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Tess Smidt's Projects

2015-siggraph-convolutional-ot icon 2015-siggraph-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

architect icon architect

Architect is a Jekyll theme for GitHub Pages

atomate icon atomate

atomate is a powerful software for computational materials science and contains pre-built workflows.

catsoop icon catsoop

CAT-SOOP is an Automatic Tutor for Six-Oh-One Problems

cayman icon cayman

Cayman is a Jekyll theme for GitHub Pages

clusterscripts icon clusterscripts

shell, python, and fortran scripts that I use on nersc and lbl clusters

cosmicray icon cosmicray

cosmic ray chandeliers -- mixed medium science art installation at MIT (2011)

crystaltoolkit icon crystaltoolkit

Crystal Toolkit is an interactive web app that allows you to import, view, analyze and transform crystal structures and molecules. It is also a suite of ready-made UI components to render Materials Project data using the Dash framework from Plotly.

docs icon docs

Materials Project Documentation

e3nn icon e3nn

A modular framework for neural networks with Euclidean symmetry

e3nn_symm_breaking icon e3nn_symm_breaking

Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"

e3nn_tutorial icon e3nn_tutorial

repository and website for tutorials on 3d Euclidean equivariant neural networks

flask_table icon flask_table

Because writing HTML is fiddly and all of your tables are basically the same

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

icml18-jtnn icon icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

indigo icon indigo

Universal cheminformatics libraries, utilities and database search tools

larflow icon larflow

LArFlow: predicting pixel correspondence between planes using CNNs

lie_learn icon lie_learn

Computations involving Lie groups and harmonic analysis

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