KevinMusgrave/pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable.
This tool helps machine learning engineers and researchers adapt existing models to perform well on new, related datasets without needing to retrain from scratch. You provide your pre-trained model and data from a new 'target' domain, and it outputs an adapted model ready for use. It's designed for practitioners who work with machine learning models and need to deploy them in varied environments or with evolving data.
394 stars. No commits in the last 6 months. Available on PyPI.
Use this if you have a machine learning model that works well on one type of data but performs poorly on a new, similar type of data, and you want to quickly improve its performance without extensive new labeling or model development.
Not ideal if you are a non-technical user looking for a no-code solution, or if your 'new' data is completely different from your original training data, requiring a fresh model build.
Stars
394
Forks
19
Language
Python
License
MIT
Category
Last pushed
Jan 30, 2023
Commits (30d)
0
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KevinMusgrave/pytorch-adapt"
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.