kaaiian Goto Github PK

6350_project

aialgorithmswithpacman

bestpractices

Things that you should (and should not) do in your Materials Informatics research.

can_machine_learning_find_extraordinary_materials

Complimentary code for publication "Can machine learning find extraordinary materials?"

cbfv

Tool to quickly create a composition-based feature vector

champs_transformer

transformer network for CHAMPS kaggle competition

crabnet

Predict materials properties using only the composition information!

cs6350-hw2

cs6350-hw4

cs6350-ml-hw2

dataviscourse-pr-visualize_material_informatics

CS 6660 project

ensemble_band_gap_prediction

hhi

houston_ml_in_mse_workshop

Code to help you get started using machine learning in materials science

id3-dt-hw1

kaaiian.github.io

kingcrabnet

A bigger crabnet

learn-citrination

Training materials

ml_figures

Place to store my code for pretty figures :D

mrs_open_data_challenge_submission

submission for MRS open data challenge

mse_datasets

A repository with data for various materials properties. Data and/or references are provided. Scripts for processing the data are provided

mse_machine_learning_workshop

nipype

Workflows and interfaces for neuroimaging packages

ocp

https://opencatalystproject.org/

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

python-citrination-client

Reference implementation in python for Citrination api

python_tutorials

Basics for common tasks encountered in scientific programming

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ucsb_sklearn_workshop

A repository of code and data for the USCB sklearn workshop on February 7th & 8th, 2019

use_roost

A repo that with some changes to Roost for easier scripting.