Pinned Repositories
alignn
Atomistic Line Graph Neural Network
gaussianfield
python implementation of Gaussian field classifier
mcpm
mcpm: python implementation of the modified Potts model for grain growth developed in Mason, J. K., et al. "Kinetics and anisotropy of the Monte Carlo model of grain growth." Acta Materialia 82 (2015): 155-166.
ntsne
A simple numpy wrapper for the reference implementation of Barnes-Hut t-SNE
pixelnet
tensorflow implementation of pixelnet (http://arxiv.org/abs/1702.06506)
pymisori
Quaternion method for crystallographic misorientation calculation in python (C++ with cython!)
spparks-demo
A tutorial on getting started using SPPARKS for microstructural science.
uhcs
image feature extraction code for http://arxiv.org/abs/1702.01117
uhcs-segment
Ultrahigh carbon steel segmentation CNN (doi:10.1017/S1431927618015635, arxiv.org/abs/1805.08693)
uhcsdb
Microstructure data visualization flask app: http://uhcsdb.materials.cmu.edu
bdecost's Repositories
bdecost/mcpm
mcpm: python implementation of the modified Potts model for grain growth developed in Mason, J. K., et al. "Kinetics and anisotropy of the Monte Carlo model of grain growth." Acta Materialia 82 (2015): 155-166.
bdecost/uhcs-segment
Ultrahigh carbon steel segmentation CNN (doi:10.1017/S1431927618015635, arxiv.org/abs/1805.08693)
bdecost/uhcs
image feature extraction code for http://arxiv.org/abs/1702.01117
bdecost/uhcsdb
Microstructure data visualization flask app: http://uhcsdb.materials.cmu.edu
bdecost/spparks-demo
A tutorial on getting started using SPPARKS for microstructural science.
bdecost/gaussianfield
python implementation of Gaussian field classifier
bdecost/ntsne
A simple numpy wrapper for the reference implementation of Barnes-Hut t-SNE
bdecost/pymisori
Quaternion method for crystallographic misorientation calculation in python (C++ with cython!)
bdecost/pixelnet
tensorflow implementation of pixelnet (http://arxiv.org/abs/1702.06506)
bdecost/alignn
Atomistic Line Graph Neural Network
bdecost/bdecost.github.io
personal page
bdecost/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
bdecost/jarvis
JARVIS-Tools: an open-source software package for data-driven atomistic materials design
bdecost/moment
bdecost/moment-test1
a test repo for https://github.com/blaiszik/moment
bdecost/paper-ml-robustness-material-property
bdecost/swcarpentry