Python domain-adaptation

Open-source Python projects categorized as domain-adaptation
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Topics: Deep Learning Pytorch transfer-learning Machine Learning unsupervised-domain-adaptation
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Top 17 Python domain-adaptation Projects

  • transferlearning

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

  • Transfer-Learning-Library

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • StyleGAN-nada

  • bonito

    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

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

  • gpl

    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.

  • pytorch-adapt

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

  • WorkOS

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  • Meta-SelfLearning

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

  • AdaTime

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

  • multi-domain-imbalance

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

  • pytorch-DANN

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

  • IAST-ECCV2020

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

  • DA-RetinaNet

    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

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

  • hierarchical-domain-adaptation

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

  • StyleDomain

    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

    A domain adaptation model

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python domain-adaptation related posts

Index

What are some of the best open-source domain-adaptation projects in Python? This list will help you:

Project Stars
1 transferlearning 12,841
2 Transfer-Learning-Library 3,144
3 StyleGAN-nada 1,141
4 bonito 470
5 pykale 427
6 gpl 308
7 pytorch-adapt 302
8 Meta-SelfLearning 196
9 AdaTime 145
10 multi-domain-imbalance 113
11 pytorch-DANN 97
12 IAST-ECCV2020 84
13 DA-RetinaNet 59
14 DA-Faster-RCNN 47
15 hierarchical-domain-adaptation 32
16 StyleDomain 23
17 CEPC 6

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