Designing Novel Machine Learning Frameworks
Wef develops machine learning frameworks, simulation tools, and datasets for materials discovery and AI applications.
Our work spans graph neural networks for atomic simulation, a C++ deep learning library, and generative models for image and video processing. We also provide HSE06 datasets for machine learning and materials research, with a public preview and the full dataset available upon request.
Founded in 2024 by Gideon Kassa, Wef brings together materials science and machine learning.
Contact Wef
For dataset access, custom model development, or research inquiries, contact info@wefsolutions.com.