Projects in Awesome Lists tagged with semi-supervised-learning

https://github.com/thuml/transfer-learning-library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

adversarial-learning dann deep-learning domain-adaptation finetune image-translation out-of-distribution-generalization self-training semi-supervised-learning transfer-learning unsupervised-domain-adaptation

Last synced: 11 Dec 2025

https://github.com/thuml/Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

adversarial-learning dann deep-learning domain-adaptation finetune image-translation out-of-distribution-generalization self-training semi-supervised-learning transfer-learning unsupervised-domain-adaptation

Last synced: 01 May 2025

https://github.com/seldonio/alibi-detect

Algorithms for outlier, adversarial and drift detection

adversarial anomaly concept-drift data-drift detection drift-detection images outlier semi-supervised-learning tabular-data text time-series unsupervised-learning

Last synced: 13 May 2025

https://github.com/hilab-git/ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

semi-supervised-learning

Last synced: 11 Apr 2025

https://github.com/SeldonIO/alibi-detect

Algorithms for outlier, adversarial and drift detection

adversarial anomaly concept-drift data-drift detection drift-detection images outlier semi-supervised-learning tabular-data text time-series unsupervised-learning

Last synced: 26 Mar 2025

https://github.com/HiLab-git/SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

semi-supervised-learning

Last synced: 20 Mar 2025

https://github.com/google-research/uda

Unsupervised Data Augmentation (UDA)

computer-vision cv natural-language-processing nlp semi-supervised-learning tensorflow

Last synced: 15 May 2025

https://github.com/yassouali/awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

computer-vision deep-learning generative-model graph-neural-networks machine-learning natural-language-processing semi-supervised-learning

Last synced: 10 Feb 2026

https://github.com/microsoft/semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

audio-classification classification computer-vision deep-learning low-resource machine-learning natural-language-processing pytorch semi-supervised-learning semisupervised-learning transformer

Last synced: 14 May 2025

https://github.com/microsoft/Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

audio-classification classification computer-vision deep-learning low-resource machine-learning natural-language-processing pytorch semi-supervised-learning semisupervised-learning transformer

Last synced: 26 Mar 2025

https://github.com/torchssl/torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

codebase computer-vision deep-learning machine-learning pytorch self-supervised-learning semi-supervised-learning toolkit

Last synced: 05 Oct 2025

https://github.com/kaiyangzhou/dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

artificial-intelligence benchmark-datasets computer-vision deep-learning deep-neural-networks domain-adaptation domain-generalization machine-learning pytorch semi-supervised-learning

Last synced: 16 May 2025

https://github.com/TorchSSL/TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

codebase computer-vision deep-learning machine-learning pytorch self-supervised-learning semi-supervised-learning toolkit

Last synced: 01 May 2025

https://github.com/KaiyangZhou/Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

artificial-intelligence benchmark-datasets computer-vision deep-learning deep-neural-networks domain-adaptation domain-generalization machine-learning pytorch semi-supervised-learning

Last synced: 08 May 2025

https://github.com/open-edge-platform/training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

action-recognition anomaly-detection automl computer-vision datumaro deep-learning hyper-parameter-optimization image-classification image-segmentation incremental-learning machine-learning neural-networks-compression object-detection openvino pytorch quantization self-supervised-learning semi-supervised-learning transfer-learning

Last synced: 14 May 2025

https://github.com/openvinotoolkit/training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

action-recognition anomaly-detection automl computer-vision datumaro deep-learning hyper-parameter-optimization image-classification image-segmentation incremental-learning machine-learning neural-networks-compression object-detection openvino pytorch quantization self-supervised-learning semi-supervised-learning transfer-learning

Last synced: 02 Apr 2025

https://github.com/minqi824/adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 15 May 2025

https://github.com/Minqi824/ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 07 Apr 2025

https://github.com/microsoft/softteacher

Semi-Supervised Learning, Object Detection, ICCV2021

iccv2021 object-detection semi-supervised-learning

Last synced: 16 May 2025

https://github.com/microsoft/SoftTeacher

Semi-Supervised Learning, Object Detection, ICCV2021

iccv2021 object-detection semi-supervised-learning

Last synced: 27 Mar 2025

https://github.com/YyzHarry/imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

class-imbalance imbalanced-classification imbalanced-data imbalanced-learning long-tail long-tailed-recognition neurips neurips-2020 self-supervised-learning semi-supervised-learning unlabeled-data

