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Efficient Batched Reinforcement Learning in TensorFlow
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
Student Materials for MTC Azure ML Workshop
A script to add markdown support to Asana
A curated list of awesome JSON datasets that don't require authentication.
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.
Bayesian Analysis with Python
Benchmark code
🍺 The missing package manager for macOS
An adversarial example library for constructing attacks, building defenses, and benchmarking both
The Docker CLI
Python SDK for the Microsoft Emotion API, part of Cognitive Services
Jupyter Notebook with Python samples for the Cognitive Services Computer Vision API
The best C# command line parser that brings standardized *nix getopt style, for .NET. Includes F# support
Helping you select a Python web framework based on an example app.
Free tech resources for faculty, students, and dev advocates for use in computer science courses, workshops, and hackathons.
Provides a set of tools which can be used to diagnose common infrastructure concerns in the connectivity layer.
User interface for ConversationLearner developers
Custom iTerm Applescripts for Alfred
Sample code showing how to integrate and embed Tableau in a web portal
In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.
Render some probabilistic graphical models using matplotlib
Convert any blog or website to an interactive learning platform for data science
Resource files for "Deep Learning - From Basics to Practice" by Andrew Glassner
Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner
Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner
Figures from Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner
Figures from Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner
Experiments towards neural network theorem proving
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.