Trending repositories for topic transfer-learning
《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
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
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)
A collection of AWESOME things about domian adaptation
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support ...
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoenco...
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
This repository is for the transfer learning or domain adaptive with fault diagnosis.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
This repository is for the transfer learning or domain adaptive with fault diagnosis.
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support ...
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
《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
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoenco...
A collection of AWESOME things about domian adaptation
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
《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
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Collection of awesome test-time (domain/batch/instance) adaptation methods
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A collection of AWESOME things about domian adaptation
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
A transfer learning fault diagnosis repository covering popular algorithms
This repository is for the transfer learning or domain adaptive with fault diagnosis.
A library for transfer learning by reusing parts of TensorFlow models.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support ...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
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.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
A transfer learning fault diagnosis repository covering popular algorithms
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
This repository is for the transfer learning or domain adaptive with fault diagnosis.
[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
Collection of awesome test-time (domain/batch/instance) adaptation methods
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
[CVIU2023] Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
《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
Collection of awesome test-time (domain/batch/instance) adaptation methods
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A collection of AWESOME things about domian adaptation
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoenco...
A transfer learning fault diagnosis repository covering popular algorithms
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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.
[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and gr...
[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
A few shot learning repository for bearing fault diagnosis.
Workflow for generating synthetic data and training CV models.
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
A transfer learning fault diagnosis repository covering popular algorithms
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
[CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Collection of awesome test-time (domain/batch/instance) adaptation methods
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation all...
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
ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and gr...
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
[CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition
《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
Collection of awesome test-time (domain/batch/instance) adaptation methods
A collection of AWESOME things about domian adaptation
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Collection of awesome parameter-efficient fine-tuning resources.
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support ...
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoenco...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
MLMD: a programming-free AI platform to predict and design materials
This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of...
Code for training and inferring acoustic wave propagation in 3D
Collection of awesome parameter-efficient fine-tuning resources.
A few shot learning repository for bearing fault diagnosis.
Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
A transfer learning fault diagnosis repository covering popular algorithms
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).
Workflow for generating synthetic data and training CV models.
This repository includes all computer vision, audio, document AI, and multimodal projects.
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
Collection of awesome test-time (domain/batch/instance) adaptation methods
Paper List of Pre-trained Foundation Recommender Models
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation all...