GitHub

Poisson Variational Autoencoder Modeling Count Data with Python.md

The Poisson Variational Autoencoder (PVAE) is a type of variational autoencoder specifically designed for modeling count data, such as word frequencies or event counts. It addresses the limitations of ...
GitHub

ti2ni1m/Image-Generation-with-Conditional-Variational-Autoencoder-C-VAE-and-Conditional-GAN-C-GAN-

In this project, I aim to create a set of images of Kuzushiji Japanese characters via the Kuzushiji-49 dataset using 2 graphical models which are Conditional-Variational Autoencoder(C-VAE), and ...
Frontiers

Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines

Existing studies indicate that dysregulation or abnormal expression of small nucleolar RNA (snoRNA) is closely associated with various diseases, including lung cancer. Furthermore, these diseases ...
IEEE

A Sentiment-Controllable Music Generation System Based on Conditional Variational Autoencoder

Abstract: Intelligent music generation is a significant application of artificial intelligence. To better achieve the function of video background music generation, finer-grained control is necessary ...
IEEE

A Sample Synthesis Method for Railway Track Circuit Fault Diagnosis Based on Variational Autoencoder and Improved SMOTEENN

Abstract: Accurately identifying fault modes in track circuits is crucial for ensuring the safe and reliable operation of the equipment. However, in practical diagnostic processes, there is often an ...