Last synced: 08 May 2025

https://github.com/wohlert/semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

generative-models pytorch semi-supervised-learning

Last synced: 07 May 2025

https://github.com/songlab-cal/tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

benchmark dataset deep-learning language-modeling protein-sequences protein-structure pytorch semi-supervised-learning

Last synced: 09 Apr 2025

https://github.com/YU1ut/MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

deep-learning pytorch semi-supervised-learning

Last synced: 08 May 2025

https://github.com/Bartzi/see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

chainer cnn computer-vision deep-learning scene-text-recognition semi-supervised-learning

Last synced: 02 Apr 2025

https://github.com/EdisonLeeeee/Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

adversarial-attack awesome defense graph-adversarial-learning graph-data machine-learning resources semi-supervised-learning survey

Last synced: 21 Jul 2025

https://github.com/edisonleeeee/graph-adversarial-learning

A curated collection of adversarial attack and defense on graph data.

adversarial-attack awesome defense graph-adversarial-learning graph-data machine-learning resources semi-supervised-learning survey

Last synced: 04 May 2025

https://github.com/charlesCXK/TorchSemiSeg

[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

cvpr2021 semantic-segmentation semi-supervised-learning semi-supervised-segmentation

Last synced: 02 Apr 2025

https://github.com/hfslyc/AdvSemiSeg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

adversarial-learning computer-vision deep-learning pytorch semantic-segmentation semi-supervised-learning

Last synced: 20 Mar 2025

https://github.com/Bartzi/stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

convolutional-neural-networks deep-learning end-to-end mxnet semi-supervised-learning text-recognition

Last synced: 02 Apr 2025

https://github.com/LiheYoung/UniMatch

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

fixmatch semi-supervised-learning semi-supervised-segmentation

Last synced: 02 Apr 2025

https://github.com/alphacep/vosk

VOSK Speech Recognition Toolkit

lifelong-learning multilingual python semi-supervised-learning speech-recognition speech-to-text voice-recognition

Last synced: 29 Aug 2025

https://github.com/iBelieveCJM/Tricks-of-Semi-supervisedDeepLeanring-Pytorch

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

fixmatch ict meanteacher mixmatch pi pseudo-label pytorch semi-supervised-learning ssl tempens vat

Last synced: 08 May 2025

https://github.com/Haochen-Wang409/U2PL

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

cityscapes computer-vision contrastive-learning cvpr2022 deep-learning mechine-learning pascal-voc pytorch semantic-segmentation semi-supervised-learning

Last synced: 02 Apr 2025

https://github.com/yassouali/cct

:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

computer-vision semantic-segmentation semi-supervised-learning

Last synced: 06 Apr 2025

https://github.com/yassouali/CCT

:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

computer-vision semantic-segmentation semi-supervised-learning

Last synced: 02 Apr 2025

https://github.com/datacanvasio/hypergbm

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 15 May 2025

https://github.com/DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 09 May 2025

https://github.com/accel-brain/accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

auto-encoder automatic-summarization combinatorial-optimization deep-learning deep-q-network deep-reinforcement-learning energy-based-model generative-adversarial-network lstm multi-agent-reinforcement-learning q-learning quantum-annealing quantum-monte-carlo reinforcement-learning restricted-boltzmann-machine self-supervised-learning semi-supervised-learning simulated-annealing transfer-learning

Last synced: 30 Oct 2025

https://github.com/GT-RIPL/L2C

Learning to Cluster. A deep clustering strategy.

artificial-intelligence artificial-neural-networks clustering deep-learning deep-neural-networks loss-functions semi-supervised-learning similarity-metric supervised-learning transfer-learning unsupervised-learning

