aminnayebi Goto Github PK
Name: Amin Nayebi
Type: User
Company: University of Arizona
Bio: Ph.D. Student in Systems and Industrial Engineering
Location: Arizona
Name: Amin Nayebi
Type: User
Company: University of Arizona
Bio: Ph.D. Student in Systems and Industrial Engineering
Location: Arizona
Additive Gaussian Process Bandits - version 1.0
A Python library for the state-of-the-art parallel Bayesian optimization algorithms, with the core implemented in C++.
Code repository for Ensemble Bayesian Optimization
gpbo
The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
A game theoretic approach to explain the output of any machine learning model.
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
Comparison of different XAI methods for a tabular and time series data sets
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.