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This repo cointains a brief introduction to bayesian statistics, incluiding: parameter estimation, hypothesis testing, linear regression and a bried example of bayesian neural networks
Markov Chain Monte Carlo (MCMC) Bayesian parameter estimation using pymc3.
Gibbs sampler for finding motif in DNA sequence
A robust gaussian - student t mixture model using gibbs sampling for pulsar timing analysis
Materi untuk Pembelajaran Git & Github
Implementation of MCMC Algorithms Metropolis-Hastings and Gibbs Sampling
This is a python tutorial for Bayesian inferences using MCMC. It includes concepts of reject sampling, markov chain stationary distribution, and uses Python package pymc.
Drafts of our book "R for for beginners"
R for data science: a book
Tutorial: Bayesian Statistical Analysis in Python
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.