thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
When you have a well-performing AI model trained on specific data (like images from one type of camera) but need it to work equally well on similar data from a different source (like another camera type or dataset), this library helps bridge that gap. It takes your existing model and new, slightly different data, and adapts the model so it performs robustly across both. This is ideal for AI researchers and machine learning engineers dealing with real-world data variability.
3,884 stars. No commits in the last 6 months.
Use this if your AI model's performance drops when applied to data that is similar but not identical to its training data, and you want to adapt it without retraining from scratch.
Not ideal if you are looking for a no-code solution or a tool for general machine learning tasks that don't involve adapting models across different data domains.
Stars
3,884
Forks
591
Language
Python
License
MIT
Category
Last pushed
May 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/thuml/Transfer-Learning-Library"
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,...
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
google-deepmind/distribution_shift_framework
This repository contains the code of the distribution shift framework presented in A...