Master Thesis Official Repository
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Updated
Oct 21, 2019 - Python
Master Thesis Official Repository
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 VAE model for protein localization prediction from microscopy images
Semi-supervised GAN implemented on MNIST dataset.
Code for converting a label list in a scikit-like semi-supervised label list.
Semi-supervised implementation of Support Vector Regression (SVR) using a manifold regularizer.
Pytorch Implementation of SemiAdv.
A lean little learning library, in LUA.
Implementation of paper: Rádli, R., & Czúni, L. (2021). About the Application of Autoencoders for Visual Defect Detection.
Sparse Unmixing using Archetypal Analysis
Pytorch reproduction of the experiment in the paper of MixMatch.
A Discord bot that uses machine learning to automatically answer FAQs.
Simple graphical model for semi-supervised learning
Implementation codes for various semi-supervised learning methods.
[Neurocomputing] Realtime Video Object Segmentation with Polar Coordinate Representation
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.
semi-supervised deep learning for classification of molecular structures
Python code for the semi-supervised learning method particle competition and cooperation
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