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Homepage for STAT 157 at UC Berkeley
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 140 universities.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Collection of eBooks
Effective Python: Second Edition — Source Code and Errata for the Book
Parametric G-formula for R
The GFORMULA macro implements the parametric g-formula in SAS to estimate the risk or the mean of an outcome under sustained treatment strategies specified by the user
Companion webpage to the book "Mathematics For Machine Learning"
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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 ;)
Probabilistic reasoning and statistical analysis in TensorFlow
Programs
This repository contains jupyter notebooks and python code for KIT course: Python Algorithms for Automotive Engineering
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
Python Data Science Handbook: full text in Jupyter Notebooks
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of 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.