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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Bayesian Learning and Neural Networks (jupyter book sources)
efficient clime
An Emacs configuration bundle with batteries included
Example models for Stan
simple and scalable statistical modelling in R
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
Just a little MCMC
Slides of my introduction to the Tidyverse
R Interface to Keras
a collection of knitr examples
an R package for structural equation modeling and more
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Examples and exercises for Practices of the Python Pro from Manning Books 🐍📘
Bayesian IRT models in Python
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Solutions of Reinforcement Learning, An Introduction
Python Implementation of Reinforcement Learning: An Introduction
Mining Opinions, Exploring Trends and More with Twitter
TensorFlow for R
R interface to TensorFlow Probability
R Interface to Torch
My Vim configuration.
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.