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Name: Fabio Sigrist
Type: User
Bio: Professor of Applied Statistics and Data Science at Lucerne University of Applied Sciences and Arts
Location: Switzerland
Name: Fabio Sigrist
Type: User
Bio: Professor of Applied Statistics and Data Science at Lucerne University of Applied Sciences and Arts
Location: Switzerland
Training and Testing a Set of Machine Learning/Deep Learning Models to Predict Airbnb Prices for NYC
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Machine Learning Methods for High-Cardinality Categorical Data
Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)
Create dummy variables in SPSS with Python 3 support for SPSS version 27 and latter
Combining tree-boosting with Gaussian process and mixed effects models
Comparing gradient and Newton boosting
This repository contains the R code for the simulations in the paper "Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models".
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A game theoretic approach to explain the output of any machine learning model.
spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach
A header-only C++ library for large scale eigenvalue problems
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
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.