Last synced: 08 May 2025

https://github.com/gt-ripl/l2c

Learning to Cluster. A deep clustering strategy.

artificial-intelligence artificial-neural-networks clustering deep-learning deep-neural-networks loss-functions semi-supervised-learning similarity-metric supervised-learning transfer-learning unsupervised-learning

Last synced: 09 Apr 2025

https://github.com/hilab-git/dtc

Semi-supervised Medical Image Segmentation through Dual-task Consistency

semi-supervised-learning

Last synced: 09 Apr 2025

https://github.com/adamdad/consistentteacher

[CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection

mmdetection object-detection sample-efficiency semi-supervised-learning semi-supervised-object-detection ssod

Last synced: 24 Jul 2025

https://github.com/sleepychord/improvedgan-pytorch

Semi-supervised GAN in "Improved Techniques for Training GANs"

deep-learning generative-adversarial-network semi-supervised-learning

Last synced: 16 Jan 2026

https://github.com/ChandlerBang/Pro-GNN

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

adversarial-attacks attack-defense deep-learning defense graph-mining graph-neural-networks graph-structure-recovery machine-learning pytorch semi-supervised-learning

Last synced: 21 Jul 2025

https://github.com/chandlerbang/pro-gnn

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

adversarial-attacks attack-defense deep-learning defense graph-mining graph-neural-networks graph-structure-recovery machine-learning pytorch semi-supervised-learning

Last synced: 09 Apr 2025

https://github.com/hoangcuong2011/Good-Papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

computer-vision convolutional-networks deep-kernel-learning deep-learning gaussian-processes kernel-learning machine-learning natural-language-processing neural-machine-translation neural-network representation-learning semi-supervised-learning variational-autoencoders variational-inference

Last synced: 19 Jul 2025

https://github.com/ldkong1205/LaserMix

[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation

autonomous-driving lidar segmentation semi-supervised-learning

Last synced: 20 Mar 2025

https://github.com/wjn1996/hugnlp

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

code-understanding deep-learning few-shot-learning knowledge-enhancement natural-language-processing pre-trained-language-models prompt-based-learning pytorch semi-supervised-learning supervised-learning transformers

Last synced: 09 Apr 2025

https://github.com/nayeemrizve/ups

"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

calibration pseudo-labeling pytorch semi-supervised-learning uncertainty

Last synced: 05 Apr 2025

https://github.com/LiheYoung/ST-PlusPlus

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

cvpr2022 self-training semi-supervised-learning semi-supervised-segmentation

Last synced: 19 Apr 2025

https://github.com/THUDM/GRAND

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

data-augmentation gnn graph-neural-networks graphs neurips-2020 semi-supervised-learning

Last synced: 21 Jul 2025

https://github.com/thudm/grand

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

data-augmentation gnn graph-neural-networks graphs neurips-2020 semi-supervised-learning

Last synced: 10 Apr 2025

https://github.com/ygzwqzd/lamda-ssl

30 Semi-Supervised Learning Algorithms

automl computer-vision deep-learning generative-model gnn graph inductive-learning machine-learning natural-language-processing neural-network python pytorch scikit-learn self-supervised-learning semi-supervised-learning support-vector-machine svm tabular-data toolkit transductive-learning

Last synced: 05 Apr 2025

https://github.com/thesouthfrog/stylealign

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

data-augmentation face-alignment facial-landmarks representation-learning semi-supervised-learning

Last synced: 23 Apr 2025

https://github.com/yyliu01/ps-mt

[CVPR'22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

cvpr2022 semantic-segmentation semi-supervised-learning semi-supervised-segmentation

Last synced: 19 Apr 2025

https://github.com/sidgan/etci-2021-competition-on-flood-detection

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

arxiv-papers deep-learning floods noisy-student pseudo-labeling python pytorch segmentation semi-supervised-learning

Last synced: 21 Aug 2025

https://github.com/rozumden/DeFMO

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

cvpr2021 dataset deblurring deep-learning disentangled-representations fast-moving-objects motion-blur semi-supervised-learning synthetic-dataset-generation temporal-super-resolution

