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Sample code for running deterministic variational inference to train Bayesian neural networks
Roadmap to becoming a web developer in 2018
Documentation for Docker Official Images in docker-library
Create and modify Tableau workbook and datasource files
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Integration of TensorFlow with other open-source frameworks
Principal Component Analysis and Fashion
Build cross platform desktop apps with JavaScript, HTML, and CSS
You want to embed your Tableau content in lots of places. Start here.
Coding Cheatsheets and Resources
Extensions API sample code and developer docs.
Fast Randomized PCA/SVD
Deep learning with dynamic computation graphs in TensorFlow
Companion code for the Full Stack Python Guide to Deployments book.
Full Stack Python source with Pelican, Bootstrap and Markdown.
Unofficial repository for GCMathParser/GCExpressionParser by Graham Cox
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
A Graphical Terminal Interface that extends xterm by adding GUI-like features and session sharing
Drop-down terminal for GNOME
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Haskell bindings for TensorFlow
A log parser for clusters
🍻 Default formulae for the missing package manager for macOS
iNaturalist competition details
CNN training code for iNaturalist 2018 image classification competition
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Interactive Parallel Computing in Python
Sample code for the Tableau JavaScript API
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.