stappit Goto Github PK
Name: Brian
Type: User
Name: Brian
Type: User
Solutions to Wasserman's 'All of Statistics'.
Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.
Bayesian Data Analysis course at Aalto
Some scripts to scrape and clean berlin marathon data.
Presentation for the Berlin Bayesians introduction to map_rect
I often post solutions to textbook exercises, including: Bayesian Data Analysis (BDA) by Gelman et al; Causal Inference in Statistics Primer (CISP) by Pearl et al; Purely Functional Data Structures (PFDS) by Okasaki.
CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.
A parser for Garmin's FIT format.
Solutions to Okasaki's "Purely Functional Data Structures":
Probability and Statistics: a simulation-based introduction. An open-access book.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Python implementations of semiparametric statistical techniques.
My blog is not longer hosted on gitpages. See:
Material for the Berlin Bayesian reading group covering Statistical Rethinking by Richard McElreath
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Some solutions to Wood's Generalised Additive Models book.
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.