rusbruin Goto Github PK
Type: User
Location: Los Angeles, CA
Type: User
Location: Los Angeles, CA
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
A curated list of awesome machine learning interpretability resources.
useful aws scripts
Materials for following along with Hands-On Data Analysis with Pandas.
Materials for following along with Hands-On Data Analysis with Pandas, 2nd edition
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
I will save some useful Linux stuff here
Interpret ANY machine learning model
Code repository for O'Reilly book
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.