offsite-tuning vs Transfer-Learning-Library

offsite-tuning

Offsite-Tuning: Transfer Learning without Full Model (by mit-han-lab)

Deep Learning transfer-learning

Source Code

arxiv.org

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Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization (by thuml)

domain-adaptation transfer-learning finetune unsupervised-domain-adaptation image-translation adversarial-learning Deep Learning self-training semi-supervised-learning Dann out-of-distribution-generalization

Source Code

transfer.thuml.ai

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offsite-tuning		Transfer-Learning-Library
	Project
1	Mentions	1
359	Stars	3,144
0.6%	Growth	3.8%
4.8	Activity	6.9
5 months ago	Latest Commit	about 1 month ago
Python	Language	Python
MIT License	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

offsite-tuning

Posts with mentions or reviews of offsite-tuning. We have used some of these posts to build our list of alternatives and similar projects.

[D] Difference between [ Offsite-Tuning: Transfer Learning without Full Model ] and Federated learning?
1 project | /r/MachineLearning | 19 Feb 2023

Found relevant code at https://github.com/mit-han-lab/offsite-tuning + all code implementations here

Transfer-Learning-Library

Posts with mentions or reviews of Transfer-Learning-Library. We have used some of these posts to build our list of alternatives and similar projects.

[R] pytorch library for audio/speech domain adaptation?
1 project | /r/MachineLearning | 1 Mar 2022

Are there any pytorch libraries to do benchmarking of domain adaptation methods for audio/speech tasks? Something like the Transfer Learning Library (https://github.com/thuml/Transfer-Learning-Library/) for images.

What are some alternatives?

When comparing offsite-tuning and Transfer-Learning-Library you can also consider the following projects:

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

TranAD - [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

CEPC - A domain adaptation model

AdaTime - [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

StyleDomain - Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)

pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.

DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.