transferlearning
Transfer learning toolkit
Provides a comprehensive resource for transfer learning and domain adaptation techniques in deep learning.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
13k stars
339 watching
4k forks
Language: Python
last commit: 21 days ago
Linked from 1 awesome list
deep-learningdomain-adaptationdomain-adaptiondomain-generalizationfew-shotfew-shot-learninggeneralizationmachine-learningmeta-learningpaperpapersrepresentation-learningself-supervised-learningstyle-transfersurveytheorytransfer-learningtransferlearningtutorial-codeunsupervised-learning
zhaoxin94/awesome-domain-adaptationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 thuml/transfer-learning-library | A comprehensive Python library for adapting models to new environments and tasks through various techniques | 3,432 |
 paddlepaddle/paddle | A high-performance deep learning framework designed for industrial-scale training and deployment of neural networks. | 22,258 |
 floodsung/deep-learning-papers-reading-roadmap | A comprehensive roadmap for learning deep learning by following key papers in the field | 38,327 |
 labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 56,215 |
 dennybritz/deeplearning-papernotes | A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. | 4,410 |
 szagoruyko/attention-transfer | Improves performance of convolutional neural networks by transferring knowledge from teacher models to student models using attention mechanisms. | 1,444 |
| paddlepaddle/paddlegan | A comprehensive library for building and training generative adversarial networks (GANs) and other deep learning models. | 7,902 |
 wenkehuang/rethinkfl | Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains | 91 |
 google-research/big_transfer | Pre-trained models and code for fine-tuning image recognition tasks using deep learning frameworks | 1,513 |
 dair-ai/ml-papers-explained | An explanation of key concepts and advancements in the field of Machine Learning | 7,315 |
 yandexdataschool/nlp_course | A comprehensive Natural Language Processing course with interactive lectures, seminars, and homework assignments. | 9,811 |
 microsoft/ml-for-beginners | A structured learning platform providing a comprehensive curriculum for beginners in machine learning and related data science topics | 69,811 |
 alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,351 |
 yunjey/domain-transfer-network | Generates images from one domain into another without paired data using a neural network model | 862 |
 husainzafar/transferlearningtutorial | Applying transfer learning to retrain Inception model on custom dataset | 93 |