Last synced: 23 Apr 2025

https://github.com/mogeng/iohmm

Input Output Hidden Markov Model (IOHMM) in Python

graphical-models hidden-markov-model linear-models machine-learning python scikit-learn semi-supervised-learning sequence-labeling sequence-to-sequence statsmodels supervised-learning time-series unsupervised-learning

Last synced: 11 Jun 2025

https://github.com/googleinterns/wss

A simple consistency training framework for semi-supervised image semantic segmentation

segmentation semi-supervised-learning

Last synced: 26 Feb 2026

https://github.com/AlvaroCavalcante/auto_annotate

Labeling is boring. Use this tool to speed up your next object detection project!

annotation-tool computer-vision dataset-generation labeling-tool object-detection pattern-recognition python python3 semi-supervised-learning tensorflow weak-supervision

Last synced: 05 Mar 2026

https://github.com/mengliu1998/deepergnn

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

geometric-deep-learning graph-neural-networks node-classification semi-supervised-learning

Last synced: 27 Apr 2025

https://github.com/dvlab-research/context-aware-consistency

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

cvpr2021 semantic-segmentation semi-supervised-learning semi-supervised-segmentation

Last synced: 26 Oct 2025

https://github.com/dvlab-research/Context-Aware-Consistency

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

cvpr2021 semantic-segmentation semi-supervised-learning semi-supervised-segmentation

Last synced: 19 Apr 2025

https://github.com/BBBBchan/CorrMatch

Official code for "CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation"

corrmatch label-propagation semantic-segmentation semi-supervised-learning semi-supervised-segmentation

Last synced: 02 Apr 2025

https://github.com/Shen-Lab/DeepAffinity

Protein-compound affinity prediction through unified RNN-CNN

attention-mechanism drug-discovery interpretable-deep-learning protein semi-supervised-learning

Last synced: 11 May 2025

https://github.com/voldemortX/DST-CBC

Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

cifar cityscapes mixed-precision-training pascal-voc pytorch semantic-segmentation semi-supervised-learning tensorboard

Last synced: 08 May 2025

https://github.com/plkmo/Bible_Text_GCN

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

gcn graph-convolution-network graph-convolutional-networks graph-neural-networks natural-language-processing semi-supervised-learning text-classification

Last synced: 02 Apr 2025

https://github.com/hzhupku/SemiSeg-AEL

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

neurips-2021 semantic-segmentation semi-supervised-learning

Last synced: 19 Apr 2025

https://github.com/salesforce/comatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

contrastive-learning representation-learning self-supervised-learning semi-supervised-learning

Last synced: 15 Apr 2025

https://github.com/salesforce/CoMatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

contrastive-learning representation-learning self-supervised-learning semi-supervised-learning

Last synced: 08 May 2025

https://github.com/t-sakai-kure/pywsl

Python codes for weakly-supervised learning

classification machine-learning positive-unlabeled-learning python semi-supervised-learning unlabeled-data

Last synced: 14 Jan 2026

https://github.com/zhkkke/dualstudent

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

domain-adaptation iccv2019 pytorch-implementation semi-supervised-learning

Last synced: 16 Jul 2025

https://github.com/felixriese/susi

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

data-science machine-learning opensource pypi-package python self-organizing-map semi-supervised-learning som sphinx-doc supervised-learning unsupervised-learning

Last synced: 21 Feb 2026

https://github.com/songlab-cal/tape-neurips2019

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

benchmark dataset deep-learning language-modeling protein-sequences protein-structure semi-supervised-learning

Last synced: 07 May 2025

https://github.com/KentoNishi/Augmentation-for-LNL

[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".

augmentation-policies cifar10 cifar100 clothing1m cvpr cvpr2021 data-augmentation data-augmentation-strategies label-noise label-noise-robustness semi-supervised-learning

Last synced: 08 May 2025

https://github.com/kentonishi/augmentation-for-lnl

[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".

augmentation-policies cifar10 cifar100 clothing1m cvpr cvpr2021 data-augmentation data-augmentation-strategies label-noise label-noise-robustness semi-supervised-learning

