Popular GitHub Repositories for Semi Supervised Learning

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

Algorithms for outlier, adversarial and drift detection

Unsupervised Data Augmentation (UDA)

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

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

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

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

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

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

Semi-Supervised Learning, Object Detection, ICCV2021

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

VOSK Speech Recognition Toolkit

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

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

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

Learning to Cluster. A deep clustering strategy.

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