lilianyou Goto Github PK
Name: Lily Cheng
Type: User
Company: Massachusetts General Hospital/Harvard Medical School
Bio: A psychology, geography, and neuroscience researcher.
Location: Cambridge, MA
Name: Lily Cheng
Type: User
Company: Massachusetts General Hospital/Harvard Medical School
Bio: A psychology, geography, and neuroscience researcher.
Location: Cambridge, MA
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.
a test repository
Facilitates DICOM data access.
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.
Distance Analysis
analysis on bitcoin, altcoin, etc.
Basic MRI image processing and high-level task-related MRI data analyses using MATLAB
This is a collection of the information for 2020 WAIDATATHON teamwork
A list of exercises in analytical methods for geography research, including linear algebra, spatial modeling, and time-series analyses.
Past GIS Coursework & Research Work
demo training for sea hero quest
R code for latent class analysis
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
handy packages for data exploration and statistical tests by Lily
Codes to extract different types of events based on behavioral master file
Data analyses code for Hand MRT Task
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.
Materials for NH2020
Different project code related to text mining (e.g., topic modeling)
Search Strategy analysis and more for spatial navigation data in rodents
The HTML Presentation Framework - Neuromorphic Machine Intelligence Lab Template
Sea hero quest analyses
quick introduction to Shiny
My teaching slides and exercises in modeling with Spark R.
This is a brief high-level tutorial for the tidymodels package
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.