qianlab Goto Github PK

github_howto

Instruciton of how to use GitHub

icpe-639

This is an introductory course discussing machine learning fundamentals and methods commonly seen in data science with potential applications in energy and power systems. Machine learning methods to be discussed include basic supervised and unsupervised learning methods, performance evaluation, neural networks and other advanced predictive models, as well as an introduction to reinforcement learning.

lbd

matgnn

MatGNN is a GNN pipeline model for materials science discovery

nr_smocu_sgd_gpc

open source code for the paper "Efficient Active Learning for Gaussian Process Classification by Error Reduction"

proom

qianlab.github.io

sde-mocu

soft_mocu

The code for the paper Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty

switchinggp

wmocu_al