ziyan1996
PhD student working on Machine Learning applications in materials science, advised by Jakoah Brgoch
ziyan1996's Stars
materialsvirtuallab/maml
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
materialsvirtuallab/mlearn
Benchmark Suite for Machine Learning Interatomic Potentials for Materials
whitead/numerical_stats
Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python
asmanouira/CrystalGAN
Learning to Discover Crystallographic Structures with Generative Adversarial Networks
hackingmaterials/automatminer
An automatic engine for predicting materials properties.
hackingmaterials/matminer
Data mining for materials science
materialsvirtuallab/megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
sungyongs/graph-based-nn
Graph Convolutional Networks (GCNs)
jundongl/scikit-feature
open-source feature selection repository in python
NU-CUCIS/ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
mcgrady20150318/BayesianNeuralNetwork
a repo sharing Bayesian Neural Network recent papers
materialsvirtuallab/matgenb
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.