semi-supervised-learning | Topic

Topic: "semi-supervised-learning"

ferretj/temporal-ensembling

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning

Language: Python - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 106 - Forks: 25

SHI-Labs/Semi-Supervised-Transfer-Learning

[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 104 - Forks: 15

amazon-science/exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Language: Python - Size: 71.3 KB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 103 - Forks: 13

RabbitBoss/Awesome-Realistic-Semi-Supervised-Learning

An awesome paper list of Semi-Supervised Learning under realistic settings.

Language: Shell - Size: 30.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 100 - Forks: 11

emadeldeen24/CA-TCC

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Language: Python - Size: 453 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 99 - Forks: 28

tim-learn/SHOT-plus

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Language: Python - Size: 2.96 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 93 - Forks: 21

shangeth/wavencoder

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

Language: Python - Size: 5.21 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 90 - Forks: 14

crockwell/partial_humans

[ECCV 2020] Full-Body Awareness from Partial Observations

Language: Python - Size: 3.76 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 90 - Forks: 5

xiangjjj/implicit_alignment

Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"

Language: Python - Size: 1.91 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 88 - Forks: 9

kamenbliznashki/generative_models

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

Language: Python - Size: 5.35 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 86 - Forks: 16

amazon-science/semimtr-text-recognition

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Language: Python - Size: 1.23 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 82 - Forks: 12

cgnorthcutt/rankpruning

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 82 - Forks: 14

leaderj1001/Billion-scale-semi-supervised-learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Language: Python - Size: 170 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 82 - Forks: 22

f90/AdversarialAudioSeparation

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Language: Python - Size: 1.54 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 82 - Forks: 15

perrying/realistic-ssl-evaluation-pytorch

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

Language: Python - Size: 59.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 79 - Forks: 20

NJUyued/PRG4SSL-MNAR

"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)

Language: Python - Size: 6.92 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 78 - Forks: 1

9310gaurav/ali-pytorch

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Language: Python - Size: 12.3 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 78 - Forks: 11

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

Language: Python - Size: 6.22 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 77 - Forks: 15

koheiw/seededlda

LDA for semisupervised topic modeling

Language: R - Size: 157 MB - Last synced at: 4 days ago - Pushed at: 4 months ago - Stars: 76 - Forks: 15

Audio-WestlakeU/ATST-SED

This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 76 - Forks: 11

crux82/ganbert-pytorch

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

Language: Jupyter Notebook - Size: 108 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 76 - Forks: 14

nejlag/Semi-Supervised-Learning-GAN

Semi-supervised Learning GAN

Language: Jupyter Notebook - Size: 3.56 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 76 - Forks: 29

NJUyued/MutexMatch4SSL

"MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization" by Yue Duan (TNNLS)

Language: Python - Size: 80.1 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 73 - Forks: 0

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: about 1 month ago - Pushed at: over 1 year ago - Stars: 73 - Forks: 18

zhangqianhui/Sparsely-Grouped-GAN

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Language: Python - Size: 2.74 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 72 - Forks: 14

perrying/pytorch-consistency-regularization

PyTorch implementation of consistency regularization methods for semi-supervised learning

Language: Python - Size: 77.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 70 - Forks: 13

kimhc6028/acgan-pytorch

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Language: Python - Size: 5.67 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 70 - Forks: 11

tarun005/USSS_ICCV19

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Language: Python - Size: 62.5 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 69 - Forks: 10

520xyxyzq/slam-super-6d

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

Language: Python - Size: 521 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 68 - Forks: 6

KaiyangZhou/ssdg-benchmark

Benchmarks for semi-supervised domain generalization.

Language: Python - Size: 43 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 68 - Forks: 10

Westlake-AI/SemiReward

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

Language: Python - Size: 1.13 MB - Last synced at: about 8 hours ago - Pushed at: 11 months ago - Stars: 66 - Forks: 2

amazon-science/omni-detr

PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089

Language: Python - Size: 210 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 66 - Forks: 6

ucbdrive/ShapeProp

Learning Saliency Propagation for Semi-supervised Instance Segmentation

Language: Python - Size: 1.7 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 66 - Forks: 14

xmed-lab/GenericSSL

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

Language: Python - Size: 2.36 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 65 - Forks: 3

halolimat/Social-media-Depression-Detector

:pensive: :disappointed: :persevere: :confounded: :weary: Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 65 - Forks: 34

CVxTz/graph_classification

Learning from graph data using Keras

Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 64 - Forks: 23

youngkyunJang/GPQ

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Language: Python - Size: 4.12 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 63 - Forks: 11

srinidhiPY/SSL_CR_Histo

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

Language: Python - Size: 8.69 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 62 - Forks: 21

masabdi/LSPS

Source code for "3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space"

Language: Python - Size: 42 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 62 - Forks: 17

nazmul-karim170/UNICON

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

Language: Python - Size: 886 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 61 - Forks: 15

LiteSSLHub/DisCo

This is the public repository of EMNLP 2023 paper "DisCo: Co-training Distilled Student Models for Semi-supervised Text Mining"

Language: Python - Size: 69.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 61 - Forks: 0

xinario/catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Language: Python - Size: 6.23 MB - Last synced at: 19 days ago - Pushed at: over 7 years ago - Stars: 61 - Forks: 17

zijian-hu/SimPLE

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

Language: Python - Size: 591 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 58 - Forks: 3

amazon-science/semi-vit

PyTorch implementation of Semi-supervised Vision Transformers

Language: Python - Size: 66.4 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 10

wangfin/SSLDPCA-IL-FaultDetection

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）

Language: Python - Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 58 - Forks: 8

OpenSUM/CPSUM

[COLING 2022] Code and Data Repo for Paper "Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization"

Language: Python - Size: 16.6 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 57 - Forks: 2

XinshaoAmosWang/ProSelfLC-AT

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Language: HTML - Size: 10.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 57 - Forks: 2

malllabiisc/ConfGCN

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

Language: Python - Size: 10 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 57 - Forks: 16

xierc/Semi_Human_Pose

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

Language: Python - Size: 2.26 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 56 - Forks: 6

cuishuhao/HDA

codes for Heuristic Domain Adaptation (NeurIPS2020)

Language: Python - Size: 6.28 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 56 - Forks: 9

ytaek-oh/daso

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

Language: Python - Size: 141 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 55 - Forks: 7

reddyprasade/Machine-Learning-with-Scikit-Learn-Python-3.x

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 problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

Language: Jupyter Notebook - Size: 72.8 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 55 - Forks: 25

stanford-futuredata/sinkhorn-label-allocation

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Language: Python - Size: 140 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 53 - Forks: 3

tensorfreitas/Temporal-Ensembling-for-Semi-Supervised-Learning

Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution

Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 53 - Forks: 11

Luffy03/CISC-R

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

Language: Python - Size: 3.75 MB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 52 - Forks: 10

TonyLianLong/UnsupervisedSelectiveLabeling

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

Language: Python - Size: 218 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 51 - Forks: 5

ziatdinovmax/pyroVED

Invariant representation learning from imaging and spectral data

Language: Python - Size: 112 MB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 11

GT-RIPL/FeatMatch

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

Language: Python - Size: 135 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 50 - Forks: 11

microsoft/metric-transfer.pytorch

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Language: Jupyter Notebook - Size: 845 KB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 49 - Forks: 18

moskomule/ssl-suite

SSL using PyTorch

Language: Python - Size: 48.8 KB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 49 - Forks: 4

VICO-UoE/MTPSL

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

Language: Python - Size: 604 KB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 48 - Forks: 1

tilman151/rul-datasets

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

Language: Python - Size: 1.13 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 47 - Forks: 2

yanbeic/semi-memory

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 47 - Forks: 4

valencebond/FixMatch_pytorch

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

Language: Python - Size: 33.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 45 - Forks: 9

sayakpaul/PAWS-TF

Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 14 days ago - Pushed at: almost 4 years ago - Stars: 45 - Forks: 4

iantangc/ContrastiveLearningHAR

Contrastive Learning (SimCLR) for Human Activity Recognition

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 45 - Forks: 13

abhiskk/ladder

Implementation of Ladder Network in PyTorch.

Language: Python - Size: 70.3 KB - Last synced at: 4 days ago - Pushed at: over 7 years ago - Stars: 45 - Forks: 15

jiequancui/DKL

Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)

Language: Python - Size: 14.8 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 44 - Forks: 4

xmed-lab/CLD-Semi

MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Language: Python - Size: 28.3 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 44 - Forks: 2

tuanio/noisy-student-training-asr

Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem

Language: Python - Size: 3.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 44 - Forks: 7

thuml/Debiased-Self-Training

Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)

Size: 541 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 44 - Forks: 3

vuptran/sesemi

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

Language: Python - Size: 3.48 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 43 - Forks: 9

QizhiPei/SSM-DTA

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

Language: Python - Size: 1.13 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 42 - Forks: 6

uncbiag/DeepAtlas

Joint Semi-supervised Learning of Image Registration and Segmentation

Language: Python - Size: 73.2 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 42 - Forks: 7

ttgump/scDCC

scDCC: Single Cell Deep Constrained Clustering

Language: Python - Size: 194 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 41 - Forks: 5

ChunjingXiao/CsiGAN

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.

Language: Python - Size: 524 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 41 - Forks: 20

ChenHongruixuan/I3PE

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

Language: Python - Size: 4.35 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 40 - Forks: 0

ayaanzhaque/EC-GAN

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Language: Jupyter Notebook - Size: 5.52 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 6

zhulf0804/GCN.PyTorch

Graph Convolutional Networks for Text Classification.

Language: Python - Size: 8.29 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 40 - Forks: 3

moucheng2017/EM-BPL-Semi-Seg

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

Language: Python - Size: 4.25 MB - Last synced at: about 17 hours ago - Pushed at: about 2 months ago - Stars: 39 - Forks: 1

kinux98/SSL_ELN 📦

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).

Language: Python - Size: 1.14 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 5