Popular GitHub Repositories for Stacking

A Julia machine learning framework

:dart: Personal data science and machine learning toolbox

Time Series Ensemble Forecasting

Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 air pollution level, as published in Towards Data Science on Medium.com

Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)

Ensemble Learning for Apache Spark ?

This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.

A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.

FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.

Model stacking for predictive ensembles

A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).

Example of MLflow usage for a kaggle competition (Santander 2019)

Predicting house prices using advanced regression techniques (Kaggle competition solution with model stacking & feature engineering).

专为可复现的研究、实时洞察和轻松部署而设计。