ardunn

followers

following

stars

@hackingmaterials, @TRI-AMDD

Truckee, CA

https://ardunn.us

Alex Dunn's repositories

dex

an ultra-minimal productivity system

Language:PythonBSD-2-Clause17 2 57

nikobellicbot

gta iv's niko bellic takes on reddit

Language:Python2 2 4

dsmt

dumb simple (server) monitoring tool

Language:CSSNOASSERTION1 20

matminer_examples

A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code

Language:Jupyter NotebookNOASSERTION1 20

mmai

Using applied statistics to predict the outcomes of mixed martial arts bouts.

Language:PythonNOASSERTION1 2 1

wdash

a dumb simple weather dashboard built from OpenWeatherMaps APi, MongoDB, and Plotly Dash

Language:Python1 2 2

ardunn.github.io

my personal site, live at

Language:HTML01 1

atomate

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

Language:PythonNOASSERTION010

automatminer

An automatic "black-box" yet interpretable engine for predicting materials properties.

Language:PythonNOASSERTION010

beep

Battery evaluation and early prediction

Language:PythonApache-2.0010

cs188

[inactive] alex and breanna's cs188 project

Language:Python020

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (tweaks focused on training faces)

Language:Jupyter NotebookMIT000

fireworks

The Fireworks Workflow Management Repo.

Language:PythonNOASSERTION020

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Language:PythonApache-2.0000

latmats

Latent representations of materials

Language:PythonMIT010

lbnlp

Common NLP (text mining) tools for materials science and chemistry, for groups at Lawrence Berkeley National Lab (LBNL) and beyond.

Language:PythonBSD-2-Clause010

mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

Language:PythonMIT010

matbench

MatBench: Benchmark for materials science property prediction

Language:PythonMIT010

MatBERT_NER

General training framework for NER models on MatBERT

Language:Python010

matcom

study structural communities in materials databases

Language:Python010

matminer

data mining for Materials Science

Language:HTMLNOASSERTION030

matscholar-web

Materials Scholar Website Code

Language:CSSMIT010

modnet

MODNet: a framework for machine learning materials properties

Language:Jupyter NotebookMIT000

MPContribs

Platform for materials scientists to contribute and disseminate their materials data through Materials Project

Language:PythonMIT010

pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

Language:HTMLMIT010

rocketsled

plug-n-play black box optimizer for high-throughput computing

Language:PythonNOASSERTION000

scraps

random bits of text and notes for quick hacking

Language:Python010

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language:PythonLGPL-3.0010

ucbviz2019

A website for the UC Berkeley Graduate Data Visualization Contest 2019

Language:CSSNOASSERTION010

workshop

The Materials Project Workshop Curriculum

Language:Jupyter NotebookBSD-3-Clause010