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217 search results found

AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

supervised and semi-supervised image classification with self-supervision (Keras)

Realistic Ssl Evaluation Pytorch ⭐ 38

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Slam Super 6d ⭐ 36

SLAM-Supported Semi-Supervised Learning for 6D Object Pose Estimation

Wavencoder ⭐ 36

WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.

Shapeprop ⭐ 36

Learning Saliency Propagation for Semi-supervised Instance Segmentation

This repository contains the official implementation of Semi-supervised Semantic Segmentation with Error Localization Network that has been accepted to 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).

Catgan_pytorch ⭐ 34

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)

[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation

Shot Vae ⭐ 33

The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"

Reconvat ⭐ 32

ReconVAT: a semi-supervised automatic music transcription (AMT) model

Implementation of Ladder Network in PyTorch.

Ssl_cr_histo ⭐ 32

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.

Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022

Unsupervisedselectivelabeling ⭐ 30

[ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

scDCC: Single Cell Deep Constrained Clustering

Semi Supervised Learning Pytorch ⭐ 28

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

Generative_models ⭐ 27

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

Deepatlas ⭐ 27

Joint Semi-supervised Learning of Image Registration and Segmentation

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

Pi Consistency Activity Detection ⭐ 26

End-to-End Semi-Supervised Learning for Video Action Detection [CVPR 2022]

Gumbel Softmax Vae In Tensorflow ⭐ 26

Semi-Supervised Learning with Categorical VAE (experimented on MNIST)

Semireward ⭐ 26

[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning

Cvpr2021 Ssda ⭐ 25

A pytorch implementation for "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation", which is accepted by CVPR2021.

Semi Supervised Paper Implementation ⭐ 25

Reproduce some methods in semi-supervised papers.

Pyprophet ⭐ 25

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).

Share Parking_availability_prediction Pytorch ⭐ 23

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (ECCV 2022)

Tensorflow Vae ⭐ 23

TF Implementation of Convolutional Variational Autoencoder.

[CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation

Rul Datasets ⭐ 23

A collection of datasets for RUL estimation as Lightning Data Modules.

Ssldpca Il Faultdetection ⭐ 23

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）

[ICCV'21] [Tensorflow] Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

Ssr_bmvc2022 ⭐ 21

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Pseudo Label Keras ⭐ 20

Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras

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 Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Sinkhorn Label Allocation ⭐ 20

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms.

"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)

Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"

Implement of DiGCN, NeurIPS-2020

Hyperspectral Regression ⭐ 18

Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".

Selfsupsurg ⭐ 18

Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"

Co Bionet ⭐ 17

[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation

Semi_human_pose ⭐ 17

[ICCV-2021] An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation

Semi Supervised Nfs ⭐ 17

Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning

Unofficial Pytorch implementation of SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pretraining https://arxiv.org/abs/2106.01342

Pirounet ⭐ 16

Conditional dance generator

[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Learning To Impute ⭐ 16

Learning to Impute: A General Framework for Semi-supervised Learning

[ECCV 2022] Official Pytorch Implementation of the paper : " Semi-Supervised Temporal Action Detection with Proposal-Free Masking "

Gst Visdial ⭐ 15

💬 Official PyTorch Implementation for CVPR'23 "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"

Orgainzed Digital Intelligent Network (O.D.I.N)

[ECCV2022] D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding

Dynamic Cdfsl ⭐ 15

Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".

Fsad Net ⭐ 15

Offical code for 'Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy' [MICCAI 2020]

Shrinkmatch ⭐ 15

[ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation

Multi Level Global Context Cross Consistency ⭐ 14

Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"

Emotion Recognition Gan ⭐ 14

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

[CVPR'22] Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction

IEEE Transactions on Affective Computing, 2022

[ISPRS P&RS 2023] Official implementation for Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange

Temporal Ensembling Semi Supervised ⭐ 13

keras implementation of temporal ensembling(semi-supervised learning)

Shine Emnlp21 ⭐ 13

Codes for SHINE published in EMNLP 2021.

Tensorflow_fixmatch ⭐ 12

[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Semi-Supervised Domain Generalization

Ilm Assl ⭐ 12

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

Self_pretraining ⭐ 12

Self-pretraining code in python. A semi-supervised model for text classification.

Pytorch Consistency Regularization ⭐ 12

PyTorch implementation of consistency regularization methods for semi-supervised learning

Semisupervised Fgsbir ⭐ 11

[CVPR 2021] "More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.

Crossrectify Ssod ⭐ 11

Official code of "CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection" (PR'2023)

Chainer Meanteachers ⭐ 11

Chainer implementation of the paper "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results" (https://arxiv.org/abs/1703.01780)

Featmatch ⭐ 11

PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"

Bi Sampling ⭐ 11

This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille).

PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)

머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트

Semisupervised Learning With Dcgans ⭐ 9

Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data

Duo Segnet ⭐ 9

[MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"

A deep semi-supervised method (UATS) for medical segmentation

Semantic Fusion GAN for semi-supervised image classification

Fine_official ⭐ 8

NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"

Semi-Supervised Hyperspectral Image Classification

Lane Detection ⭐ 8

Weakly-supervised road-lane markings detection for autonomous driving, mitigating the lack of training data

Mixmatch Pytorch Ssl ⭐ 8

An unofficial PyTorch implementation of MixMatch - A Holistic Approach to Semi-Supervised Learning

Shadow semi-supervised consistency regularization PyTorch library

Multi Head Attention Labeller ⭐ 7

Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.

Dplan_pytorch ⭐ 7

This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.

Fixmatch_pytorch ⭐ 7

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Rda4robustssl ⭐ 7

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

Transfer Sgc ⭐ 7

Code for "Exploiting Unsupervised Inputs for Accurate Few-Shot Classification"

Semisupervised Learning And Instance Selection Methods ⭐ 6

TFG - Semisupervised learning and instance selection methods

Magist Algorithm ⭐ 6

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

Tensorflow Cvae ⭐ 6

Implementation of the Conditional Variational Auto-Encoder (CVAE) in Tensorflow

Jointmatch ⭐ 6

[EMNLP 2023] Official Code of "JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification"

Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.

Semi-supervised Learning for Surface EMG-based Gesture Recognition

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