Trending repositories for topic semi-supervised-learning
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
An awesome paper list of Semi-Supervised Learning under realistic settings.
This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".
:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
A contrastive learning based semi-supervised segmentation network for medical image segmentation
An awesome paper list of Semi-Supervised Learning under realistic settings.
This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
A state-of-the-art semi-supervised method for image recognition
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
A contrastive learning based semi-supervised segmentation network for medical image segmentation
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".
A summary of recent semi-supervised semantic segmentation methods
A comprehesive survey about foundation models for weather and cliamte data understanding.
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
A contrastive learning based semi-supervised segmentation network for medical image segmentation
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)
[NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
A collection of datasets for RUL estimation as Lightning Data Modules.
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）
A summary of recent semi-supervised semantic segmentation methods
A comprehesive survey about foundation models for weather and cliamte data understanding.
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversar...
An awesome paper list of Semi-Supervised Learning under realistic settings.
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Protein-compound affinity prediction through unified RNN-CNN
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A comprehesive survey about foundation models for weather and cliamte data understanding.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
A summary of recent semi-supervised semantic segmentation methods
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Official code for "CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation"
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A contrastive learning based semi-supervised segmentation network for medical image segmentation
BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"
A comprehesive survey about foundation models for weather and cliamte data understanding.
This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)
[ECCV'24] Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
Official code for "CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation"
A summary of recent semi-supervised semantic segmentation methods
PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
A collection of datasets for RUL estimation as Lightning Data Modules.
Code release for CVPR 2024 paper LEOD: Label-Efficient Object Detection for Event Cameras
An awesome paper list of Semi-Supervised Learning under realistic settings.
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem
Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"
Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"