GitHub

AutoEncoder vs. UNet: Comparative Analysis

"Investigate the difference between AutoEncoder and UNet. Modify the UNet model in GA8D.py to remove the skip connections. Run the trainer GA8E.py and the generator GA8F.py (with enough modifications, ...
Investopedia

Generative AI: How It Works and Recent Transformative Developments

In seconds, this artificial intelligence technology can produce new content responding to prompts Elysse Bell is a finance and business writer for Investopedia. She writes about small business, ...
GitHub

Awesome Machine Learning for Fluid Mechanics

A curated list of machine learning papers, codes, libraries, and databases applied to fluid mechanics. This list is not comprehensive; if something is missing, please feel free to add it while ...
Europe PMC

scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration.

Single-cell multi-omics data reveal complex cellular states, providing significant insights into cellular dynamics and disease. Yet, integration of multi-omics data presents challenges. Some ...
Frontiers

Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation

Machine learning and artificial intelligence (AI/ML) methods are beginning to have significant impact in chemistry and condensed matter physics. For example, deep learning methods have demonstrated ...
Frontiers

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data

In the area of Big Data, one of the major obstacles for the progress of biomedical research is the existence of data “silos” because legal and ethical constraints often do not allow for sharing ...