junkunyuan/Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.
This collection helps researchers and practitioners in machine learning who are developing models that need to perform well on new, unseen data. It gathers academic papers, code implementations, and datasets related to 'domain generalization.' The input is a problem where a model trained on one type of data needs to generalize to slightly different data, and the output is a set of resources to build or improve such robust models.
527 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer aiming to build models that are resilient to shifts in data distribution, or if you are looking for state-of-the-art research and code on making models generalize across different environments.
Not ideal if you are looking for a pre-built, ready-to-use software tool or library for a specific application, as this is primarily a curated academic and technical resource.
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Apr 16, 2025
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