve rce sql sql-poc poc-exp bypass oa-getshell cve-cms
All course materials for the Zero to Mastery Machine Learning and Data Science course.
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
Awesome apps, software, and SaaS deals on Black Friday.
TranslatedA collection of classic e-books on history, politics, psychology, philosophy, mathematics, and computers (about 100,000 books)
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
Aprende a PROGRAMAR aplicaciones ANDROID en KOTLIN sin conocimientos previos
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Collection of notebooks about quantitative finance, with interactive python code.
Repo to learn Docker with examples. Contributions are most welcome.
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
Algorithms, 4th edition textbook code and libraries
TranslatedDeploy a kubernetes cluster step by step with me
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
TranslatedA summary and organization of the various kinds of knowledge that a natural language processing (NLP) engineer needs to accumulate, including interview questions, all kinds of foundational knowledge, engineering skills, and so on, to improve core competitiveness
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