LilianYou

Latent_Class_Analyses

R code for latent class analysis

CARLsim4

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

dark-lily

a test repository

Environmental_Data_Science_and_Statistics

Technical skills to approach and answer environmental questions using quantitative and qualitative data, including data wrangling, exploratory data analysis, descriptive statistics, uncertainty, hypothesis testing, data visualization and communication.

Famous_People_Rating

Distance Analysis

Geography_Analytics

A list of exercises in analytical methods for geography research, including linear algebra, spatial modeling, and time-series analyses.

Maze_Learning_Behavior

Codes to extract different types of events based on behavioral master file

Maze_Learning_Neural_Analysis

Sea_Hero_Quest

Sea hero quest analyses

dicom_parser

Facilitates DICOM data access.

dl_tutor

FinTech

analysis on bitcoin, altcoin, etc.

fMRI_Data_Analyses

Basic MRI image processing and high-level task-related MRI data analyses using MATLAB

Food_Categorization

This is a collection of the information for 2020 WAIDATATHON teamwork

GIS

Past GIS Coursework & Research Work

individual_path

demo training for sea hero quest

LilianYou.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

LMCPackage

handy packages for data exploration and statistical tests by Lily

lubridate_examples

Mental_Rotation_of_Hands

Data analyses code for Hand MRT Task

MLINDIV

Maze Learning - Individual Differences (MLINDIV) is an expansive project that employs neuroimaging, behavioral testing, and computational methods to tease out individual differences in spatial navigation. More specifically, this project uses MRI data obtained from nearly 100 subjects before, during, and after their participation in a maze navigation experiment to explore neurological and behavioral differences in memory, learning, decision making, and other cognitive processes. This repository is meant to hold the most up to date scripts necessary for each subproject tied to MLINDIV.

nh2020-curriculum

Materials for NH2020

NLP

Different project code related to text mining (e.g., topic modeling)

Pathfinder

Search Strategy analysis and more for spatial navigation data in rodents

reveal.js

The HTML Presentation Framework - Neuromorphic Machine Intelligence Lab Template

shiny-demo

quick introduction to Shiny

Spark_R_modeling

My teaching slides and exercises in modeling with Spark R.

TensorFlow-Course

tidymodels-tutorial

This is a brief high-level tutorial for the tidymodels package