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The Top 57 Semi Supervised Learning Open Source Projects
Categories
>
Machine Learning
>
Semi Supervised Learning
Cleanlab
⭐
1,822
The standard package for machine learning with noisy labels and finding mislabeled data in Python.
Uda
⭐
1,670
Unsupervised Data Augmentation (UDA)
Mean Teacher
⭐
1,153
A state-of-the-art semi-supervised method for image recognition
Gans In Action
⭐
753
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Awesome Federated Learning
⭐
707
Federated Learning Library: https://fedml.ai
Alibi Detect
⭐
649
Algorithms for outlier and adversarial instance detection, concept drift and metrics.
Semi Supervised Pytorch
⭐
624
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Awesome Semi Supervised Learning
⭐
588
📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Ganomaly
⭐
570
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
See
⭐
549
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Ssgan Tensorflow
⭐
495
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Stn Ocr
⭐
476
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
Imbalanced Semi Self
⭐
407
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Mixmatch Pytorch
⭐
394
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Advsemiseg
⭐
390
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Ssl4mis
⭐
380
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Tape
⭐
305
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Fixmatch Pytorch
⭐
293
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Dassl.pytorch
⭐
282
A PyTorch toolbox for domain adaptation and semi-supervised learning.
Fewshot_gan Unet3d
⭐
278
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
L2c
⭐
268
Learning to Cluster. A deep clustering strategy.
Good Papers
⭐
248
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
Tricks Of Semi Superviseddeepleanring Pytorch
⭐
246
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
Improvedgan Pytorch
⭐
231
Semi-supervised GAN in "Improved Techniques for Training GANs"
Adversarial Autoencoders
⭐
216
Tensorflow implementation of Adversarial Autoencoders
Triple Gan
⭐
204
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Graph Representation Learning
⭐
202
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Graph Adversarial Learning
⭐
195
A curated collection of adversarial attack and defense on graph data.
Vosk
⭐
186
VOSK Speech Recognition Toolkit
Cct
⭐
186
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
Stylealign
⭐
173
[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
Accel Brain Code
⭐
166
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
⭐
161
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Weakly Supervised Panoptic Segmentation
⭐
151
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Adversarial Semisupervised Semantic Segmentation
⭐
147
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Ganbert
⭐
136
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Snowball
⭐
134
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)
Self Supervised Speech Recognition
⭐
123
speech to text with self-supervised learning based on wav2vec 2.0 framework
Mixmatch Pytorch
⭐
119
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
Deepergnn
⭐
116
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Adversarial_text
⭐
109
Code for Adversarial Training Methods for Semi-Supervised Text Classification
Ict
⭐
107
Code for reproducing ICT ( published in IJCAI 2019)
Virtual Adversarial Training
⭐
97
Pytorch implementation of Virtual Adversarial Training
Bible_text_gcn
⭐
93
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
Dtc
⭐
86
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Hypergcn
⭐
84
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Grand
⭐
79
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Deepaffinity
⭐
75
Protein-compound affinity prediction through unified RNN-CNN
Sparsely Grouped Gan
⭐
68
Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Ali Pytorch
⭐
63
PyTorch implementation of Adversarially Learned Inference (BiGAN).
Acgan Pytorch
⭐
59
Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Usss_iccv19
⭐
58
Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
Proda
⭐
56
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Semi Supervised Learning Pytorch
⭐
50
Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch
Social Media Depression Detector
⭐
45
😔 😞 😣 😖 😩 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"
Susi
⭐
43
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Ladder
⭐
37
Implementation of Ladder Network in PyTorch.
1-57 of 57 projects
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📦 78
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📦 113
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📦 80
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📦 28
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📦 32
Command Line Interface
📦 49
Community
📦 83
Companies
📦 60
Compilers
📦 63
Computer Science
📦 80
Configuration Management
📦 42
Content Management
📦 175
Control Flow
📦 213
Data Formats
📦 78
Data Processing
📦 276
Data Storage
📦 135
Economics
📦 64
Frameworks
📦 215
Games
📦 129
Graphics
📦 110
Hardware
📦 152
Integrated Development Environments
📦 49
Learning Resources
📦 166
Legal
📦 29
Libraries
📦 129
Lists Of Projects
📦 22
Machine Learning
📦 347
Mapping
📦 64
Marketing
📦 15
Mathematics
📦 55
Media
📦 239
Messaging
📦 98
Networking
📦 315
Operating Systems
📦 89
Operations
📦 121
Package Managers
📦 55
Programming Languages
📦 245
Runtime Environments
📦 100
Science
📦 42
Security
📦 396
Social Media
📦 27
Software Architecture
📦 72
Software Development
📦 72
Software Performance
📦 58
Software Quality
📦 133
Text Editors
📦 49
Text Processing
📦 136
User Interface
📦 330
User Interface Components
📦 514
Version Control
📦 30
Virtualization
📦 71
Web Browsers
📦 42
Web Servers
📦 26
Web User Interface
📦 210