GitHub topics: semi-supervised

Repositories

xuxw98/ESAM

[ICLR 2025, Oral] EmbodiedSAM: Online Segment Any 3D Thing in Real Time

Language: Python - Size: 77.9 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 546 - Forks: 27

isbrycee/SemiT-SAM

[MICCAI 2024 workshop] Official implementation of "SemiT-SAM: Building a Visual Foundation Model for Tooth Instance Segmentation on Panoramic Radiographs"

Language: Python - Size: 11.4 MB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 11 - Forks: 1

google-research/spade_anomaly_detection

Semi-supervised anomaly detection method

Language: Python - Size: 7.39 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 45 - Forks: 4

richardRadli/autoencoders_for_visual_defect_detection

Implementation of paper: Rádli, R., & Czúni, L. (2021). About the Application of Autoencoders for Visual Defect Detection.

Language: Python - Size: 3.51 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 3 - Forks: 1

ait-aecid/rootkit-detection-ebpf-time-trace

Detection of rootkit file hiding activities through analysis of shifts in kernel function execution times.

Language: Python - Size: 118 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 3

jlgarridol/sslearn

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

Language: Python - Size: 1.89 MB - Last synced at: 1 day ago - Pushed at: 14 days ago - Stars: 9 - Forks: 3

syzlhh/DNMGDT Fork of NianWang-HJJGCDX/DNMGDT

Real Scene Single Image Dehazing Network with Multi-Prior Guidance and Domain Transfer [IEEE TMM 2025]

Language: Python - Size: 8.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

calico/scnym

Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

Language: Python - Size: 4.76 MB - Last synced at: 15 days ago - Pushed at: 7 months ago - Stars: 75 - Forks: 13

yang-ruixin/pytorch-image-models-with-simclr

Multi-label classification based on timm, and add SimCLR to timm.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 6

ShiZhengyan/PowerfulPromptFT

[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"

Language: Python - Size: 34.2 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 74 - Forks: 18

amzn/convolutional-handwriting-gan

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Language: Python - Size: 854 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 272 - Forks: 55

wgcban/SemiCD

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

Language: Python - Size: 2.3 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 134 - Forks: 19

tim-learn/ATDOC

code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"

Language: Python - Size: 66.4 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 58 - Forks: 9

ait-aecid/anomaly-detection-log-datasets

Analysis scripts for log data sets used in anomaly detection.

Language: Python - Size: 108 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 63 - Forks: 7

rosefun/SemiSupervised

Semi supervised learning framework of Python.

Language: Python - Size: 320 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 5

li-plus/SSM-VOS

Separable Structure Modeling for Semi-supervised Video Object Segmentation

Language: Python - Size: 98.6 KB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

yzhao062/XGBOD

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Language: Python - Size: 12.6 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 82 - Forks: 17

alvinwan/storm

semi-supervised deep learning for classification of molecular structures

Language: Python - Size: 478 KB - Last synced at: 2 months ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 0

ZHKKKe/PixelSSL

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

Language: Python - Size: 314 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 290 - Forks: 30

phuijse/bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

Language: Jupyter Notebook - Size: 416 KB - Last synced at: 4 months ago - Pushed at: over 8 years ago - Stars: 91 - Forks: 20

yzou2/CRST

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Language: Python - Size: 228 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 237 - Forks: 29

cdli-gh/Semi-Supervised-NMT-for-Sumerian-English

Exploring the Limits of Low-Resource Neural Machine Translation

Language: Jupyter Notebook - Size: 156 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 10

caiocarneloz/pycc

Python code for the semi-supervised learning method particle competition and cooperation

Language: Python - Size: 33.2 KB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

Labbeti/SSLH

Deep Semi-Supervised Learning with Holistic methods for audio classification.

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 10 - Forks: 1

tayebiarasteh/lane-detection

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

Language: Python - Size: 234 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 14 - Forks: 1

ChinHuan/semi-supervised-svr

Semi-supervised implementation of Support Vector Regression (SVR) using a manifold regularizer.

Language: C++ - Size: 7.98 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

microsoft/transductive-vos.pytorch

a transductive approach for video object segmentation

Language: Python - Size: 434 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 155 - Forks: 29

JosieHong/SiamPolar

[Neurocomputing] Realtime Video Object Segmentation with Polar Coordinate Representation

Language: Python - Size: 112 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

surya501/loc2vec

Pytorch implementation of the Loc2Vec with some modifications for speed

Language: Python - Size: 175 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 51 - Forks: 12

inria-thoth/HySUPP

An open-source hyperspectral unmixing python package

Language: Python - Size: 37.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

ahhaque/SAND

SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

Language: Java - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 5

hhb072/MOSS

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

Language: Python - Size: 4.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2

Hackathorn/LS_Workshop

Exploring N-dimensional latent spaces generated by neural variational autoencoders

Language: C# - Size: 632 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

akhilpm/DroneSSOD

Semi-supervised aerial image object detection

Language: Python - Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

Vargha-Kh/Covid-19-detection Fork of pooya-mohammadi/Covid-19-detection

This repository serves as a hub for resources, code, and explanations related to COVID-19 detection leveraging active learning. Active learning, a powerful machine learning paradigm, plays a pivotal role in optimizing the labeling process, enhancing model performance, and making the most of limited labeled data.

Language: Python - Size: 29.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

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.

Language: Java - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 4