kzkadc/regression-tta
The official implementation of "Test-time Adaptation for Regression by Subspace Alignment" (ICLR 2025).
This project helps improve the accuracy of existing prediction models when applying them to new, slightly different datasets. It takes your pre-trained regression model and unlabeled data from the new environment, then adjusts the model to perform better on this new data without needing new labels. This is ideal for machine learning engineers, data scientists, or researchers who deploy models in dynamic real-world settings.
No commits in the last 6 months.
Use this if your regression model's performance drops when deployed to a new environment with unlabeled data that differs slightly from your training data.
Not ideal if your existing model is for classification tasks, as this method is specifically designed for regression models.
Stars
15
Forks
4
Language
Python
License
—
Category
Last pushed
Jun 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kzkadc/regression-tta"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
corenel/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers,...
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.