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Search results for semi supervised learning
semi-supervised-learning
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300 search results found
Transfer Learning Library
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2,883
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Alibi Detect
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2,010
Algorithms for outlier, adversarial and drift detection
Uda
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1,782
Unsupervised Data Augmentation (UDA)
Ssl4mis
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1,595
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Awesome Semi Supervised Learning
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1,573
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Awesome Federated Learning
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1,481
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Torchssl
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1,260
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Training_extensions
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1,119
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Semi Supervised Learning
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1,069
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Mean Teacher
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1,021
A state-of-the-art semi-supervised method for image recognition
Min_max_similarity
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949
A contrastive learning based semi-supervised segmentation network for medical image segmentation
Gans In Action
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929
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Ganomaly
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767
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Softteacher
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749
Semi-Supervised Learning, Object Detection, ICCV2021
Dassl.pytorch
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681
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Fixmatch Pytorch
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623
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Adbench
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609
Official Implement of "ADBench: Anomaly Detection Benchmark".
Mixmatch Pytorch
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594
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Semi Supervised Pytorch
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554
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Openmixup
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538
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Graph Adversarial Learning
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519
A curated collection of adversarial attack and defense on graph data.
Ssgan Tensorflow
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511
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
See
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506
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Stn Ocr
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450
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
Torchsemiseg
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423
[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Imbalanced Semi Self
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393
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Tape
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348
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Cct
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331
📄 Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
Advsemiseg
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307
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Hypergbm
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306
A full pipeline AutoML tool for tabular data
U2pl
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289
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Accel Brain Code
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289
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 proces
Vosk
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287
VOSK Speech Recognition Toolkit
Deep Sad Pytorch
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268
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Dtc
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256
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Proda
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254
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Fewshot_gan Unet3d
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239
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Lasermix
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238
[CVPR'23 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
Hugnlp
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237
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
Good Papers
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231
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
Adversarial Autoencoders
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227
Tensorflow implementation of Adversarial Autoencoders
L2c
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225
Learning to Cluster. A deep clustering strategy.
Dsmil Wsi
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224
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Self Supervised Speech Recognition
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210
speech to text with self-supervised learning based on wav2vec 2.0 framework
Triple Gan
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199
Triple-GAN: a unified framework for classification and class-conditional generation in semi-supervised learing
Grand
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196
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Ups
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188
"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)
Stylealign
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182
[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
Snowball
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171
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)
Graph Representation Learning
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168
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Str Fewer Labels
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166
Scene Text Recognition (STR) methods trained with fewer real labels (CVPR 2021)
Unimatch
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164
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
St Plusplus
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159
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Weakly Supervised Panoptic Segmentation
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152
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Adversarial Semisupervised Semantic Segmentation
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151
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Ps Mt
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151
[CVPR'22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Improvedgan Pytorch
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141
Semi-supervised GAN in "Improved Techniques for Training GANs"
Iohmm
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140
Input Output Hidden Markov Model (IOHMM) in Python
Deepergnn
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138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Auto_annotate
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134
Labeling is boring. Use this tool to speed up your next object detection project!
Lamda Ssl
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130
30 Semi-Supervised Learning Algorithms
Ganbert
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127
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Info Hcvae
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124
[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
Bible_text_gcn
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123
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
Ict
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122
Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
Defmo
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119
[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Consistentteacher
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117
[CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
Tape Neurips2019
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115
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
Co Learning Learning From Noisy Labels With Self Supervision
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107
The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
Dst Cbc
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106
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Mixmatch Pytorch
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106
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
Cross Speaker Emotion Transfer
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104
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Spear
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102
SPEAR: Programmatically label and build training data quickly.
Anomaly Detection
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99
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
Tricks Of Semi Superviseddeepleanring Pytorch
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98
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
Adversarial_text
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94
Code for Adversarial Training Methods for Semi-Supervised Text Classification
Susi
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91
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Pywsl
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91
Python codes for weakly-supervised learning
Augmentation For Lnl
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89
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
Semiseg Ael
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87
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
Etci 2021 Competition On Flood Detection
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86
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
Deepaffinity
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80
Protein-compound affinity prediction through unified RNN-CNN
Rankpruning
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79
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Reco
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78
The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
Exponential Moving Average Normalization
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76
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
Sparsely Grouped Gan
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74
Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Shot Plus
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73
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Virtual Adversarial Training
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72
Pytorch implementation of Virtual Adversarial Training
Prg4ssl Mnar
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72
"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)
Dualstudent
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68
Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' (ICCV 2019)
Augseg
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68
[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Semimtr Text Recognition
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68
Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)
Semi Supervised Transfer Learning
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65
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Deviation Network
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64
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
Seededlda
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62
LDA for semisupervised topic modeling
Disco
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61
This is the public repository of EMNLP 2023 paper "DisCo: Co-training Distilled Student Models for Semi-supervised Text Mining"
Ssod
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61
An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".
Mutexmatch4ssl
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60
"MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization" by Yue Duan (TNNLS)
Heterogeneoushmm
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60
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.
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