jhparkland Goto Github PK

age_friendly_city

고령친화 도시 설계를 위한 참고자료 저장소 구축

balance_up

Employment information recommendation based on Life Balance

bayescocl

COCL and Bayesian Network connect

bi_project

carbon-friendly

About The process involves measuring the carbon emissions generated from deep learning training. If a server's training process produces high carbon emissions, we transfer the workload to servers with lower carbon emissions. Ultimately, this method aims to achieve a carbon net-zero state.

cocl

cocl-admin

Carbon Optimized Coures Load Manager System

cocl-app

Dashboard that provides comprehensive information on COCL

cocl-pm

Deep Learning Performance Monitor Development

cocl-pvwatts

Custom pvwattas API based on NREL PVwatts

cocl-scheduling-processes

COCL timetable scheduling using genetic algorithm, etc.

data_analytics_for_age_friendly_busan

Age Friendly World Project

fdia_with_tcn

green-car-charging-station-site-selection

A Study on the Location Analysis of Green Car Charging Station Using Bayesian Network

jhparkland

jhparkland.github.io

datascience-labs.github.io

k-paas

open_gpu_gis

GPU기반 고성능 GIS 도구 프로토타입 설계

test

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

website

daubigdatateam website