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Slides and materials for workshop at University of Michigan MICDE
A Spark WordCountJob example as a standalone SBT project with Specs2 tests, runnable on Amazon EMR
External-facing website for CMU course 10-403, the Spring 2020 Edition
Open reproducible dataset on static site generators (SSG) popularity.
course materials for UC Davis STA141C: Big Data & High Performance Statistical Computing
Course materials for STA663
Class repository for fall 2013 Statistics 243 (Intro to Statistical Computing) at UC Berkeley
Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.
Statistical Data Analysis in Python
Statistics lecture notes
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
Selected Topics in Mathematical Optimization, now in Julia
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Architectural patterns of resilient distributed systems
Code and Presentation slides for Teaching the Elephant to Read
Resources for a talk about streaming data analysis in Python
Dataflow demo for crypto exchanges/traders where we ingest trades and order books from multiple exchanges. Create analytics like RSI, MACD, SMA. Anomaly detection etc
Embed Observable notebooks into Streamlit apps!
Repo of my settings for Sublime text 2
A practical example on how to perform sandwich attacks on Ethereum
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
Software Carpentry intermediate Git lesson.
Talk at the NIPS 2013 MLOSS workshop: IPython Notebook, HTML conversion and supporting materials.
Notebooks and slides for a presentation at the "Python at Microsoft day", Sept 17 2014
My talk at Strata 2014 in Santa Clara, CA
Collection of public talks
The open source teaching materials site for Git and GitHub technologies
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.