A simple method to perform semi-supervised learning with limited data.

mixup: Beyond Empirical Risk Minimization

[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

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

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Unsupervised Data Augmentation (UDA)

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

SimMatch: Semi-supervised Learning with Similarity Matching

A system for quickly generating training data with weak supervision

Official PyTorch implementation of "CASS: Class-wise Adaptive Strategy for Semi Supervised Semantic Segmentation", IEEE Access 2024

Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)