Real Scene Single Image Dehazing Network with Multi-Prior Guidance and Domain Transfer [IEEE TMM 2025]

Code for "TriGAN-SiaMT: A Triple-Segmentor Adversarial Network with Bounding Box Priors for Semi-Supervised Brain Lesion Segmentation"

Exploring N-dimensional latent spaces generated by neural variational autoencoders

The following study, through which we can generate X-ray images of the chest region in a semi-conditional manner, by taking advantage of the probability distributions.

Semi-supervised implementation of Support Vector Regression (SVR) using a manifold regularizer.

Semi-supervised GAN implemented on MNIST dataset.

Pytorch Implementation of SemiAdv.

Semi-supervised VAE model for protein localization prediction from microscopy images

A lean little learning library, in LUA.

Code for converting a label list in a scikit-like semi-supervised label list.

Master Thesis Official Repository

Sparse Unmixing using Archetypal Analysis

Pytorch reproduction of the experiment in the paper of MixMatch.

This repository serves as a hub for resources, code, and explanations related to COVID-19 detection leveraging active learning. Active learning, a powerful machine learning paradigm, plays a pivotal role in optimizing the labeling process, enhancing model performance, and making the most of limited labeled data.

Simple graphical model for semi-supervised learning

Official PyTorch implementation of "A Class-Aware Semi-Supervised Framework for Semantic Segmentation of High-Resolution Remote Sensing Imagery" (IEEE JSTARS 2025)

A Discord bot that uses machine learning to automatically answer FAQs.

Implementation of paper: Rádli, R., & Czúni, L. (2021). About the Application of Autoencoders for Visual Defect Detection.

semi-supervised deep learning for classification of molecular structures

[Neurocomputing] Realtime Video Object Segmentation with Polar Coordinate Representation