andysanker Goto Github PK

ac-bo-hackathon.github.io

alignit

Calculation of symmetry deviation values between polyhedra with the same number of atoms

andysanker.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

brute-force-pdf-modelling

MetalFinder is a brute-force approach to predict the mono-metallic nanoparticle from a Pair Distribution Function.

carbontracker

Track and predict the energy consumption and carbon footprint of training deep learning models.

clusterfinder

cvae

CVAE is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.

deepstruc

DeepStruc is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.

exp2simgan

Exp2SimGAN is an machine learning model to translate between experimental- and simulated data in Materials Chemistry.

metalfinder

MetalFinder is a tree-based supervised learning algorithm which can predict the mono-metallic nanoparticle from a Pair Distribution Function.

ml-motex

Code for Machine Learning based Motif Extractor. A tool to extract motifs from numerous fits using explainable machine learning.

phase-splitter

Phase-splitter by Joakim Lajer

pomfinder

POMFinder is a tree-based supervised learning algorithm which can predict the polyoxometalate cluster from a Pair Distribution Function.

read-psb-lwt-narwss_rwsas_apps

scattbo

ScattBO Benchmark - Bayesian optimisation for materials discovery