There are 4 repositories under semisupervised-learning topic.
OpenMMLab Detection Toolbox and Benchmark
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Code for reproducing results in GraphMix paper
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .
TFG - Semisupervised learning and instance selection methods
Code for L2ID CVPRW 2021 paper Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics
The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.
Implementation of semi and self supervised learning on Imbalanced Dataset
Codebase accompanying the paper "Efficient Co-Regularised Least Squares Regression".
Exercises from IT3030 V20
A sparsified AutoEncoder to solve Semi-Supervised classification tasks
Code implementation of our paper "Exploring Domain-specific Contrastive Learning with Consistency Regularization for Semi-supervised Medical Image Segmentation "
PyTorch implementation of Bayesian Graph Convolutional Networks using Neighborhood Random Walk Sampling to supplement my Honors Thesis.
Exploring optimization methods like Gradient Descent and BCGD in semi-supervised learning for rice seeds classification
Semisupervised classification methods (SSC) with Spark-ML, study and implementation
Auto Semi-supervised Outlier Detection for Malicious Authentication Events
Advanced Scheduling Algorithm for Managing Pseudo Labels in Semi-Supervised Learning
Face Recognition Algorithm using Unsupervised and Semi-supervised techniques
Dissertação de Mestrado apresentada ao Programa de Pós-Graduação em Informática - PPGI da Universidade Federal do Espírito Santo - UFES
Master's Thesis Project Demo
This is one of my micro project that aims to prepare image dataset from a video input and annotates it automatically.
This repository features detailed explanations of each topic along with a project on each topic of Machine learning.
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
Unofficial Pytorch Implementation of 'FixMatch- Simplifying Semi-Supervised Learning with Consistency and Confidence'