Last synced: 16 Mar 2025

https://github.com/ZhenZHAO/AugSeg

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

semi-supervised-learning semi-supervised-segmentation

Last synced: 19 Apr 2025

https://github.com/decile-team/spear

SPEAR: Programmatically label and build training data quickly.

data-efficient-learning data-programming deep-learning labeling-functions machine-learning semi-supervised-learning unsupervised-learning weak-supervision

Last synced: 07 Apr 2026

https://github.com/amazon-science/exponential-moving-average-normalization

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

computer-vision normalization self-supervised-learning semi-supervised-learning

Last synced: 03 May 2025

https://github.com/SHI-Labs/Semi-Supervised-Transfer-Learning

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

computer-vision semi-supervised-learning transfer-learning

Last synced: 08 May 2025

https://github.com/shi-labs/semi-supervised-transfer-learning

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

computer-vision semi-supervised-learning transfer-learning

Last synced: 12 Sep 2025

https://github.com/amazon-science/semimtr-text-recognition

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

computer-vision consistency-regularization contrastive-learning deep-learning ocr pytorch scene-text-recognition self-supervised-learning semi-supervised-learning text-recognition

Last synced: 14 Jun 2025

https://github.com/cgnorthcutt/rankpruning

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

binary-classification denoising learning-with-confident-examples learning-with-errors machine-learning machine-learning-algorithms mislabeling noise-rates noisy-learning rank-pruning-algorithm ranking semi-supervised-learning training

Last synced: 10 Jul 2025

https://github.com/koheiw/seededlda

LDA for semisupervised topic modeling

semi-supervised-learning text-classification

Last synced: 23 Jul 2025

https://github.com/amazon-science/omni-detr

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

object-detection omni-supervised-learning semi-supervised-learning weakly-supervised-learning

Last synced: 09 Oct 2025

https://github.com/KaiyangZhou/ssdg-benchmark

Benchmarks for semi-supervised domain generalization.

deep-learning domain-generalization neural-networks pytorch semi-supervised-learning

Last synced: 08 May 2025

https://github.com/kaiyangzhou/ssdg-benchmark

Benchmarks for semi-supervised domain generalization.

deep-learning domain-generalization neural-networks pytorch semi-supervised-learning

Last synced: 25 Mar 2025

https://github.com/OatmealLiu/class-iNCD

PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)

clustering incremental-learning novel-class-discovery open-world-semi-supervised-learning self-supervised-learning semi-supervised-learning

Last synced: 08 May 2025

https://github.com/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.

annotation-efficient breastpathq camelyon16 deep-learning digital-pathology histopathology self-supervised-learning semi-supervised-learning teacher-student-training

Last synced: 06 May 2025

https://github.com/nazmul-karim170/UNICON

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

contrastive-learning deep-learning deep-neural-networks jensen-shannon-divergence label-noise-robustness machine-learning noisy-labels semi-supervised-learning

Last synced: 05 Apr 2025

https://github.com/xinario/catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

catgan dcgan gan generative-adversarial-network pytorch semi-supervised-learning unsupervised-learning

Last synced: 25 Apr 2025

https://github.com/OpenSUM/CPSUM

Code and Data Repo for COLING'22 paper "Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization"

extractive-summarization nlp semi-supervised-learning

Last synced: 09 May 2025

https://github.com/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).

classification consists machine-learning machine-learning-algorithms prediction python python-3 regression reinforcement-learning scikit-image scikit-learn scikit-learn-api scikit-learn-python scikit-model semi-supervised-learning sklearn supervised-learning unsupervised-learning vector

Last synced: 01 Aug 2025

https://github.com/thuml/debiased-self-training

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

semi-supervised-learning

Last synced: 06 Feb 2026

https://github.com/xierc/Semi_Human_Pose

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

consistency-regularization human-pose-estimation pytorch semi-supervised-learning

Last synced: 20 Jul 2025

https://github.com/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.

few-shot-learning image-classification optimal-transport semi-supervised-learning

Last synced: 17 Jan 2026