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alignntl

async-io-cosmoflow

Asynchronous I/O Support for CosmoFlow

b5net

This repository contains the code for performing physics-based data augmentation and model training

brnet

chemixnet

Mixed DNN Architectures for Predicting Properties using Multiple Molecular Representations

coloncanceroutcomecalculator

Colon Cancer Conditional Survival Outcome Calculator

crosspropertytl

Cross-property Deep Transfer Learning

dkacnn

A deep learning based domain knowledge integration for small dataset

ebsd-indexing

Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks.

edsr-tensorflow-rapids

elemnet

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

fusionml

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

fuzzyxrdclustering

Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering

homogenizationdl

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

incrementalxrdclustering

An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations

informalcaregivertweets

Data preprocessing for informal caregiver tweets

irnet

A General Purpose Deep Residual Regression Framework for Materials Discovery.

localizationdl

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

mdgan

Microstructural Materials Design Via Deep Adversarial Learning Methodology

mdn-gan

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

microstructure-optimization-ml

Microstructure optimization of constrained design objectives using machine learning based feedback aware data generation

microstructure-optimization-sampling

Data Sampling Schemes for Galfenol Microstructure Optimization

ml-iter-additive

An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process

mppredictor

multi-resolution-training

Using Multi-Resolution Data to Accelerate Training for CosmoFlow and DeepCAM

opv_extratrees

Machine Learning Framework for Estimating Efficiency of Organic Solar Cells using Extreme Random Forests

opvpredictor

Predictor for Highest Occupied Molecular Orbital (HOMO) Energy for Organic Photovoltaic Donor Molecules

padnet-xrd

Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.

pcnn

Parallel Convolutional Neural Network Framework

ph5concat

Parallel Data Concatenation for High Energy Physics Data Analysis