The Top 325 Semi Supervised Learning Open Source Projects on Github

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The Top 325 Semi Supervised Learning Open Source Projects on Github

Categories > Machine Learning > Semi Supervised Learning

Cleanlab ⭐ 2,433

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Unsupervised Data Augmentation (UDA)

Awesome Federated Learning ⭐ 1,055

Federated Learning Library: https://fedml.ai

Mean Teacher ⭐ 1,021

A state-of-the-art semi-supervised method for image recognition

Alibi Detect ⭐ 977

Algorithms for outlier, adversarial and drift detection

Awesome Semi Supervised Learning ⭐ 885

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

Ssl4mis ⭐ 655

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

Hypergbm ⭐ 613

A full pipeline AutoML tool for tabular data

Gans In Action ⭐ 585

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Ganomaly ⭐ 583

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Semi Supervised Pytorch ⭐ 554

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

Softteacher ⭐ 509

Semi-Supervised Learning, Object Detection, ICCV2021

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

Ssgan Tensorflow ⭐ 500

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Torchssl ⭐ 461

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

Mixmatch Pytorch ⭐ 452

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

Stn Ocr ⭐ 450

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

Dassl.pytorch ⭐ 442

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

Imbalanced Semi Self ⭐ 393

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

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

Fixmatch Pytorch ⭐ 335

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

Advsemiseg ⭐ 307

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Graph Adversarial Learning ⭐ 250

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

Fewshot_gan Unet3d ⭐ 239

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Good Papers ⭐ 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

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

Adversarial Autoencoders ⭐ 227

Tensorflow implementation of Adversarial Autoencoders

Learning to Cluster. A deep clustering strategy.

VOSK Speech Recognition Toolkit

Self Supervised Speech Recognition ⭐ 210

speech to text with self-supervised learning based on wav2vec 2.0 framework

Triple Gan ⭐ 199

Triple-GAN: a unified framework for classification and class-conditional generation in semi-supervised learing

Accel Brain Code ⭐ 198

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.

Deep Sad Pytorch ⭐ 193

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Stylealign ⭐ 173

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

Graph Representation Learning ⭐ 168

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Torchsemiseg ⭐ 164

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

Weakly Supervised Panoptic Segmentation ⭐ 152

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

Adversarial Semisupervised Semantic Segmentation ⭐ 148

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Improvedgan Pytorch ⭐ 141

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

Snowball ⭐ 131

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

Ganbert ⭐ 127

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Deepergnn ⭐ 118

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

Tape Neurips2019 ⭐ 115

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

Pro Gnn ⭐ 113

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

Mixmatch Pytorch ⭐ 106

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

Semi-supervised Medical Image Segmentation through Dual-task Consistency

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

Anomaly Detection ⭐ 99

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

Tricks Of Semi Superviseddeepleanring Pytorch ⭐ 98

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

Input Output Hidden Markov Model (IOHMM) in Python

Adversarial_text ⭐ 94

Code for Adversarial Training Methods for Semi-Supervised Text Classification

Python codes for weakly-supervised learning

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

Info Hcvae ⭐ 89

[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

Code for reproducing ICT ( published in IJCAI 2019)

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

Augmentation For Lnl ⭐ 81

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

Deepaffinity ⭐ 80

Protein-compound affinity prediction through unified RNN-CNN

Str Fewer Labels ⭐ 78

Scene Text Recognition (STR) methods trained with fewer real labels.

Dsmil Wsi ⭐ 74

DSMIL: Multiple instance learning networks for tumor detection in Whole Slide Image

Virtual Adversarial Training ⭐ 72

Pytorch implementation of Virtual Adversarial Training

Implicit_alignment ⭐ 70

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

Sparsely Grouped Gan ⭐ 69

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

Rankpruning ⭐ 69

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

Dualstudent ⭐ 68

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

Semi Supervised Transfer Learning ⭐ 65

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

Deviation Network ⭐ 64

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

"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)

Adversarialaudioseparation ⭐ 59

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

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

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

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

Temporal Ensembling ⭐ 54

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning

Bible_text_gcn ⭐ 53

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

Acgan Pytorch ⭐ 53

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Semi Supervised Learning Gan ⭐ 52

Semi-supervised Learning GAN

Graph_classification ⭐ 52

Learning from graph data using Keras

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

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast".

Hypergcn ⭐ 48

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

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

Semi Memory ⭐ 46

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

codes for Heuristic Domain Adaptation (NeurIPS2020)

Ssl Suite ⭐ 43

SSL using PyTorch

Context Aware Consistency ⭐ 42

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

Temporal Ensembling For Semi Supervised Learning ⭐ 42

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

Exponential Moving Average Normalization ⭐ 41

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

Etci 2021 Competition On Flood Detection ⭐ 41

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

Ali Pytorch ⭐ 41

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Billion Scale Semi Supervised Learning ⭐ 39

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

Usss_iccv19 ⭐ 39

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

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

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

Realistic Ssl Evaluation Pytorch ⭐ 38

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

Ssdg Benchmark ⭐ 37

Benchmarks for semi-supervised domain generalization.

Shapeprop ⭐ 36

Learning Saliency Propagation for Semi-supervised Instance Segmentation

Wavencoder ⭐ 36

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

Catgan_pytorch ⭐ 34

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Proselflc 2021 ⭐ 33

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

1-100 of 325 projects

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Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

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