awesome-domain-adaptation
Transfer-Learning-Library
| awesome-domain-adaptation | Transfer-Learning-Library | |
|---|---|---|
| 1 | 1 | |
| 4,905 | 3,165 | |
| - | 2.6% | |
| 6.0 | 6.9 | |
| about 1 month ago | about 2 months ago | |
| Python | ||
| MIT License | MIT License |
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.
awesome-domain-adaptation
-
Segmentation on synthetic images does not generalize on experimental data.
This is a typical problem of domain adaptation. You can look up papers related to it here: https://github.com/zhaoxin94/awesome-domain-adaptation
Transfer-Learning-Library
-
[R] pytorch library for audio/speech domain adaptation?
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?
salient-extract - Salient feature extractor based on yoloV8
TranAD - [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
Composite-Image-Generator - Semi-sythetic data generator using the "copy - paste" method.
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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