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Popular Android malware datasets
A curated list of awesome machine learning interpretability resources.
Deep learning for 12-lead ECG interpretation
Machine Learning on ECG to predict heart-beat classification.
The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Book about interpretable machine learning
Lime: Explaining the predictions of any machine learning classifier
Machine Learning In Arabic Tutorials for my YouTube channel
SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.
A game theoretic approach to explain the output of any machine learning model.
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.