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abaqus-conecyl-python

DESICOS is an European Project studying the Knock-Down Factors used in Space Industry for te design of cylindrical and conical structures (rocket science...).

abaqus-periodic-boundary

Generates RVE with periodic boundary conditions

abaqus-simulation

al-demat

Artificial Intelligence Design of Materials

appliedpredictivemodeling

:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/

bigdft-school

Colab notebooks to execute BigDFT school tutorials

causal-inference-in-building-design

Open source code of paper: Introducing causal inference in the energy-efficient building design process

course--data-science-in-energy-efficient-design

Notebook for course: Data Sciences for Energy-Efficient Design 2022 SoSe in Leibniz Universität Hannover

crsu-metainsight

Network meta-analysis (NMA) has been increasingly adopted in evidence-based medicine to compare multiple interventions and address the questions such as ‘which intervention is the ‘best’ overall?’. Currently, NMA is primarily conducted in statistical packages such as WinBUGs, R and STATA, and the software coding can be difficult for non- statisticians and hinders the progress of carrying out systematic reviews containing NMA. MetaInsight is a tool that conducts NMA via the web requiring no specialist software for the user to install but leveraging established analysis routines (specifically the netmeta and gemtc package in R). The tool is interactive and uses an intuitive ‘point and click’ interface and presents results in visually intuitive and appealing ways. It is hoped that this tool will assist those in conducting NMA who are not statistical experts, and, in turn, increase the relevance of published meta-analyses, and in the long term contribute to improved healthcare decision making as a result. 

edss_dep_framework

Integrated framework for EDSS deployment

formalisms

genavi

generation-algorithm-of-pncs

genesurv

geneSurv: an interactive web-based tool for survival analysis in genomics research

gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

gpumd

Graphics Processing Units Molecular Dynamics

hd-mac

HDMAC is a web-based shiny App that provides high-dimension regression analysis for both survival (Cox PH regression) and binary outcomes (logistic regression), including ridge, lasso, adaptive lasso regression analysis. Users can use this App to do high dimensional regression analysis online without downloading or installing any software. In addition, toy examples are provided for convenient use. Although our toy examples are about genomic analysis, the application of this App is not restricted to genomic data. Please cite the following article. Chang, C., et al,. HDMAC: A Web-Based Interactive Program for High-Dimensional Analysis of Molecular Alterations in Cancer. Sci Rep 10, 3953 (2020). https://doi.org/10.1038/s41598-020-60791-z

htpmod-shinyapp

A Shiny Application for Modeling and Visualization of Large-Scale Biological Data

jash-good-idea-20200304-001

耕莘護專 ~ 示範的3D口罩折法(Jash-good-idea-20200304-001)

krsa

lbm-cplusplus-a.a.mohamad

The C++ version code of Lattice Boltzmann Method Fundamentals and Engineering Applications with Computer Codes

lswr_loss_function_pinn

A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics

luox

Code base for the luox platform

mlens

ML-Ensemble – high performance ensemble learning

multiscale-modeling

Multiscale Modeling

nni

An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.

omics-bioanalytics-alexa-skill

Companion Alexa Skill for the Omics BioAnalytics R Shiny web app

performancegap-hybrid-approach

Open source code of paper: A hybrid-model approach for reducing the performance gap in building energy forecasting

perovskite-oxide-stability-prediction

code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite compounds

physiboss

PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks