Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Generic code-authoring standards for dev agents: correctness over convenience, no fail-open branches, comment rules, over-engineering limits, prove-your-guards. Load before writing or modifying code.

A Benchmark for Evaluating Generalization for Robotic Manipulation

Overview about state-of-art imitation learning techniques for robotic manipulation, enabling generalization across diverse tasks and environments.

Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production.