CUCIS Group
Software developed by members of CUCIS group at Northwestern University
Northwestern University
Pinned Repositories
ALIGNNTL
BRNet
CheMixNet
Mixed DNN Architectures for Predicting Properties using Multiple Molecular Representations
CrossPropertyTL
Cross-property Deep Transfer Learning
EBSD-indexing
Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks.
ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
IRNet
A General Purpose Deep Residual Regression Framework for Materials Discovery.
MDN-GAN
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
ml-iter-additive
An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process
PADNet-XRD
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.
CUCIS Group's Repositories
NU-CUCIS/ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
NU-CUCIS/ml-iter-additive
An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process
NU-CUCIS/ALIGNNTL
NU-CUCIS/CrossPropertyTL
Cross-property Deep Transfer Learning
NU-CUCIS/IRNet
A General Purpose Deep Residual Regression Framework for Materials Discovery.
NU-CUCIS/MDN-GAN
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
NU-CUCIS/PADNet-XRD
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.
NU-CUCIS/BRNet
NU-CUCIS/MDGAN
Microstructural Materials Design Via Deep Adversarial Learning Methodology
NU-CUCIS/ph5concat
Parallel Data Concatenation for High Energy Physics Data Analysis
NU-CUCIS/PlasticityDL
Learning to Predict Crystal Plasticity at the Nanoscale:Deep Residual Networks and Size Effects in UniaxialCompression Discrete Dislocation Simulations
NU-CUCIS/ColonCancerOutcomeCalculator
Colon Cancer Conditional Survival Outcome Calculator
NU-CUCIS/FusionML
Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset
NU-CUCIS/FuzzyXRDClustering
Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering
NU-CUCIS/IncrementalXRDClustering
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
NU-CUCIS/MPpredictor
NU-CUCIS/Multi-resolution-Training
Using Multi-Resolution Data to Accelerate Training for CosmoFlow and DeepCAM
NU-CUCIS/async-io-cosmoflow
Asynchronous I/O Support for CosmoFlow
NU-CUCIS/B5Net
This repository contains the code for performing physics-based data augmentation and model training
NU-CUCIS/DKACNN
A deep learning based domain knowledge integration for small dataset
NU-CUCIS/Docker_Demo
NU-CUCIS/edsr-tensorflow-rapids
NU-CUCIS/HomogenizationDL
A Deep Learning Model For Homogenization of Two-Phase High-Contrast Three-dimensional Materials
NU-CUCIS/LocalizationDL
A Deep Learning Model For Localization of Two-Phase High-Contrast Three-dimensional Materials
NU-CUCIS/MicroProcSim
a physics-based simulation tool to replicate the deformation process of cubic microstructures for different OS.
NU-CUCIS/pcnn
Parallel Convolutional Neural Network Framework
NU-CUCIS/PreActivationRL
NU-CUCIS/PrunedSearch
A machine learning based meta-heuristic approach for constrained continuous optimization
NU-CUCIS/WRF
The official repository for the Weather Research and Forecasting (WRF) model
NU-CUCIS/WRF_IO