zyz293

GAN-MDN

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

FusionML

Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset

GAN_Materials_Design

GAN_Materials_Discovery

Microstructural Materials Design Via Deep Adversarial Learning Methodology

Deep-learning-domain-knowledge-integration

A deep learning based domain knowledge integration for small dataset

Deep_learning_homogenization-1

A Deep Learning Model For Homogenization of Two-Phase High-Contrast Three-dimensional Materials

Java_script_COMSOL

Algorithm_NU

Artifitial_Intelligence

cucis

Data_Structure

Database-

Database_NU

Deep_learning_homogenization

Deep_learning_localization

A Deep Learning Model For Localization of Two-Phase High-Contrast Three-dimensional Materials

Descriptor_ANN

mathematical_ANN

ML_495

EECS495_machine_learning

plasticity-DL

Learning to Predict Crystal Plasticity at the Nanoscale:Deep Residual Networks and Size Effects in UniaxialCompression Discrete Dislocation Simulations

PSED2

PSED2

Recipe

Statistical_Methods_for_Data_Mining

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tensorflow

Computation using data flow graphs for scalable machine learning