Statistics for topic transfer-learning
RepositoryStats tracks 615,808 Github repositories, of these 320 are tagged with the transfer-learning topic. The most common primary language for repositories using this topic is Python (200). Other languages include: Jupyter Notebook (75)
Stargazers over time for topic transfer-learning
Most starred repositories for topic transfer-learning (view more)
Trending repositories for topic transfer-learning (view more)
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
Workflow for generating synthetic data and training CV models.
[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
[CVIU2023] Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
Workflow for generating synthetic data and training CV models.
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Official PyTorch implementation of DiffuseMix : Label-Preserving Data Augmentation with Diffusion Models (CVPR'2024)
[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos