semi-supervised
There are 54 repositories under semi-supervised topic.
ZHKKKe/PixelSSL
A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]
amzn/convolutional-handwriting-gan
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)
yzou2/CRST
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
xuxw98/ESAM
EmbodiedSAM: Online Segment Any 3D Thing in Real Time
microsoft/transductive-vos.pytorch
a transductive approach for video object segmentation
wgcban/SemiCD
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
siat-nlp/GALAXY
Official repository of the AAAI'2022 paper "GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection"
phuijse/bagging_pu
Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
dongjun-Lee/transfer-learning-text-tf
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
yzhao062/XGBOD
Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
perrying/pytorch-consistency-regularization
PyTorch implementation of consistency regularization methods for semi-supervised learning
calico/scnym
Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
ZhengxiangShi/PowerfulPromptFT
[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"
wangxiang1230/SSTAP
Code for our CVPR 2021 Paper "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal".
tim-learn/ATDOC
code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
surya501/loc2vec
Pytorch implementation of the Loc2Vec with some modifications for speed
tsujuifu/pytorch_vsum-ptr-gan
A PyTorch implementation of VSumPtrGAN
yang-ruixin/pytorch-image-models-with-simclr
Multi-label classification based on timm, and add SimCLR to timm.
cdli-gh/Semi-Supervised-NMT-for-Sumerian-English
Exploring the Limits of Low-Resource Neural Machine Translation
google-research/spade_anomaly_detection
Semi-supervised anomaly detection method
ait-aecid/anomaly-detection-log-datasets
Analysis scripts for log data sets used in anomaly detection.
mosamdabhi/MBW
This work generates 2D and 3D landmark labels from videos with only two or three uncalibrated, handheld cameras moving in the wild. NeurIPS 2022.
hhb072/MOSS
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
Prasanna1991/LatentMixing
The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]
rosefun/SemiSupervised
Semi supervised learning framework of Python.
tayebiarasteh/lane-detection
Weakly-supervised road-lane markings detection for autonomous driving, mitigating the lack of training data
zhenyuw16/multi-phase
An official implementation of paper "Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection"
akhilpm/DroneSSOD
Semi-supervised aerial image object detection
ahhaque/ECHO
ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no concept drift detected within this limit, ECHO updates the classifiers and resets the sliding window. Experiment results show that ECHO achieves significant speed up over SAND while maintaining similar accuracy. Please refer to the paper (mentioned in the reference section) for further details.
ahhaque/SAND
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
inria-thoth/HySUPP
An open-source hyperspectral unmixing python package
Labbeti/SSLH
Deep Semi-Supervised Learning with Holistic methods for audio classification.
jlgarridol/sslearn
The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.
li-plus/SSM-VOS
Separable Structure Modeling for Semi-supervised Video Object Segmentation
alvinwan/storm
semi-supervised deep learning for classification of molecular structures
caiocarneloz/pycc
Python code for the semi-supervised learning method particle competition and cooperation