Top 110 semi-supervised-learning open source projects

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

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

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

Tensorflow implementation of Adversarial Autoencoders

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

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

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

VOSK Speech Recognition Toolkit

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

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

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.

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

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

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

Unsupervised Data Augmentation (UDA)

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

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

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

Code for Adversarial Training Methods for Semi-Supervised Text Classification

Code for reproducing ICT ( published in IJCAI 2019)

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

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

Pytorch implementation of Virtual Adversarial Training

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

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

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"

Protein-compound affinity prediction through unified RNN-CNN

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

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

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

😔 😞 😣 😖 😩 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: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Implementation of Ladder Network in PyTorch.

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

Federated Learning Library: https://fedml.ai

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

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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

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

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

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

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

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

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

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

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

Learning to Cluster. A deep clustering strategy.

A full pipeline AutoML tool for tabular data

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

Implement of DiGCN, NeurIPS-2020

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

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

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.