Top 22 domain-adaptation Open-Source Projects

• transferlearning

  1 12,867 7.8 Python

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

• awesome-domain-adaptation

  1 4,890 6.0

  A collection of AWESOME things about domian adaptation

• InfluxDB

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• Transfer-Learning-Library

  1 3,144 6.9 Python

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  

• StyleGAN-nada

  14 1,141 0.0 Python

• bonito

  1 482 7.2 Python

  A lightweight library for generating synthetic instruction tuning datasets for your data without GPT. (by BatsResearch)

  

Project mention: FLaNK AI for 11 March 2024 | dev.to | 2024-03-11

• pykale

  2 427 9.1 Python

  Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

  

• pytorch-adapt

  3 323 0.0 Python

  Domain adaptation made easy. Fully featured, modular, and customizable.

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• gpl

  1 308 0.0 Python

  Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577 (by UKPLab)

  

Project mention: Best pathway for Domain Adaptation with Sentence Transformers? | /r/LanguageTechnology | 2023-04-26

3) Domain-adapted my bi-encoder using GPL (https://github.com/UKPLab/gpl) and my original corpus from step 1.

• Meta-SelfLearning

  1 197 0.0 Python

  Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

• AdaTime

  2 147 6.6 Python

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

• multi-domain-imbalance

  1 117 0.0 Python

  [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

• awesome-artificial-intelligence-research

  1 112 0.0

  A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

• pytorch-DANN

  1 99 3.7 Python

  PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)

• IAST-ECCV2020

  1 84 1.8 Python

  IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

• climategan

  1 67 10.0 Jupyter Notebook

  Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.

  

• DA-RetinaNet

  2 59 6.1 Python

  Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

  

• DA-Faster-RCNN

  1 47 5.4 Python

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

• hierarchical-domain-adaptation

  1 32 3.0 Python

  Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

• StyleDomain

  1 23 6.4 Python

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

  

Project mention: [Research] Exciting New Paper on StyleGAN Domain Adaptation: StyleDomain - ICCV 2023 | /r/MachineLearning | 2023-09-30

Abstract: Domain adaptation of GANs is a problem of fine-tuning GAN models pretrained on a large dataset (e.g., StyleGAN) to a specific domain with few samples (e.g., painting faces, sketches, etc.). While there are many methods that tackle this problem in different ways, there are still many important questions that remain unanswered. In this paper, we provide a systematic and in-depth analysis of the domain adaptation problem of GANs, focusing on the StyleGAN model. We perform a detailed exploration of the most important parts of StyleGAN that are responsible for adapting the generator to a new domain depending on the similarity between the source and target domains. As a result of this study, we propose new efficient and lightweight parameterizations of StyleGAN for domain adaptation. Particularly, we show that there exist directions in StyleSpace (StyleDomain directions) that are sufficient for adapting to similar domains. For dissimilar domains, we propose Affine+ and AffineLight+ parameterizations that allow us to outperform existing baselines in few-shot adaptation while having significantly fewer training parameters. Finally, we examine StyleDomain directions and discover their many surprising properties that we apply for domain mixing and cross-domain image morphing. Source code can be found at GitHub.

• CEPC

  2 6 4.1 Python

  A domain adaptation model

• illness-dataset

  1 3 0.0

  A dataset for evaluating text classification, domain adaptation, and active learning models

• condo-adapter

  2 3 3.7 Jupyter Notebook

  Confounded Domain Adapter

• SaaSHub

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domain-adaptation related posts

• PyTorch-adapt re-purposes existing ML models to work in new domains

  1 project | news.ycombinator.com | 30 Nov 2022

• Artists Tomorrow

  3 projects | /r/StableDiffusion | 19 Nov 2022

• [R] A benchmarking framework for time-series unsupervised domain adaptation

  2 projects | /r/MachineLearning | 6 Apr 2022

• Great thread on the importance of EDA and confounder adjustment prior to differential expression analysis (RNA-seq)

  1 project | /r/bioinformatics | 12 Apr 2022

• Code + Data for Paper (AAAI 2022): Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers

  1 project | /r/LanguageTechnology | 19 Mar 2022

• Domain adaptation text recognition/OCR dataset (MSDA) and benchmark: Multi-source domain adaptation dataset for text recognition

  1 project | /r/u_Mammoth_Grade_6875 | 27 Sep 2021

• Matching images – boost your Data Augmentation pipeline

  1 project | news.ycombinator.com | 22 Dec 2020
• A note from our sponsor - InfluxDB
  www.influxdata.com | 1 May 2024

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