There are 51 repositories under semi-supervised-learning topic.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Unsupervised Data Augmentation (UDA)
Algorithms for outlier, adversarial and drift detection
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
😎 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 Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A contrastive learning based semi-supervised segmentation network for medical image segmentation
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Semi-Supervised Learning, Object Detection, ICCV2021
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
A curated collection of adversarial attack and defense on graph data.
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 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
speech to text with self-supervised learning based on wav2vec 2.0 framework
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.