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Code for "Logging and Monitoring" chapter of Using Docker
Plain python implementations of basic machine learning algorithms
Minimal and clean examples of machine learning algorithms implementations
detailed notes on computer science topics, in one page
Machine learning, in numpy
Code for "Orchestration, Clustering, and Management" chapter of Using Docker
Pandas Cookbook, published by Packt
A simple tutorial about effectively using pdb
Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak
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 ;)
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PyMC3 educational resources
All Algorithms implemented in Python
Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders
Notes for the Book Quantitative Trading by Ernie Chan
A collection of IPython Notebooks containing my research.
Statistical Rethinking course and book package
A simple sub-gradient SVM implementation in python and numpy
Apache Spark (PySpark) Practice on Real Data
Spark: The Definitive Guide's Code Repository
VIP cheatsheets for Stanford's CS 229 Machine Learning
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
An interactive online reading of McElreath's Statistical Rethinking
Solutions for the practice problems
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Port of the book Think Python to the Julia programming language
R code for graphics of Time Series Analysis and Its Applications, Ed 4
Code for "Using Docker In Development" Chapter of Using Docker
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.