waternk Goto Github PK
Name: water@nankai
Type: User
Company: Nankai University
Bio: a student n a teacher
Location: Tianjin, China
Name: water@nankai
Type: User
Company: Nankai University
Bio: a student n a teacher
Location: Tianjin, China
Course materials for the 2018 version of the Geo-Python course at the University of Helsinki, Finland
Code and source for the website for CSSS 564: Bayesian Statistics for the Social Sciences (University of Washington, Spring 2018)
Scripts used to process data and namelist used in Chawanda et al. (2019)
A finite element model of the advection diffusion equation
Advanced R: a book
EPA 1341 - Advanced System Dynamics
Examples from Kéry & Royle's "Applied Hierarchical Modeling in Ecology (Volume I)" converted to NIMBLE
🌈 A UI Design Language
👨🏻💻👩🏻💻 Use Ant Design like a Pro!
EPA Release of AQUATOX 3.1 plus
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models
Exploratory analysis of Bayesian models with Python
Active Sequence Predictor for In Vitro Selection
Automation code for basin splitting, HEC-HMS, and HEC-RAS
A curated list of awesome Deep Learning tutorials, projects and communities.
:chart_with_upwards_trend: Curated list of resources to help you get started with Data Science
A curated list of awesome Machine Learning frameworks, libraries and software.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Collection of awesome Python types, stubs, plugins, and tools to work with them.
Get the loads from HSPF modeling
Bayesian Analysis with Python (Second Edition)
BASINS source code development repository. For official releases see EPA:
A tutorial on Bayesian multilevel modeling using R and Stan.
Codes for interfacing with OpenBUGS
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
BDM Code examples from Win/OpenBUGS, Nimble, CARBayes and INLA
A non-parametric Bayesian approach to Hidden Markov Models
Solutions to "A First Course in Bayesian Statistical Methods" Peter D. Hoff
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.