A complete, hands-on Python course built as Jupyter notebooks. Every concept has a detailed explanation, runnable examples, exam corner questions, "hidden facts & pro tricks", and practice problems ...
Build your first AI agent in Python with the OpenAI Agents SDK, adding web search, Python tools, conversation memory, and tracing in a simple end-to-end workflow. Learn seven design patterns for data ...
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...
In October 2026, Wadi and Ghassen decided to stop talking about learning AI engineering and actually do it, together. We set ourselves a 40-week path, from Python foundations all the way to shipping ...
Swarm robotics relies on robots with minimal sensing and computation that achieve self-organization at the level of the collective to address a variety of tasks. Yet, swarm robotics still struggles ...
Genie Code responses improve dramatically with specific prompts and clear context. Be explicit about what you want, reference tables and notebook cells with @, attach images when text is insufficient, ...
Advances in kinematic modeling and data-driven motion representation for biological and artificial systems ...
本内容遵循CC 4.0 BY-SA版权协议 简介：这份资源是面向深度学习与时间序列预测学习者的Informer模型Python实战案例包，适合已具备一定PyTorch基础、希望深入掌握长序列预测技术的开发者与研究人员。
本内容遵循CC 4.0 BY-SA版权协议 本文深入解析VGG网络的设计哲学，重点阐述3x3卷积堆叠在感受野、非线性表达和内存效率上的优势；详述PyTorch中VGG-16的从零实现、训练优化（学习率调度、混合 ...
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