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The PyTorch 1.6 and Python 3.7 implementation for the paper Semi-Supervised Classification with Graph Convolutional Networks

A PyTorch Implementation of LaplaceNet:A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification

[CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model

This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23).

[AAAI 2024] Official PyTorch Implementation of "Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data"

Pytorch implementation of "SHNN: A Single-Channel EEG Sleep Staging Model Based on Semi-Supervised Learning".

An unofficial PyTorch implementation of MixMatch - A Holistic Approach to Semi-Supervised Learning

Semi-supervised learning tutorial in pytorch (pseudio label, Pi model, mean teacher, FixMatch, UDA)

Implementation of semi-supervised learning using PyTorch Lightning

PyTorch code for the IJCNN'21 paper: "Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer"