zhaoxin94/awesome-domain-adaptation resource
A collection of AWESOME things about domain adaptation observed · 2026-08-28
Health v2 · maintenance only
57/100
- Activity 56
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3034
- days_rel: n/a
- days_push: 268
- n_releases_24m: 0
Adoption not part of the score
5456 stars · 881 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated awesome-list collecting papers, code, libraries, tutorials, and benchmarks on domain adaptation and related transfer learning paradigms. It organizes research by method family (adversarial, self-training, optimal transport) and application area (segmentation, detection, medical imaging).
Use cases
- find papers on unsupervised domain adaptation
- survey transfer learning research for a literature review
- find code implementations of domain adaptation methods
- research few-shot and zero-shot domain adaptation
- find benchmarks for domain adaptation experiments
- learn about sim-to-real transfer for robotics
When to choose
- starting research on domain adaptation or transfer learning
- looking for a structured reading list of DA papers by category
- searching for open-source implementations of DA methods
When to avoid
- you need a runnable library rather than a paper list
- you need general machine learning resources beyond transfer learning
Facets
learning-resource · maturity active
machine-learning deep-learning machine-learning computer-vision artificial-intelligence awesome-lists cross-platform awesome-list domain-adaptation transfer-learning papers few-shot-learning zero-shot-learning optimal-transport
1 source
- readme: https://github.com/zhaoxin94/awesome-domain-adaptation · fetched 2026-08-28 · f32df01b4d78
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zhaoxin94/awesome-domain-adaptation | main | 57 |
For agents
markdown · JSON · MCP: product_card(name="zhaoxin94/awesome-domain-adaptation")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem