扩散模型(Diffusion Models)和流匹配(Flow Matching)是用于生成高质量、连贯性强的高分辨率数据（如图像和机器人轨迹）的先进技术。在图像生成领域，扩散模型的代表性应用是Stable Diffusion，该技术已成功迁移至机器人学领域，形成了所谓的"扩散策略"(Diffusion Policy)。

On the second day of Facebook's "F8" conference at the San Jose convention center, the company announced an updated version of its PyTorch development framework, Version 1.1, with a raft of new ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...