"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
📢 Check it out & contribute!
📜 Paper: arxiv.org/abs/2407.11676
💻 Code: github.com/scikit-adapt...
"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
📢 Check it out & contribute!
📜 Paper: arxiv.org/abs/2407.11676
💻 Code: github.com/scikit-adapt...
🔹 Offers guidance on modeling
🔹 Automated reports & key metrics
💡 Built by scikit-learn maintainers. Open-source & ready to use!
Try it 👉 tinyurl.com/bdhszwtn
🔹 Offers guidance on modeling
🔹 Automated reports & key metrics
💡 Built by scikit-learn maintainers. Open-source & ready to use!
Try it 👉 tinyurl.com/bdhszwtn
arxiv.org/abs/2407.03878
Apolline Mellot @sylvchev.bsky.social @agramfort.bsky.social @dngman.bsky.social
A thread: 1/7
arxiv.org/abs/2407.03878
Apolline Mellot @sylvchev.bsky.social @agramfort.bsky.social @dngman.bsky.social
A thread: 1/7
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423